{ "name": "InsightForge benchmark catalogue", "generated_at": null, "study_count": 18, "studies": [ { "slug": "gss-religion-2024", "source_label": "GSS (2024) — Religion belief (postlife + god + pray)", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). Published 1-5 means are the weighted raw means after each item's specific remap. The pray item is INVERTED in the codebook (raw 1 = highest prayer frequency = strongest religiosity); the SSR axis convention is always higher = stronger belief, so pray's rescale flips the raw direction.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). pray runs on the full ballot share (n=3,269); god and postlife sit on smaller ballot shares (god n=2,160, postlife n=1,283).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended Likert, no FGI. No moderator guide. postlife has run since 1973, god since 1988, pray since 1983 — all three with the same stems and value labels. The pray item's INVERTED direction is a fixture-side convention: SSR axis stays consistent at \"higher = stronger\" by flipping the raw 6-pt during the rescale.", "likert_labels": "postlife — 1='yes' (high religiosity = SSR 5), 2='no' (low = SSR 1). god — raw 1='I don't believe in God' (least religious = SSR 1), 2='no way to find out', 3='some higher power', 4='believe sometimes', 5='believe but have doubts', 6='know God really exists' (most religious = SSR 5). pray — raw 1='several times a day' (most frequent = SSR 5), 2='once a day', 3='several times a week', 4='once a week', 5='less than once a week', 6='never' (least frequent = SSR 1) — INVERTED direction from god. Each item's weighting_notes spells out the per-item rescale.", "question_text": "postlife (codebook verbatim): \"Do you believe there is a life after death?\" god: \"Which statement comes closest to expressing what you believe about God?\" with the six options below. pray: \"About how often do you pray?\" with the six options below." }, "questions": [ { "question_template_slot": "gss2024_rel_postlife", "prompt_text": "Do you believe there is a life after death?", "ground_truth_mean": 4.291, "ground_truth_ci_lower": 4.208, "ground_truth_ci_upper": 4.375, "ground_truth_sd": 1.527, "ground_truth_skewness": -1.691, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "1_no_pct": 17.7, "5_yes_pct": 82.3 }, "n_respondents": 1283, "weighting_notes": "Weighted to wtssps. Dichotomous: yes_share=0.823 → SSR=1+4·0.823=4.291. SSR 5 = believes in afterlife. Distribution keys are 1\/5 SSR anchors as weighted percentages." }, { "question_template_slot": "gss2024_rel_god", "prompt_text": "Which statement comes closest to expressing what you believe about God? (1=don't believe → 6=know God exists)", "ground_truth_mean": 3.964, "ground_truth_ci_lower": 3.909, "ground_truth_ci_upper": 4.02, "ground_truth_sd": 1.312, "ground_truth_skewness": -0.937, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_some_higher_pct": 14.1, "6_know_exists_pct": 51.2, "1_dont_believe_pct": 5.8, "2_no_way_to_find_pct": 8, "4_believe_sometimes_pct": 5.3, "5_believe_with_doubts_pct": 15.6 }, "n_respondents": 2160, "weighting_notes": "Weighted to wtssps. 6-pt ascending: SSR=1+(raw_mean-1)·4\/5. raw_mean=4.71 → SSR 3.96. Left-skewed — 51.2% at raw 6 ('know God exists') is the modal answer, with a long left tail (28% across raw 1-3 don't-believe \/ no-way-to-find \/ some-higher-power)." }, { "question_template_slot": "gss2024_rel_pray", "prompt_text": "About how often do you pray? (1=several times a day → 6=never)", "ground_truth_mean": 3.27, "ground_truth_ci_lower": 3.216, "ground_truth_ci_upper": 3.324, "ground_truth_sd": 1.572, "ground_truth_skewness": -0.291, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "6_never_pct": 21, "2_once_a_day_pct": 15.7, "4_once_a_week_pct": 6, "3_several_week_pct": 12.8, "5_less_than_week_pct": 13, "1_several_times_day_pct": 31.5 }, "n_respondents": 3269, "weighting_notes": "Weighted to wtssps. 6-pt INVERTED descending: SSR=1+(6-raw_mean)·4\/5 (raw 1 = several times day = SSR 5 = highest prayer; raw 6 = never = SSR 1 = lowest). raw_mean=3.16 → SSR 3.27. Textbook bimodal-asymmetric — 31.5% several-times-a-day + 21% never, only 6% at once-a-week midpoint. SD\/skew chip and shape badge surface that the mean alone hides." } ], "topic_key": "religion-belief" }, { "slug": "gss-political-identity-2024", "source_label": "GSS (2024) — Political identity (polviews + partyid 7-pt)", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). Published 1-5 means are the weighted raw means after the 7-pt 1+(raw-1)·4\/6 remap; distributions are weighted percentages of each ordinal code.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). Both items are on the larger ballot share (n ≈ 3,160 \/ 3,185 of the wave's 3,309 total — the full national sample for the political-identity rotation).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended Likert, no FGI. No moderator guide. polviews has run since 1974, partyid since 1972 — both with their original scale labels intact. The partyid raw code remap (0-6 → 1-7) is a fixture-side convenience for the SSR dispatch; downstream code that consumes the raw GSS file directly should remember to apply the +1 shift.", "likert_labels": "polviews — raw 1-7 codebook: 1='extremely liberal', 2='liberal', 3='slightly liberal', 4='moderate', 5='slightly conservative', 6='conservative', 7='extremely conservative'. partyid — raw 0-6 codebook, REMAPPED to 1-7 for this fixture so the SSR dispatch can read it: 0→1 'strong democrat', 1→2 'not very strong democrat', 2→3 'independent close to democrat', 3→4 'independent', 4→5 'independent close to republican', 5→6 'not very strong republican', 6→7 'strong republican'. SSR rescale 1 + (raw − 1) × 4\/6 maps both 7-pt axes onto SSR 1-5 with higher SSR = more conservative \/ more Republican. The convention is a direction, not a value judgement.", "question_text": "polviews (codebook verbatim): \"We hear a lot of talk these days about liberals and conservatives. I'm going to show you a seven-point scale on which the political views people might hold are arranged from extremely liberal — point 1 — to extremely conservative — point 7. Where would you place yourself on this scale?\" partyid: \"Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what?\" (codebook follow-ups distinguish strong\/not strong\/leaner across both parties; the original codebook scale runs 0-6)." }, "questions": [ { "question_template_slot": "gss2024_pol_polviews", "prompt_text": "Where would you place yourself on a seven-point scale from extremely liberal (1) to extremely conservative (7)?", "ground_truth_mean": 3.116, "ground_truth_ci_lower": 3.08, "ground_truth_ci_upper": 3.151, "ground_truth_sd": 1.01, "ground_truth_skewness": -0.033, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "2_liberal_pct": 13, "4_moderate_pct": 37.5, "6_conservative_pct": 17.1, "3_slight_liberal_pct": 10.9, "1_extreme_liberal_pct": 3.6, "5_slight_conservative_pct": 11.6, "7_extreme_conservative_pct": 6.4 }, "n_respondents": 3160, "weighting_notes": "Weighted to wtssps. 7-pt remap 1+(raw-1)·4\/6. Unimodal at 'moderate' (37.5%); the population averages to SSR 3.12, close to neutral. SSR 5 = conservative end (direction only). Distribution as weighted percentages of the 7 ordinal codes." }, { "question_template_slot": "gss2024_pol_partyid", "prompt_text": "Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what? (1=strong democrat → 7=strong republican)", "ground_truth_mean": 3.007, "ground_truth_ci_lower": 2.962, "ground_truth_ci_upper": 3.052, "ground_truth_sd": 1.306, "ground_truth_skewness": 0.004, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1_strong_dem_pct": 15, "7_strong_rep_pct": 15.3, "4_independent_pct": 27.1, "2_not_strong_dem_pct": 10.9, "3_indep_lean_dem_pct": 10.9, "5_indep_lean_rep_pct": 8.8, "6_not_strong_rep_pct": 12 }, "n_respondents": 3185, "weighting_notes": "Weighted to wtssps. 7-pt remap 1+(raw-1)·4\/6 applied AFTER the raw partyid 0-6 → 1-7 shift. The population averages to SSR 3.01 (almost exactly the SSR centre), but the SHAPE is trimodal — strong-dem (15.0%) + independent (27.1%) + strong-rep (15.3%) are all local modes. An SSR re-run that lands the mean from a unimodal moderate cluster misses the partisan sort entirely. Distribution as weighted percentages." } ], "topic_key": "political-identity" }, { "slug": "gss-sexual-morality-2024", "source_label": "GSS (2024) — Sexual-morality trio (homosex + xmarsex + premarsx)", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). The published 1-5 means are the weighted raw means after the 4-pt 1+(raw-1)·4\/3 remap; the published distributions are weighted percentages of each ordinal code.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). All three items are on the larger ballot share (per-item n ≈ 2,115-2,189 of the wave's 3,309 total). Don't-know \/ no-answer respondents drop from each variable's n per the standard GSS convention for these 4-pt morality items.", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended Likert, no FGI. No moderator guide. Each respondent rates each item independently in the same wave. premarsx has run since 1972, xmarsex since 1973, homosex since 1973 — all three with the same stem template and the same 4-pt value labels. The wording is 'wrong only sometimes' in the codebook; we collapse the 'only' for the distribution key label.", "likert_labels": "All three items share the codebook value set. 1 = 'always wrong' (least tolerant), 2 = 'almost always wrong', 3 = 'wrong only sometimes', 4 = 'not wrong at all' (most tolerant). SSR rescale 1 + (raw − 1) × 4\/3 maps the raw 1-4 axis onto SSR 1-5 with higher = more tolerant on both axes (raw 1→1.0, raw 2→2.33, raw 3→3.67, raw 4→5.0). NB this is the INVERSE direction from the SATJOB fixture, where raw 1 was the most positive answer.", "question_text": "homosex (codebook verbatim): \"What about sexual relations between two adults of the same sex — do you think it is always wrong, almost always wrong, wrong only sometimes, or not wrong at all?\" xmarsex: \"What is your opinion about a married person having sexual relations with someone other than the marriage partner — is it always wrong, almost always wrong, wrong only sometimes, or not wrong at all?\" premarsx: \"If a man and a woman have sex relations before marriage, do you think it is always wrong, almost always wrong, wrong only sometimes, or not wrong at all?\"" }, "questions": [ { "question_template_slot": "gss2024_sex_homosex", "prompt_text": "What about sexual relations between two adults of the same sex — do you think it is always wrong, almost always wrong, wrong only sometimes, or not wrong at all?", "ground_truth_mean": 3.462, "ground_truth_ci_lower": 3.383, "ground_truth_ci_upper": 3.54, "ground_truth_sd": 1.846, "ground_truth_skewness": -0.484, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1_always_wrong_pct": 33.6, "2_almost_always_pct": 3.8, "3_sometimes_wrong_pct": 6.8, "4_not_wrong_at_all_pct": 55.7 }, "n_respondents": 2125, "weighting_notes": "Weighted to wtssps (NORC GSS 2024 post-stratification). 4-pt remap 1+(raw-1)·4\/3 with raw 1=always wrong, raw 4=not wrong at all. Sharply bimodal (33.6% absolute condemnation + 55.7% absolute tolerance; only 10.6% in the middle two cells) — a shape an SD\/skew chip surfaces and a single mean hides. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_sex_xmarsex", "prompt_text": "What is your opinion about a married person having sexual relations with someone other than the marriage partner — is it always wrong, almost always wrong, wrong only sometimes, or not wrong at all?", "ground_truth_mean": 1.663, "ground_truth_ci_lower": 1.615, "ground_truth_ci_upper": 1.71, "ground_truth_sd": 1.138, "ground_truth_skewness": 1.607, "ground_truth_shape": "right-skewed", "ground_truth_distribution": { "1_always_wrong_pct": 69.6, "2_almost_always_pct": 15.7, "3_sometimes_wrong_pct": 10.1, "4_not_wrong_at_all_pct": 4.6 }, "n_respondents": 2189, "weighting_notes": "Weighted to wtssps. 4-pt remap. The least-tolerant cell in the catalogue at SSR 1.66 — 69.6% 'always wrong' is the highest absolute-condemnation share across every fixture. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_sex_premarsx", "prompt_text": "If a man and a woman have sex relations before marriage, do you think it is always wrong, almost always wrong, wrong only sometimes, or not wrong at all?", "ground_truth_mean": 4, "ground_truth_ci_lower": 3.934, "ground_truth_ci_upper": 4.065, "ground_truth_sd": 1.539, "ground_truth_skewness": -1.173, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "1_always_wrong_pct": 17.3, "2_almost_always_pct": 5.3, "3_sometimes_wrong_pct": 12.5, "4_not_wrong_at_all_pct": 64.9 }, "n_respondents": 2115, "weighting_notes": "Weighted to wtssps. 4-pt remap. Sits at SSR 4.00 — the most-tolerant of the three sexual-morality items. 'Not wrong at all' is the modal answer at 64.9%. Distribution as weighted percentages." } ], "topic_key": "sexual-morality" }, { "slug": "gss-policy-2024", "source_label": "GSS (2024) — Political-policy trio (death penalty + gun permit + marijuana)", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). High_share is the weighted proportion answering 'favor' (cappun, gunlaw) or 'legal' (grass). Dichotomous → 1-5 SSR mapping via 1 + 4 × high_share with 'depends\/dk' dropped.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). cappun and gunlaw are on the larger ballot share (n ≈ 2,070 \/ 2,191); grass is on a smaller ballot share (n ≈ 862). Don't-know \/ no-answer respondents drop from each variable's n per the standard GSS convention for these dichotomous items.", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended forced-choice, no FGI. No moderator guide. Each respondent answers each item independently in the same wave. cappun and gunlaw have run since 1972; grass since 1973. The 'support for the policy described' framing is an SSR-axis convention — the raw codebook does not direction-flip; we direction-flip only for visualisation comparability.", "likert_labels": "All three items are dichotomous yes\/no. cappun: 1 = 'favor' (high), 2 = 'oppose' (low). gunlaw: 1 = 'favor' (high), 2 = 'oppose' (low). grass: 1 = 'legal' (high), 2 = 'not legal' (low). The SSR rescale puts the policy-favoring answer at anchor 5 and the policy-opposing answer at anchor 1 across all three, so the 1-5 axis reads as 'support for the policy described' regardless of which direction is conservative vs progressive.", "question_text": "cappun (codebook verbatim): \"Do you favor or oppose the death penalty for persons convicted of murder?\" gunlaw: \"Would you favor or oppose a law which would require a person to obtain a police permit before he or she could buy a gun?\" grass: \"Do you think the use of marijuana should be made legal or not?\"" }, "questions": [ { "question_template_slot": "gss2024_pol_cappun", "prompt_text": "Do you favor or oppose the death penalty for persons convicted of murder?", "ground_truth_mean": 3.484, "ground_truth_ci_lower": 3.4, "ground_truth_ci_upper": 3.568, "ground_truth_sd": 1.941, "ground_truth_skewness": -0.499, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "5_favor_pct": 62.1, "1_oppose_pct": 37.9 }, "n_respondents": 2067, "weighting_notes": "Weighted to wtssps. high_share=0.621 → SSR=3.484. SSR 5 = 'favor death penalty', SSR 1 = 'oppose'. The 'conservative' answer reads at majority — a 60\/40 split rather than the 50\/50 partisan stereotype. Distribution keys are 1\/5 SSR anchors as weighted percentages." }, { "question_template_slot": "gss2024_pol_gunlaw", "prompt_text": "Would you favor or oppose a law which would require a person to obtain a police permit before he or she could buy a gun?", "ground_truth_mean": 3.738, "ground_truth_ci_lower": 3.661, "ground_truth_ci_upper": 3.816, "ground_truth_sd": 1.858, "ground_truth_skewness": -0.793, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "5_favor_pct": 68.5, "1_oppose_pct": 31.5 }, "n_respondents": 2191, "weighting_notes": "Weighted to wtssps. high_share=0.685 → SSR=3.738. SSR 5 = 'favor police permit before gun purchase', SSR 1 = 'oppose'. The 'progressive' regulatory answer reads at supermajority — gunlaw is the most supported item in the trio." }, { "question_template_slot": "gss2024_pol_grass", "prompt_text": "Do you think the use of marijuana should be made legal or not?", "ground_truth_mean": 3.682, "ground_truth_ci_lower": 3.556, "ground_truth_ci_upper": 3.807, "ground_truth_sd": 1.881, "ground_truth_skewness": -0.726, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "5_legal_pct": 67, "1_not_legal_pct": 33 }, "n_respondents": 862, "weighting_notes": "Weighted to wtssps. high_share=0.670 → SSR=3.682. SSR 5 = 'make marijuana legal', SSR 1 = 'not legal'. Smaller-ballot item (n ≈ 862 of the wave's 3,309 total). The 'progressive' deregulatory answer reads at strong supermajority." } ], "topic_key": "political-policy" }, { "slug": "gss-trust-2024", "source_label": "GSS (2024) — Generalised social trust battery", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). Each item's high-trust share is computed as (high_code_pct + 0.5 × depends_pct) \/ 100. The codebook's 'depends' option is included by design — dropping it shifts the means by 0.5–0.8 points and is not the historical NORC convention.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). All three items are on the same split-ballot (per-item n ≈ 940 of the wave's 3,309 total).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended forced-choice, no FGI. No moderator guide. Each respondent rates each item independently in the same wave. All three items have run since 1972 with the same stems and value labels; the 'depends' middle option is volunteered, not read.", "likert_labels": "trust — 1 = 'most can be trusted' (high-trust), 2 = 'can't be too careful' (low-trust), 3 = 'depends'. fair — 1 = 'would try to take advantage' (low-trust), 2 = 'would try to be fair' (high-trust), 3 = 'depends'. helpful — 1 = 'try to be helpful' (high-trust), 2 = 'just looking out for themselves' (low-trust), 3 = 'depends'. 1-5 SSR rescale: high_share × 4 + 1 with 'depends' counted as 0.5. Distribution keys are stored on the rescaled 1\/3\/5 SSR anchors — 1 is the low-trust anchor, 3 is 'depends', 5 is the high-trust anchor — so the same dispatch works regardless of which codebook code happens to be the high-trust one.", "question_text": "trust (codebook verbatim): \"Generally speaking, would you say that most people can be trusted or that you can't be too careful in dealing with people?\" fair: \"Do you think most people would try to take advantage of you if they got a chance, or would they try to be fair?\" helpful: \"Would you say that most of the time people try to be helpful, or that they are mostly just looking out for themselves?\"" }, "questions": [ { "question_template_slot": "gss2024_trust_general", "prompt_text": "Generally speaking, would you say that most people can be trusted or that you can't be too careful in dealing with people?", "ground_truth_mean": 2.204, "ground_truth_ci_lower": 2.087, "ground_truth_ci_upper": 2.321, "ground_truth_sd": 1.716, "ground_truth_skewness": 0.861, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "1_careful_pct": 64.6, "3_depends_pct": 10.5, "5_trusted_pct": 24.8 }, "n_respondents": 946, "weighting_notes": "Weighted to wtssps. trust_share=(24.8+0.5×10.5)\/100=0.301. SSR=1+4×0.301=2.204. Only 24.8% endorse the high-trust answer — the lowest of the three items by a clear margin. Distribution keys are 1\/3\/5 SSR anchors carrying weighted percentages." }, { "question_template_slot": "gss2024_trust_fair", "prompt_text": "Do you think most people would try to take advantage of you if they got a chance, or would they try to be fair?", "ground_truth_mean": 2.91, "ground_truth_ci_lower": 2.782, "ground_truth_ci_upper": 3.038, "ground_truth_sd": 1.872, "ground_truth_skewness": 0.089, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "5_fair_pct": 41.6, "3_depends_pct": 12.2, "1_advantage_pct": 46.1 }, "n_respondents": 940, "weighting_notes": "Weighted to wtssps. high-trust code is 2 in the raw codebook — re-anchored to SSR 5 for storage. trust_share=(41.6+0.5×12.2)\/100=0.4775. SSR=1+4×0.4775=2.910. Roughly 50\/50 with a small lean toward 'fair'. Distribution keys are 1\/3\/5 SSR anchors." }, { "question_template_slot": "gss2024_trust_helpful", "prompt_text": "Would you say that most of the time people try to be helpful, or that they are mostly just looking out for themselves?", "ground_truth_mean": 2.849, "ground_truth_ci_lower": 2.722, "ground_truth_ci_upper": 2.977, "ground_truth_sd": 1.819, "ground_truth_skewness": 0.15, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_depends_pct": 16.7, "5_helpful_pct": 37.9, "1_looking_out_pct": 45.4 }, "n_respondents": 939, "weighting_notes": "Weighted to wtssps. trust_share=(37.9+0.5×16.7)\/100=0.4624. SSR=1+4×0.4624=2.849. The largest 'depends' share in the battery (16.7%) — readers reach for the conditional answer more often when the prompt is about other people's intent toward the respondent personally. Distribution keys are 1\/3\/5 SSR anchors." } ], "topic_key": "social-trust" }, { "slug": "gss-wellbeing-2024", "source_label": "GSS (2024) — Well-being battery (HAPPY + HAPMAR + SATFIN + SATJOB)", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). The published 1-5 means are the weighted raw means after the 3-pt 7−2x or 4-pt 1+(4−x)·4\/3 remap; the published distributions are weighted percentages of each ordinal code.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener — every selected adult is invited regardless of attitudes. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). Two of the four items are subgroup-restricted: hapmar to married respondents (n = 1,351) and satjob to employed respondents (n = 2,244).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended Likert, no FGI. No moderator guide. Each respondent rates each item independently in the same wave. The HAPPY \/ SATFIN items have run since 1972 and SATJOB since 1972 with the same stems and value labels; HAPMAR was added in 1973 and gates on a 'currently married' screener earlier in the questionnaire.", "likert_labels": "happy \/ hapmar — 3 points: very happy (best) \/ pretty happy \/ not too happy (worst). satfin — 3 points: pretty well satisfied (best) \/ more or less satisfied \/ not satisfied at all (worst). satjob — 4 points: very satisfied (best) \/ moderately satisfied \/ a little dissatisfied \/ very dissatisfied (worst). 1-5 SSR rescale: 3-pt via 7−2x (1→5, 2→3, 3→1); 4-pt via 1+(4−x)·4\/3 (1→5.0, 2→3.67, 3→2.33, 4→1.0). No 'don't know'\/'no answer' — those respondents drop from each variable's n.", "question_text": "happy (general happiness): \"Taken all together, how would you say things are these days — would you say that you are very happy, pretty happy, or not too happy?\" hapmar (marital happiness, married only): \"Taking things all together, how would you describe your marriage? Would you say that your marriage is very happy, pretty happy, or not too happy?\" satfin (financial satisfaction): \"We are interested in how people are getting along financially these days. So far as you and your family are concerned, would you say that you are pretty well satisfied with your present financial situation, more or less satisfied, or not satisfied at all?\" satjob (job satisfaction, employed only): \"On the whole, how satisfied are you with the work you do — would you say you are very satisfied, moderately satisfied, a little dissatisfied, or very dissatisfied?\"" }, "questions": [ { "question_template_slot": "gss2024_wb_happy", "prompt_text": "Taken all together, how would you say things are these days — would you say that you are very happy, pretty happy, or not too happy?", "ground_truth_mean": 3.06, "ground_truth_ci_lower": 3.015, "ground_truth_ci_upper": 3.106, "ground_truth_sd": 1.322, "ground_truth_skewness": -0.032, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1_very_happy_pct": 23.4, "2_pretty_happy_pct": 56.2, "3_not_too_happy_pct": 20.4 }, "n_respondents": 3281, "weighting_notes": "Weighted to wtssps (NORC GSS 2024 post-stratification). 3-pt remap 7−2x. The 'not too happy' share is 20.4% but the mode is the middle option — general happiness is the most centred of the four items. Distribution as weighted percentages, ordinal-code keys (1 = best on the raw GSS scale)." }, { "question_template_slot": "gss2024_wb_hapmar", "prompt_text": "Taking things all together, how would you describe your marriage? Would you say that your marriage is very happy, pretty happy, or not too happy?", "ground_truth_mean": 4.146, "ground_truth_ci_lower": 4.086, "ground_truth_ci_upper": 4.206, "ground_truth_sd": 1.122, "ground_truth_skewness": -0.884, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1_very_happy_pct": 60.8, "2_pretty_happy_pct": 35.6, "3_not_too_happy_pct": 3.5 }, "n_respondents": 1351, "weighting_notes": "Weighted to wtssps. Married-only (subgroup n=1,351). 3-pt remap 7−2x. 'Very happy' at 60.8% is the highest within-battery happy-extreme cell — marital happiness is the most positively-skewed item in the GSS happiness\/satisfaction quartet. Ordinal-code keys." }, { "question_template_slot": "gss2024_wb_satfin", "prompt_text": "So far as you and your family are concerned, would you say that you are pretty well satisfied with your present financial situation, more or less satisfied, or not satisfied at all?", "ground_truth_mean": 2.834, "ground_truth_ci_lower": 2.784, "ground_truth_ci_upper": 2.884, "ground_truth_sd": 1.454, "ground_truth_skewness": 0.128, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_more_or_less_pct": 46.4, "3_not_satisfied_pct": 30.9, "1_pretty_satisfied_pct": 22.6 }, "n_respondents": 3291, "weighting_notes": "Weighted to wtssps. 3-pt remap 7−2x. The only sub-3.0 item in the battery — 30.9% report 'not satisfied at all' with their financial situation, ~10pp more than the 'not too happy' share for general happiness. Ordinal-code keys." }, { "question_template_slot": "gss2024_wb_satjob", "prompt_text": "On the whole, how satisfied are you with the work you do — would you say you are very satisfied, moderately satisfied, a little dissatisfied, or very dissatisfied?", "ground_truth_mean": 4.027, "ground_truth_ci_lower": 3.983, "ground_truth_ci_upper": 4.071, "ground_truth_sd": 1.066, "ground_truth_skewness": -1.029, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "4_very_dissat_pct": 4.3, "3_little_dissat_pct": 9.2, "1_very_satisfied_pct": 44.8, "2_moderately_satisfied_pct": 41.7 }, "n_respondents": 2244, "weighting_notes": "Weighted to wtssps. Employed-only (subgroup n=2,244). 4-pt remap 1+(4−x)·4\/3 (1→5.0, 2→3.67, 3→2.33, 4→1.0). Combined dissatisfied-tail (codes 3+4) sits at 13.5%. Distribution as weighted percentages, ordinal-code keys." } ], "topic_key": "wellbeing" }, { "slug": "gss-abortion-2024", "source_label": "GSS (2024) — Abortion attitudes battery", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). Yes-share is the weighted proportion answering 'yes' (= legal abortion should be possible under that condition). Dichotomous → 1-5 SSR mapping via yes_share × 4 + 1.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener — every selected adult is invited regardless of attitudes. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). Six of the seven AB items are on a split-ballot (per-item n ≈ 1,520–1,555); abany is on a larger ballot share (n = 2,140).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended forced-choice, no FGI. No moderator guide. Each respondent rates each condition cell independently in the same wave. The battery has run since 1972 with the same stem and the same value labels; abany was added in 1977. No reverse coding (unlike the LIB battery — yes here is always permissive).", "likert_labels": "Dichotomous (codebook value labels, verbatim). 1 = \"yes\". 2 = \"no\". Remapped to the SSR 1-5 scale via yes_share × 4 + 1 so that a higher number reads as more permissive (5.0 ≈ uniformly yes; 1.0 ≈ uniformly no; 3.0 = 50\/50). No 'don't know' \/ 'no answer' is included — those respondents drop from each variable's n.", "question_text": "Stem (codebook verbatim): \"Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if…\" followed by each of the seven conditions below. Items are read individually with the condition phrase substituted." }, "questions": [ { "question_template_slot": "gss2024_ab_hlth", "prompt_text": "Do you think it should be possible for a pregnant woman to obtain a legal abortion if the woman's own health is seriously endangered by the pregnancy?", "ground_truth_mean": 4.653, "ground_truth_ci_lower": 4.597, "ground_truth_ci_upper": 4.709, "ground_truth_sd": 1.127, "ground_truth_skewness": -2.933, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1_no_pct": 8.7, "5_yes_pct": 91.3 }, "n_respondents": 1555, "weighting_notes": "Weighted to wtssps (NORC GSS 2024 post-stratification). Yes_share 0.913 → SSR 4.653 (the highest-permissiveness cell in the 2024 wave — life-of-mother). Split-ballot. Distribution as weighted percentages of the two response codes." }, { "question_template_slot": "gss2024_ab_rape", "prompt_text": "Do you think it should be possible for a pregnant woman to obtain a legal abortion if she became pregnant as a result of rape?", "ground_truth_mean": 4.355, "ground_truth_ci_lower": 4.281, "ground_truth_ci_upper": 4.428, "ground_truth_sd": 1.47, "ground_truth_skewness": -1.843, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "1_no_pct": 16.1, "5_yes_pct": 83.9 }, "n_respondents": 1529, "weighting_notes": "Weighted to wtssps. Yes_share 0.839 → SSR 4.355. Split-ballot. Traumatic-condition cell. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_ab_defect", "prompt_text": "Do you think it should be possible for a pregnant woman to obtain a legal abortion if there is a strong chance of serious defect in the baby?", "ground_truth_mean": 4.144, "ground_truth_ci_lower": 4.062, "ground_truth_ci_upper": 4.226, "ground_truth_sd": 1.641, "ground_truth_skewness": -1.395, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "1_no_pct": 21.4, "5_yes_pct": 78.6 }, "n_respondents": 1526, "weighting_notes": "Weighted to wtssps. Yes_share 0.786 → SSR 4.144. Split-ballot. Traumatic-condition cell. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_ab_any", "prompt_text": "Do you think it should be possible for a pregnant woman to obtain a legal abortion if the woman wants it for any reason?", "ground_truth_mean": 3.318, "ground_truth_ci_lower": 3.234, "ground_truth_ci_upper": 3.402, "ground_truth_sd": 1.974, "ground_truth_skewness": -0.321, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1_no_pct": 42, "5_yes_pct": 58 }, "n_respondents": 2140, "weighting_notes": "Weighted to wtssps. Yes_share 0.580 → SSR 3.318. Fielded on a larger ballot share (n = 2,140 vs ~1,530 for the other six). Distribution as weighted percentages." }, { "question_template_slot": "gss2024_ab_nomore", "prompt_text": "Do you think it should be possible for a pregnant woman to obtain a legal abortion if she is married and does not want any more children?", "ground_truth_mean": 3.19, "ground_truth_ci_lower": 3.09, "ground_truth_ci_upper": 3.29, "ground_truth_sd": 1.991, "ground_truth_skewness": -0.192, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1_no_pct": 45.3, "5_yes_pct": 54.7 }, "n_respondents": 1522, "weighting_notes": "Weighted to wtssps. Yes_share 0.547 → SSR 3.190. Split-ballot. Elective cell. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_ab_poor", "prompt_text": "Do you think it should be possible for a pregnant woman to obtain a legal abortion if the family has a very low income and cannot afford any more children?", "ground_truth_mean": 3.148, "ground_truth_ci_lower": 3.048, "ground_truth_ci_upper": 3.248, "ground_truth_sd": 1.995, "ground_truth_skewness": -0.148, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1_no_pct": 46.3, "5_yes_pct": 53.7 }, "n_respondents": 1531, "weighting_notes": "Weighted to wtssps. Yes_share 0.537 → SSR 3.148. Split-ballot. Elective cell. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_ab_single", "prompt_text": "Do you think it should be possible for a pregnant woman to obtain a legal abortion if she is not married and does not want to marry the man?", "ground_truth_mean": 3.064, "ground_truth_ci_lower": 2.964, "ground_truth_ci_upper": 3.165, "ground_truth_sd": 1.999, "ground_truth_skewness": -0.064, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1_no_pct": 48.4, "5_yes_pct": 51.6 }, "n_respondents": 1525, "weighting_notes": "Weighted to wtssps. Yes_share 0.516 → SSR 3.064 (the lowest-permissiveness cell in the 2024 wave). Split-ballot. Elective cell. Distribution as weighted percentages." } ], "topic_key": "abortion" }, { "slug": "gss-free-speech-2024", "source_label": "GSS (2024) — Civil liberties (SPK + LIB) batteries", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). Tolerant share is the weighted proportion answering 'allowed to speak' (SPK) or 'would not favor removing' (LIB). Dichotomous → 1-5 SSR mapping via tolerant_share × 4 + 1.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener — every selected adult is invited regardless of attitudes. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC). SPK\/LIB items are split-ballot (per-item n ≈ 1,100–1,130, vs the wave's 3,309 total).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended forced-choice, no FGI. No moderator guide. Each respondent rates each category × battery cell independently in the same wave. SPK and LIB have run since 1972 \/ 1976 with the same stems and value labels; the 2024 wave dropped homo, militarist, and the full COL battery — only 8 of the historical 15 cells are present.", "likert_labels": "Dichotomous (codebook value labels, verbatim). SPK: 1 = \"allowed\", 2 = \"not allowed\" — tolerant_code = 1. LIB: 1 = \"favor removing\", 2 = \"would not remove\" — tolerant_code = 2 (reverse). Both remapped to the SSR 1-5 scale via tolerant_share × 4 + 1 so that a higher number reads as more tolerance. No 'don't know' \/ 'no answer' is included — those respondents drop from each variable's n.", "question_text": "SPK stem (codebook verbatim): \"If such a person wanted to make a speech in your community, should he\/she be allowed to speak, or not?\" LIB stem: \"If some people in your community suggested that a book he\/she wrote should be taken out of your public library, would you favor removing this book, or not?\" The target category (atheist \/ communist \/ racist \/ anti-American Muslim clergyman) substitutes 'such a person'." }, "questions": [ { "question_template_slot": "gss2024_spk_atheist", "prompt_text": "If a person who is against all churches and religion wanted to make a speech in your community, should he be allowed to speak, or not?", "ground_truth_mean": 4.182, "ground_truth_ci_lower": 4.088, "ground_truth_ci_upper": 4.276, "ground_truth_sd": 1.612, "ground_truth_skewness": -1.465, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "5_tolerant_pct": 79.6, "1_intolerant_pct": 20.4 }, "n_respondents": 1133, "weighting_notes": "Weighted to wtssps (NORC GSS 2024 post-stratification). Tolerant_share 0.796 → SSR 4.182 via tolerant_share × 4 + 1. Split-ballot item (n ≈ 1,100–1,130 of the wave's 3,309). Distribution as weighted percentages of the two response codes." }, { "question_template_slot": "gss2024_spk_communist", "prompt_text": "If an admitted Communist wanted to make a speech in your community, should he be allowed to speak, or not?", "ground_truth_mean": 3.603, "ground_truth_ci_lower": 3.49, "ground_truth_ci_upper": 3.715, "ground_truth_sd": 1.907, "ground_truth_skewness": -0.632, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "5_tolerant_pct": 65.1, "1_intolerant_pct": 34.9 }, "n_respondents": 1107, "weighting_notes": "Weighted to wtssps. Tolerant_share 0.651 → SSR 3.603. Split-ballot. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_spk_racist", "prompt_text": "If a person who believes that Blacks are genetically inferior wanted to make a speech in your community, should he be allowed to speak, or not?", "ground_truth_mean": 2.839, "ground_truth_ci_lower": 2.722, "ground_truth_ci_upper": 2.955, "ground_truth_sd": 1.994, "ground_truth_skewness": 0.162, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "5_tolerant_pct": 46, "1_intolerant_pct": 54 }, "n_respondents": 1128, "weighting_notes": "Weighted to wtssps. Tolerant_share 0.460 → SSR 2.839. Split-ballot. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_spk_muslim", "prompt_text": "If a Muslim clergyman who preaches hatred of the United States wanted to make a speech in your community, should he be allowed to speak, or not?", "ground_truth_mean": 2.648, "ground_truth_ci_lower": 2.532, "ground_truth_ci_upper": 2.763, "ground_truth_sd": 1.969, "ground_truth_skewness": 0.358, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "5_tolerant_pct": 41.2, "1_intolerant_pct": 58.8 }, "n_respondents": 1118, "weighting_notes": "Weighted to wtssps. Tolerant_share 0.412 → SSR 2.648 (the lowest-tolerance cell in the 2024 wave). Split-ballot. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_lib_atheist", "prompt_text": "If some people in your community suggested that a book written by an anti-religion atheist should be taken out of your public library, would you favor removing this book, or not?", "ground_truth_mean": 4.12, "ground_truth_ci_lower": 4.023, "ground_truth_ci_upper": 4.217, "ground_truth_sd": 1.657, "ground_truth_skewness": -1.352, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "5_tolerant_pct": 78, "1_intolerant_pct": 22 }, "n_respondents": 1120, "weighting_notes": "Weighted to wtssps. Reverse-coded (LIB tolerant = code 2 = 'would not remove'). Tolerant_share 0.780 → SSR 4.120. Split-ballot. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_lib_communist", "prompt_text": "If some people in your community suggested that a book written by an admitted Communist should be taken out of your public library, would you favor removing this book, or not?", "ground_truth_mean": 3.78, "ground_truth_ci_lower": 3.672, "ground_truth_ci_upper": 3.889, "ground_truth_sd": 1.842, "ground_truth_skewness": -0.847, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "5_tolerant_pct": 69.5, "1_intolerant_pct": 30.5 }, "n_respondents": 1113, "weighting_notes": "Weighted to wtssps. Reverse-coded. Tolerant_share 0.695 → SSR 3.780. LIB > SPK for the same category — pulling a book is a higher bar than blocking a speech. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_lib_racist", "prompt_text": "If some people in your community suggested that a book written by a racist (who believes Blacks are genetically inferior) should be taken out of your public library, would you favor removing this book, or not?", "ground_truth_mean": 3.227, "ground_truth_ci_lower": 3.111, "ground_truth_ci_upper": 3.344, "ground_truth_sd": 1.987, "ground_truth_skewness": -0.228, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "5_tolerant_pct": 55.7, "1_intolerant_pct": 44.3 }, "n_respondents": 1123, "weighting_notes": "Weighted to wtssps. Reverse-coded. Tolerant_share 0.557 → SSR 3.227. LIB > SPK (vs spkrac 2.839) — same gradient as the other categories. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_lib_muslim", "prompt_text": "If some people in your community suggested that a book written by a Muslim clergyman who preaches hatred of the United States should be taken out of your public library, would you favor removing this book, or not?", "ground_truth_mean": 3.085, "ground_truth_ci_lower": 2.968, "ground_truth_ci_upper": 3.201, "ground_truth_sd": 1.998, "ground_truth_skewness": -0.086, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "5_tolerant_pct": 52.1, "1_intolerant_pct": 47.9 }, "n_respondents": 1126, "weighting_notes": "Weighted to wtssps. Reverse-coded. Tolerant_share 0.521 → SSR 3.085. LIB > SPK (vs spkmslm 2.648). Distribution as weighted percentages." } ], "topic_key": "civil-liberties" }, { "slug": "gss-natspend-2024", "source_label": "GSS (2024) — Federal spending priorities battery", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). The 2024 wave fields most NATSPEND items on a split ballot: an A-version (e.g. natfare 'welfare') and a Y-version (e.g. natfarey 'assistance to the poor') reach different roughly-half subsamples, so n per item is ≈ 1,580 — except natroad \/ natsoc \/ natchld \/ natsci \/ natenrgy which run on the full sample at n ≈ 3,150–3,250.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener — every selected adult is invited regardless of policy preferences. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended Likert, no FGI. No moderator guide. Each respondent rates each item independently in the same wave. natmass (mass transportation) and natpark (parks) are absent from the 2024 wave and are not paired. The A\/Y split ballot is left intact rather than averaged: both wordings are paired so a reader can see the wording effect directly.", "likert_labels": "3-point scale (codebook value labels, verbatim). 1 = \"too little\". 2 = \"about right\". 3 = \"too much\". Linearly remapped to the SSR 1-5 scale via f(x) = 7 − 2x so that a higher number always reads as 'we should spend more'. No 'don't know' \/ 'no answer' is included — those respondents drop from the variable's n.", "question_text": "Stem (codebook verbatim): \"We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount.\" Each item is then read with its own short label." }, "questions": [ { "question_template_slot": "gss2024_nat_space", "prompt_text": "Are we spending too much, too little, or about the right amount on space exploration?", "ground_truth_mean": 2.82, "ground_truth_ci_lower": 2.751, "ground_truth_ci_upper": 2.888, "ground_truth_sd": 1.388, "ground_truth_skewness": 0.122, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_too_much_pct": 29, "1_too_little_pct": 20, "2_about_right_pct": 51 }, "n_respondents": 1580, "weighting_notes": "Weighted to wtssps. Raw 3-pt 2.090. 3-pt → 1-5 via 7−2x. Split-ballot A item, n ≈ 1,580." }, { "question_template_slot": "gss2024_nat_environment", "prompt_text": "Are we spending too much, too little, or about the right amount on improving and protecting the environment?", "ground_truth_mean": 4.094, "ground_truth_ci_lower": 4.027, "ground_truth_ci_upper": 4.16, "ground_truth_sd": 1.368, "ground_truth_skewness": -1.201, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 11, "1_too_little_pct": 65.7, "2_about_right_pct": 23.3 }, "n_respondents": 1643, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.453. Split-ballot A item." }, { "question_template_slot": "gss2024_nat_health", "prompt_text": "Are we spending too much, too little, or about the right amount on improving the nation's health?", "ground_truth_mean": 4.322, "ground_truth_ci_lower": 4.262, "ground_truth_ci_upper": 4.381, "ground_truth_sd": 1.223, "ground_truth_skewness": -1.616, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 7.5, "1_too_little_pct": 73.6, "2_about_right_pct": 18.8 }, "n_respondents": 1645, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.339. Split-ballot A item." }, { "question_template_slot": "gss2024_nat_city", "prompt_text": "Are we spending too much, too little, or about the right amount on solving problems of big cities?", "ground_truth_mean": 3.764, "ground_truth_ci_lower": 3.688, "ground_truth_ci_upper": 3.841, "ground_truth_sd": 1.552, "ground_truth_skewness": -0.779, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 18.3, "1_too_little_pct": 56.5, "2_about_right_pct": 25.2 }, "n_respondents": 1591, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.618. Split-ballot A item." }, { "question_template_slot": "gss2024_nat_crime", "prompt_text": "Are we spending too much, too little, or about the right amount on halting the rising crime rate?", "ground_truth_mean": 4.258, "ground_truth_ci_lower": 4.199, "ground_truth_ci_upper": 4.316, "ground_truth_sd": 1.202, "ground_truth_skewness": -1.389, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 6.4, "1_too_little_pct": 69.3, "2_about_right_pct": 24.3 }, "n_respondents": 1638, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.371. Split-ballot A item." }, { "question_template_slot": "gss2024_nat_drug", "prompt_text": "Are we spending too much, too little, or about the right amount on dealing with drug addiction?", "ground_truth_mean": 4.201, "ground_truth_ci_lower": 4.139, "ground_truth_ci_upper": 4.263, "ground_truth_sd": 1.274, "ground_truth_skewness": -1.343, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 8.3, "1_too_little_pct": 68.4, "2_about_right_pct": 23.3 }, "n_respondents": 1637, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.399. Split-ballot A item." }, { "question_template_slot": "gss2024_nat_education", "prompt_text": "Are we spending too much, too little, or about the right amount on improving the education system?", "ground_truth_mean": 4.381, "ground_truth_ci_lower": 4.325, "ground_truth_ci_upper": 4.438, "ground_truth_sd": 1.172, "ground_truth_skewness": -1.741, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "3_too_much_pct": 6.5, "1_too_little_pct": 75.6, "2_about_right_pct": 17.9 }, "n_respondents": 1662, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.309. Split-ballot A item. Top spending priority in 2024." }, { "question_template_slot": "gss2024_nat_race", "prompt_text": "Are we spending too much, too little, or about the right amount on improving the conditions of Blacks?", "ground_truth_mean": 3.634, "ground_truth_ci_lower": 3.564, "ground_truth_ci_upper": 3.705, "ground_truth_sd": 1.426, "ground_truth_skewness": -0.547, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 14.6, "1_too_little_pct": 46.3, "2_about_right_pct": 39.1 }, "n_respondents": 1591, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.683. Split-ballot A item — Y wording (natracey) lands at 3.39, a wording-effect delta of 0.24." }, { "question_template_slot": "gss2024_nat_arms", "prompt_text": "Are we spending too much, too little, or about the right amount on the military, armaments, and defense?", "ground_truth_mean": 3.031, "ground_truth_ci_lower": 2.957, "ground_truth_ci_upper": 3.106, "ground_truth_sd": 1.536, "ground_truth_skewness": -0.025, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_too_much_pct": 28.7, "1_too_little_pct": 30.3, "2_about_right_pct": 41 }, "n_respondents": 1626, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.984. Split-ballot A item." }, { "question_template_slot": "gss2024_nat_aid", "prompt_text": "Are we spending too much, too little, or about the right amount on foreign aid?", "ground_truth_mean": 1.953, "ground_truth_ci_lower": 1.888, "ground_truth_ci_upper": 2.018, "ground_truth_sd": 1.338, "ground_truth_skewness": 1.078, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 62.3, "1_too_little_pct": 9.9, "2_about_right_pct": 27.8 }, "n_respondents": 1617, "weighting_notes": "Weighted to wtssps. Raw 3-pt 2.523. Split-ballot A item." }, { "question_template_slot": "gss2024_nat_welfare", "prompt_text": "Are we spending too much, too little, or about the right amount on welfare?", "ground_truth_mean": 3.038, "ground_truth_ci_lower": 2.96, "ground_truth_ci_upper": 3.117, "ground_truth_sd": 1.611, "ground_truth_skewness": -0.034, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_too_much_pct": 31.5, "1_too_little_pct": 33.4, "2_about_right_pct": 35.1 }, "n_respondents": 1635, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.981. Split-ballot A item — Y wording 'assistance to the poor' (natfarey) lands at 4.23, a wording-effect delta of 1.19. Largest wording effect in the battery." }, { "question_template_slot": "gss2024_nat_road", "prompt_text": "Are we spending too much, too little, or about the right amount on highways and bridges?", "ground_truth_mean": 3.818, "ground_truth_ci_lower": 3.772, "ground_truth_ci_upper": 3.864, "ground_truth_sd": 1.35, "ground_truth_skewness": -0.711, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 10.7, "1_too_little_pct": 51.6, "2_about_right_pct": 37.7 }, "n_respondents": 3244, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.591. Full 2024 ballot, n ≈ 3,150–3,250." }, { "question_template_slot": "gss2024_nat_socsec", "prompt_text": "Are we spending too much, too little, or about the right amount on Social Security?", "ground_truth_mean": 4.092, "ground_truth_ci_lower": 4.05, "ground_truth_ci_upper": 4.135, "ground_truth_sd": 1.233, "ground_truth_skewness": -1.021, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 6.6, "1_too_little_pct": 61.2, "2_about_right_pct": 32.1 }, "n_respondents": 3200, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.454. Full 2024 ballot." }, { "question_template_slot": "gss2024_nat_childcare", "prompt_text": "Are we spending too much, too little, or about the right amount on assistance for childcare?", "ground_truth_mean": 4.095, "ground_truth_ci_lower": 4.051, "ground_truth_ci_upper": 4.139, "ground_truth_sd": 1.277, "ground_truth_skewness": -1.099, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 8, "1_too_little_pct": 62.8, "2_about_right_pct": 29.2 }, "n_respondents": 3191, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.452. Full 2024 ballot." }, { "question_template_slot": "gss2024_nat_science", "prompt_text": "Are we spending too much, too little, or about the right amount on supporting scientific research?", "ground_truth_mean": 3.568, "ground_truth_ci_lower": 3.522, "ground_truth_ci_upper": 3.614, "ground_truth_sd": 1.319, "ground_truth_skewness": -0.382, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_too_much_pct": 11.6, "1_too_little_pct": 40, "2_about_right_pct": 48.5 }, "n_respondents": 3140, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.716. Full 2024 ballot." }, { "question_template_slot": "gss2024_nat_spacey", "prompt_text": "Are we spending too much, too little, or about the right amount on space exploration? (Y-ballot variant)", "ground_truth_mean": 2.906, "ground_truth_ci_lower": 2.837, "ground_truth_ci_upper": 2.975, "ground_truth_sd": 1.384, "ground_truth_skewness": 0.062, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_too_much_pct": 26.4, "1_too_little_pct": 21.7, "2_about_right_pct": 51.9 }, "n_respondents": 1543, "weighting_notes": "Weighted to wtssps. Raw 3-pt 2.047. Split-ballot Y item — A wording (natspac) lands at 2.82, a small wording-effect delta of 0.09." }, { "question_template_slot": "gss2024_nat_energy", "prompt_text": "Are we spending too much, too little, or about the right amount on developing alternative energy sources?", "ground_truth_mean": 3.659, "ground_truth_ci_lower": 3.608, "ground_truth_ci_upper": 3.709, "ground_truth_sd": 1.457, "ground_truth_skewness": -0.598, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 15.5, "1_too_little_pct": 48.4, "2_about_right_pct": 36.1 }, "n_respondents": 3183, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.671. Full 2024 ballot." }, { "question_template_slot": "gss2024_nat_drugy", "prompt_text": "Are we spending too much, too little, or about the right amount on drug rehabilitation? (Y-ballot wording of natdrug)", "ground_truth_mean": 3.986, "ground_truth_ci_lower": 3.919, "ground_truth_ci_upper": 4.052, "ground_truth_sd": 1.347, "ground_truth_skewness": -0.976, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 10.2, "1_too_little_pct": 59.4, "2_about_right_pct": 30.4 }, "n_respondents": 1570, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.507. Split-ballot Y item — A wording 'dealing with drug addiction' (natdrug) lands at 4.20, a delta of 0.21." }, { "question_template_slot": "gss2024_nat_educationy", "prompt_text": "Are we spending too much, too little, or about the right amount on education? (Y-ballot wording of nateduc)", "ground_truth_mean": 4.25, "ground_truth_ci_lower": 4.187, "ground_truth_ci_upper": 4.313, "ground_truth_sd": 1.287, "ground_truth_skewness": -1.485, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 9, "1_too_little_pct": 71.5, "2_about_right_pct": 19.5 }, "n_respondents": 1608, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.375. Split-ballot Y item — A wording (nateduc) lands at 4.38." }, { "question_template_slot": "gss2024_nat_racey", "prompt_text": "Are we spending too much, too little, or about the right amount on assistance to Blacks? (Y-ballot wording of natrace)", "ground_truth_mean": 3.389, "ground_truth_ci_lower": 3.313, "ground_truth_ci_upper": 3.465, "ground_truth_sd": 1.493, "ground_truth_skewness": -0.331, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_too_much_pct": 20, "1_too_little_pct": 39.5, "2_about_right_pct": 40.5 }, "n_respondents": 1496, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.806. Split-ballot Y item — see natrace at 3.63." }, { "question_template_slot": "gss2024_nat_farey", "prompt_text": "Are we spending too much, too little, or about the right amount on assistance to the poor? (Y-ballot wording of natfare 'welfare')", "ground_truth_mean": 4.228, "ground_truth_ci_lower": 4.165, "ground_truth_ci_upper": 4.292, "ground_truth_sd": 1.295, "ground_truth_skewness": -1.435, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 9.1, "1_too_little_pct": 70.5, "2_about_right_pct": 20.5 }, "n_respondents": 1595, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.386. Split-ballot Y item — A wording 'welfare' (natfare) lands at 3.04, the largest wording effect in the battery." }, { "question_template_slot": "gss2024_nat_armsy", "prompt_text": "Are we spending too much, too little, or about the right amount on national defense? (Y-ballot wording of natarms)", "ground_truth_mean": 3.154, "ground_truth_ci_lower": 3.078, "ground_truth_ci_upper": 3.23, "ground_truth_sd": 1.538, "ground_truth_skewness": -0.132, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "3_too_much_pct": 26, "1_too_little_pct": 33.7, "2_about_right_pct": 40.3 }, "n_respondents": 1570, "weighting_notes": "Weighted to wtssps. Raw 3-pt 1.923. Split-ballot Y item — see natarms at 3.03." }, { "question_template_slot": "gss2024_nat_aidy", "prompt_text": "Are we spending too much, too little, or about the right amount on assistance to other countries? (Y-ballot wording of nataid)", "ground_truth_mean": 1.854, "ground_truth_ci_lower": 1.789, "ground_truth_ci_upper": 1.918, "ground_truth_sd": 1.313, "ground_truth_skewness": 1.258, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "3_too_much_pct": 66.6, "1_too_little_pct": 9.3, "2_about_right_pct": 24 }, "n_respondents": 1585, "weighting_notes": "Weighted to wtssps. Raw 3-pt 2.573. Split-ballot Y item — bottom of the battery." } ], "topic_key": "federal-spending" }, { "slug": "gss-confidence-2024", "source_label": "GSS (2024) — Confidence in U.S. institutions battery", "source_url": "https:\/\/gss.norc.org\/get-the-data\/", "license": "Public domain (NSF-funded, NORC at the University of Chicago)", "fielded_at": "2024-06-01", "methodology": "survey", "n_respondents": 3309, "disclosure": { "license": "Public domain (NSF-funded). Required citation: Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L. General Social Survey 1972-2024. NORC ed., Chicago, 2025.", "weights": "Weighted to wtssps (NORC's recommended GSS 2024 post-stratification weight, person-level). Unweighted-vs-weighted differences for the CONFIDENCE battery are small but non-zero; downstream comparisons should use the weighted means below, not the raw counts.", "screener": "GSS uses an address-based national probability sample of U.S. adults 18+. The 2024 cross-section ran mixed-mode (in-person + web push). No content screener — every selected adult is invited regardless of attitudes. Sampling frame and selection probability are documented in the GSS 2024 Codebook R3 (NORC).", "fieldwork": "United States, 2024 cross-section. Fieldwork March–November 2024 per the GSS 2024 Codebook R3 (page 1). Modes: in-person and web push (push-to-web for the subsample without prior in-person contact).", "coding_rules": "Closed-ended Likert, no FGI. No moderator guide. Each respondent rates each institution independently in the same survey wave. The battery has run since 1973 with the same stem and the same value labels, so cross-wave comparisons are intentional by design.", "likert_labels": "3-point scale (codebook value labels, verbatim). 1 = \"a great deal\". 2 = \"only some\". 3 = \"hardly any\". Linearly remapped to the SSR 1-5 scale via f(x) = 7 − 2x so that a higher number reads as more confidence (1-5 of 5.0 ≈ 'a great deal', 1.0 ≈ 'hardly any', 3.0 ≈ 'only some'). No 'don't know' \/ 'no answer' is included — those respondents drop from the variable's n.", "question_text": "Stem (codebook verbatim): \"I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal of confidence, only some confidence, or hardly any confidence at all in them?\" Items are read individually with the institution name substituted." }, "questions": [ { "question_template_slot": "gss2024_conf_banks", "prompt_text": "How much confidence do you have in the people running banks and financial institutions in this country?", "ground_truth_mean": 2.848, "ground_truth_ci_lower": 2.794, "ground_truth_ci_upper": 2.902, "ground_truth_sd": 1.299, "ground_truth_skewness": 0.025, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 57, "1_great_deal_pct": 17, "3_hardly_any_pct": 26 }, "n_respondents": 2164, "weighting_notes": "Weighted to wtssps (NORC GSS 2024 post-stratification). Raw 3-pt weighted mean 2.076 (lower = more confidence). 3-pt → 1-5 mapped linearly via 7 − 2x. Distribution shown as weighted percentages, 1 decimal." }, { "question_template_slot": "gss2024_conf_majorcos", "prompt_text": "How much confidence do you have in the people running major companies in this country?", "ground_truth_mean": 2.813, "ground_truth_ci_lower": 2.76, "ground_truth_ci_upper": 2.865, "ground_truth_sd": 1.286, "ground_truth_skewness": 0.086, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 57.8, "1_great_deal_pct": 16.4, "3_hardly_any_pct": 25.8 }, "n_respondents": 2139, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.094. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_religion", "prompt_text": "How much confidence do you have in the people running organized religion in this country?", "ground_truth_mean": 2.613, "ground_truth_ci_lower": 2.555, "ground_truth_ci_upper": 2.671, "ground_truth_sd": 1.397, "ground_truth_skewness": 0.286, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 47.5, "1_great_deal_pct": 16.6, "3_hardly_any_pct": 35.9 }, "n_respondents": 2122, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.193. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_education", "prompt_text": "How much confidence do you have in the people running education in this country?", "ground_truth_mean": 2.88, "ground_truth_ci_lower": 2.823, "ground_truth_ci_upper": 2.937, "ground_truth_sd": 1.337, "ground_truth_skewness": 0.069, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 54.9, "1_great_deal_pct": 19.5, "3_hardly_any_pct": 25.5 }, "n_respondents": 2164, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.060. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_executive", "prompt_text": "How much confidence do you have in the people running the executive branch of the federal government?", "ground_truth_mean": 2.314, "ground_truth_ci_lower": 2.256, "ground_truth_ci_upper": 2.372, "ground_truth_sd": 1.319, "ground_truth_skewness": 0.508, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "2_only_some_pct": 44.8, "1_great_deal_pct": 10.5, "3_hardly_any_pct": 44.7 }, "n_respondents": 2145, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.343. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_labor", "prompt_text": "How much confidence do you have in the people running organized labor in this country?", "ground_truth_mean": 2.885, "ground_truth_ci_lower": 2.809, "ground_truth_ci_upper": 2.962, "ground_truth_sd": 1.272, "ground_truth_skewness": 0.047, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 59.2, "1_great_deal_pct": 17.5, "3_hardly_any_pct": 23.3 }, "n_respondents": 1060, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.057. SMALLER n (1,060 vs ~2,150 for other items) — GSS rotates conlabor onto a smaller ballot share." }, { "question_template_slot": "gss2024_conf_press", "prompt_text": "How much confidence do you have in the people running the press in this country?", "ground_truth_mean": 2.051, "ground_truth_ci_lower": 1.998, "ground_truth_ci_upper": 2.105, "ground_truth_sd": 1.264, "ground_truth_skewness": 0.795, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "2_only_some_pct": 37.5, "1_great_deal_pct": 7.5, "3_hardly_any_pct": 55 }, "n_respondents": 2142, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.474. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_medicine", "prompt_text": "How much confidence do you have in the people running medicine in this country?", "ground_truth_mean": 3.131, "ground_truth_ci_lower": 3.074, "ground_truth_ci_upper": 3.188, "ground_truth_sd": 1.352, "ground_truth_skewness": -0.081, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 53.9, "1_great_deal_pct": 26.3, "3_hardly_any_pct": 19.8 }, "n_respondents": 2159, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 1.935. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_tv", "prompt_text": "How much confidence do you have in the people running television in this country?", "ground_truth_mean": 2.201, "ground_truth_ci_lower": 2.147, "ground_truth_ci_upper": 2.255, "ground_truth_sd": 1.271, "ground_truth_skewness": 0.579, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "2_only_some_pct": 43.7, "1_great_deal_pct": 8.2, "3_hardly_any_pct": 48.1 }, "n_respondents": 2154, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.400. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_court", "prompt_text": "How much confidence do you have in the people running the U.S. Supreme Court?", "ground_truth_mean": 2.638, "ground_truth_ci_lower": 2.577, "ground_truth_ci_upper": 2.699, "ground_truth_sd": 1.442, "ground_truth_skewness": 0.286, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 44.8, "1_great_deal_pct": 18.6, "3_hardly_any_pct": 36.7 }, "n_respondents": 2145, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.181. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_science", "prompt_text": "How much confidence do you have in the people running the scientific community in this country?", "ground_truth_mean": 3.486, "ground_truth_ci_lower": 3.431, "ground_truth_ci_upper": 3.542, "ground_truth_sd": 1.302, "ground_truth_skewness": -0.291, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 51.7, "1_great_deal_pct": 36.3, "3_hardly_any_pct": 12 }, "n_respondents": 2121, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 1.757. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_congress", "prompt_text": "How much confidence do you have in the people running Congress?", "ground_truth_mean": 2.075, "ground_truth_ci_lower": 2.024, "ground_truth_ci_upper": 2.126, "ground_truth_sd": 1.201, "ground_truth_skewness": 0.631, "ground_truth_shape": "bimodal-asymmetric", "ground_truth_distribution": { "2_only_some_pct": 42.5, "1_great_deal_pct": 5.6, "3_hardly_any_pct": 51.9 }, "n_respondents": 2148, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 2.463. Distribution as weighted percentages." }, { "question_template_slot": "gss2024_conf_military", "prompt_text": "How much confidence do you have in the people running the military in this country?", "ground_truth_mean": 3.634, "ground_truth_ci_lower": 3.577, "ground_truth_ci_upper": 3.69, "ground_truth_sd": 1.342, "ground_truth_skewness": -0.476, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "2_only_some_pct": 45, "1_great_deal_pct": 43.3, "3_hardly_any_pct": 11.7 }, "n_respondents": 2155, "weighting_notes": "Weighted to wtssps. Raw 3-pt weighted mean 1.683. Distribution as weighted percentages." } ], "topic_key": "institutional" }, { "slug": "ifish-tilapia-laos-nov-2021", "source_label": "iFishIENCi (Nov 2021) — Tilapia Laos feed-system panel", "source_url": "https:\/\/zenodo.org\/records\/10842711", "license": "CC-BY 4.0", "fielded_at": "2021-11-01", "methodology": "survey", "n_respondents": 15, "disclosure": { "license": "CC-BY 4.0. Attribution: Rost, A. et al., ttz Bremerhaven (2024), iFishIENCi D3.6 sensory analysis. https:\/\/zenodo.org\/records\/10842711", "weights": "Unweighted hedonic. 9-point discrete scale per ASTM\/ISO 11036. Single rating per product per panellist per attribute. Only general impression is paired here.", "screener": "Consumer\/sensory panel recruited by LARReC (Living Aquatic Resources Centre) in Laos for the iFishIENCi project D3.6, second wave. Specific inclusion criteria not in the public spreadsheet; see project deliverable PDF at https:\/\/ifishienci.eu\/wp-content\/uploads\/2024\/01\/iFishIENCi_D3.6.pdf.", "fieldwork": "Laos (LARReC). Fieldwork month: 2021-11 (from filename _11.2021). Second wave of the same panel; adds a Bioactive arm.", "coding_rules": "Hedonic survey by trained consumer panel, not FGI. No moderator guide. Carryover order and serving were balanced per the iFishIENCi protocol.", "likert_labels": "9-point hedonic per ASTM\/ISO 11036 standard (Peryam–Pilgrim 1957). 1 = \"dislike extremely\". 5 = \"neither like nor dislike\". 9 = \"like extremely\". Labels not embedded in the spreadsheet; standard sensory-science instrument cited.", "question_text": "On the 9-point hedonic scale, what is your general impression of this tilapia sample? (Peryam–Pilgrim 1957; ASTM E2454 \/ ISO 11036) — single rating per panellist per product." }, "questions": [ { "question_template_slot": "hedonic_tilapia_laos_nov21_control", "prompt_text": "Overall, how much do you like this tilapia? (Control — standard commercial feed)", "ground_truth_mean": 4.067, "ground_truth_ci_lower": 3.825, "ground_truth_ci_upper": 4.309, "ground_truth_sd": 0.478, "ground_truth_skewness": -0.271, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 0, "5": 1, "6": 2, "7": 7, "8": 4, "9": 1 }, "n_respondents": 15, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 7.133, SD 0.957. N=15 panel." }, { "question_template_slot": "hedonic_tilapia_laos_nov21_insects", "prompt_text": "Overall, how much do you like this tilapia? (Insects — insect meal partially replacing fishmeal)", "ground_truth_mean": 3.633, "ground_truth_ci_lower": 3.307, "ground_truth_ci_upper": 3.96, "ground_truth_sd": 0.645, "ground_truth_skewness": -0.503, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 2, "5": 3, "6": 1, "7": 7, "8": 2, "9": 0 }, "n_respondents": 15, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.267, SD 1.289." }, { "question_template_slot": "hedonic_tilapia_laos_nov21_algae", "prompt_text": "Overall, how much do you like this tilapia? (Algae — microalgae inclusion in the feed)", "ground_truth_mean": 3.833, "ground_truth_ci_lower": 3.468, "ground_truth_ci_upper": 4.199, "ground_truth_sd": 0.723, "ground_truth_skewness": -0.862, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 0, "2": 0, "3": 1, "4": 0, "5": 2, "6": 2, "7": 6, "8": 3, "9": 1 }, "n_respondents": 15, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.667, SD 1.445." }, { "question_template_slot": "hedonic_tilapia_laos_nov21_bioactive", "prompt_text": "Overall, how much do you like this tilapia? (Bioactive — bioactive additives in the feed)", "ground_truth_mean": 3.6, "ground_truth_ci_lower": 3.305, "ground_truth_ci_upper": 3.895, "ground_truth_sd": 0.583, "ground_truth_skewness": 0.111, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 1, "5": 3, "6": 6, "7": 2, "8": 3, "9": 0 }, "n_respondents": 15, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.200, SD 1.166." } ], "topic_key": "aquaculture-sensory" }, { "slug": "ifish-tilapia-laos-feb-2021", "source_label": "iFishIENCi (Feb 2021) — Tilapia Laos feed-system panel", "source_url": "https:\/\/zenodo.org\/records\/10842711", "license": "CC-BY 4.0", "fielded_at": "2021-02-01", "methodology": "survey", "n_respondents": 14, "disclosure": { "license": "CC-BY 4.0. Attribution: Rost, A. et al., ttz Bremerhaven (2024), iFishIENCi D3.6 sensory analysis. https:\/\/zenodo.org\/records\/10842711", "weights": "Unweighted hedonic. 9-point discrete scale per ASTM\/ISO 11036. Single rating per product per panellist per attribute. Only general impression is paired here.", "screener": "Consumer\/sensory panel recruited by LARReC (and the Living Aquatic Resources Centre) in Laos for the iFishIENCi project D3.6. Specific inclusion criteria not in the public spreadsheet; see project deliverable PDF at https:\/\/ifishienci.eu\/wp-content\/uploads\/2024\/01\/iFishIENCi_D3.6.pdf.", "fieldwork": "Laos (LARReC). Fieldwork month: 2021-02 (from filename _02.2021). EU project iFishIENCi D3.6 sensory analysis of alternative-protein-fed fish.", "coding_rules": "Hedonic survey by trained consumer panel, not FGI. No moderator guide. Carryover order and serving were balanced per the iFishIENCi protocol. This wave has no Bioactive arm.", "likert_labels": "9-point hedonic per ASTM\/ISO 11036 standard (Peryam–Pilgrim 1957). 1 = \"dislike extremely\". 5 = \"neither like nor dislike\". 9 = \"like extremely\". Intermediate anchors are conventional. Labels not embedded in the spreadsheet; standard sensory-science instrument cited.", "question_text": "On the 9-point hedonic scale, what is your general impression of this tilapia sample? (Peryam–Pilgrim 1957; ASTM E2454 \/ ISO 11036) — single rating per panellist per product." }, "questions": [ { "question_template_slot": "hedonic_tilapia_laos_feb21_control", "prompt_text": "Overall, how much do you like this tilapia? (Control — standard commercial feed)", "ground_truth_mean": 3.5, "ground_truth_ci_lower": 3.172, "ground_truth_ci_upper": 3.828, "ground_truth_sd": 0.627, "ground_truth_skewness": 0, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 2, "5": 3, "6": 4, "7": 3, "8": 2, "9": 0 }, "n_respondents": 14, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.000, SD 1.254. N=14 panel." }, { "question_template_slot": "hedonic_tilapia_laos_feb21_insects", "prompt_text": "Overall, how much do you like this tilapia? (Insects — insect meal partially replacing fishmeal)", "ground_truth_mean": 3.893, "ground_truth_ci_lower": 3.577, "ground_truth_ci_upper": 4.209, "ground_truth_sd": 0.603, "ground_truth_skewness": 0.171, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 0, "5": 2, "6": 5, "7": 2, "8": 4, "9": 1 }, "n_respondents": 14, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.786, SD 1.206." }, { "question_template_slot": "hedonic_tilapia_laos_feb21_algae", "prompt_text": "Overall, how much do you like this tilapia? (Algae — microalgae inclusion in the feed)", "ground_truth_mean": 3.893, "ground_truth_ci_lower": 3.668, "ground_truth_ci_upper": 4.118, "ground_truth_sd": 0.43, "ground_truth_skewness": 1.099, "ground_truth_shape": "right-skewed", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 0, "5": 0, "6": 6, "7": 6, "8": 1, "9": 1 }, "n_respondents": 14, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.786, SD 0.860." } ], "topic_key": "aquaculture-sensory" }, { "slug": "ifish-catfish-hungary-2023", "source_label": "iFishIENCi (Jan 2023) — African catfish Hungary panel", "source_url": "https:\/\/zenodo.org\/records\/10842711", "license": "CC-BY 4.0", "fielded_at": "2023-01-01", "methodology": "survey", "n_respondents": 21, "disclosure": { "license": "CC-BY 4.0. Attribution: Rost, A. et al., ttz Bremerhaven (2024), iFishIENCi D3.6 sensory analysis. https:\/\/zenodo.org\/records\/10842711", "weights": "Unweighted hedonic. 9-point discrete scale per ASTM\/ISO 11036. Single rating per product per panellist per attribute. Source spreadsheet aggregates per-attribute histograms only; raw per-panellist scores are not published. The paired distributions here are reconstructions from those histograms.", "screener": "Consumer\/sensory panel recruited by HAKI (Research Institute for Fisheries and Aquaculture) in Hungary for the iFishIENCi project D3.6 catfish wave. Specific inclusion criteria not in the public spreadsheet; see project deliverable PDF at https:\/\/ifishienci.eu\/wp-content\/uploads\/2024\/01\/iFishIENCi_D3.6.pdf.", "fieldwork": "Hungary (HAKI Research Institute for Fisheries and Aquaculture). Fieldwork month: 2023-01 (from filename _01_2023). Wave compares Control feed vs Algae-supplemented feed; no Insects or Bioactive arm.", "coding_rules": "Hedonic survey by consumer panel, not FGI. No moderator guide. The source spreadsheet uses a sample-per-sheet design with attribute-block questionnaires; the distributions here are reconstructed from those aggregated histograms rather than from raw per-panellist scores.", "likert_labels": "9-point hedonic per ASTM\/ISO 11036 standard (Peryam–Pilgrim 1957). 1 = \"dislike extremely\". 5 = \"neither like nor dislike\". 9 = \"like extremely\". Intermediate anchors are conventional. Labels not embedded in the source workbook; standard sensory-science instrument cited.", "question_text": "What is your overall impression of this fish fillet? (rows 81-83 of the source workbook) — 9-point hedonic scale per ASTM\/ISO 11036, single rating per panellist per product." }, "questions": [ { "question_template_slot": "hedonic_catfish_hungary_2023_control", "prompt_text": "Overall, how much do you like this African catfish fillet? (Control — standard commercial feed)", "ground_truth_mean": 3.595, "ground_truth_ci_lower": 3.175, "ground_truth_ci_upper": 4.016, "ground_truth_sd": 0.983, "ground_truth_skewness": -0.153, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 0, "2": 0, "3": 2, "4": 4, "5": 3, "6": 0, "7": 6, "8": 3, "9": 3 }, "n_respondents": 21, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.190, SD 1.967. Distribution reconstructed from the source questionnaire histogram." }, { "question_template_slot": "hedonic_catfish_hungary_2023_algae", "prompt_text": "Overall, how much do you like this African catfish fillet? (Algae — microalgae inclusion in the feed)", "ground_truth_mean": 4.095, "ground_truth_ci_lower": 3.818, "ground_truth_ci_upper": 4.372, "ground_truth_sd": 0.648, "ground_truth_skewness": -0.224, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 0, "5": 3, "6": 3, "7": 6, "8": 5, "9": 4 }, "n_respondents": 21, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 7.190, SD 1.295. Distribution reconstructed from the source questionnaire histogram." } ], "topic_key": "aquaculture-sensory" }, { "slug": "ifish-rainbow-trout-2022", "source_label": "iFishIENCi (2022) — Rainbow trout feed-system panel", "source_url": "https:\/\/zenodo.org\/records\/10842711", "license": "CC-BY 4.0", "fielded_at": "2022-08-01", "methodology": "survey", "n_respondents": 21, "disclosure": { "license": "CC-BY 4.0. Attribution: Rost, A. et al., ttz Bremerhaven (2022), iFishIENCi D3.6 sensory analysis. https:\/\/zenodo.org\/records\/10842711", "weights": "Unweighted hedonic. 9-point discrete scale per ASTM\/ISO 11036. Single rating per product per panellist per attribute (appearance, odour, taste, mouthfeel, general impression). Only general impression is paired here.", "screener": "Trained consumer panel recruited by ttz Bremerhaven (DE) for the iFishIENCi project D3.6 sensory assessment. Specific inclusion criteria not in the public spreadsheet; see project deliverable PDF at https:\/\/ifishienci.eu\/wp-content\/uploads\/2024\/01\/iFishIENCi_D3.6.pdf.", "fieldwork": "Bremerhaven, Germany (ttz). Fieldwork month: 2022-08 (from filename _08.2022). EU project iFishIENCi D3.6 sensory analysis of alternative-protein-fed fish.", "coding_rules": "Hedonic survey by trained consumer panel, not FGI. No moderator guide. Carryover order and serving were balanced by ttz Bremerhaven per the iFishIENCi protocol.", "likert_labels": "9-point hedonic per ASTM\/ISO 11036 standard (Peryam–Pilgrim 1957). 1 = \"dislike extremely\". 5 = \"neither like nor dislike\". 9 = \"like extremely\". Intermediate anchors are conventional (dislike very much \/ moderately \/ slightly; like slightly \/ moderately \/ very much). Labels not in the source spreadsheet; standard sensory-science instrument cited.", "question_text": "On the 9-point hedonic scale, what is your general impression of this rainbow trout sample? (Peryam–Pilgrim 1957; ASTM E2454 \/ ISO 11036) — single rating per panellist per product." }, "questions": [ { "question_template_slot": "hedonic_trout_control", "prompt_text": "Overall, how much do you like this rainbow trout? (Control — standard commercial feed)", "ground_truth_mean": 4, "ground_truth_ci_lower": 3.617, "ground_truth_ci_upper": 4.383, "ground_truth_sd": 0.873, "ground_truth_skewness": -1.128, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 0, "2": 1, "3": 0, "4": 1, "5": 1, "6": 4, "7": 4, "8": 6, "9": 4 }, "n_respondents": 21, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 7.000, SD 1.789. Trained sensory panel N=21." }, { "question_template_slot": "hedonic_trout_candida", "prompt_text": "Overall, how much do you like this rainbow trout? (Candida — partial protein replaced with Candida utilis yeast)", "ground_truth_mean": 3.762, "ground_truth_ci_lower": 3.394, "ground_truth_ci_upper": 4.13, "ground_truth_sd": 0.84, "ground_truth_skewness": -0.735, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 0, "2": 1, "3": 0, "4": 1, "5": 3, "6": 5, "7": 4, "8": 5, "9": 2 }, "n_respondents": 21, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.524, SD 1.721." }, { "question_template_slot": "hedonic_trout_nanno_high", "prompt_text": "Overall, how much do you like this rainbow trout? (Nanno high — high inclusion of Nannochloropsis microalgae)", "ground_truth_mean": 3.738, "ground_truth_ci_lower": 3.396, "ground_truth_ci_upper": 4.08, "ground_truth_sd": 0.781, "ground_truth_skewness": -0.593, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 0, "2": 0, "3": 1, "4": 2, "5": 3, "6": 2, "7": 7, "8": 5, "9": 1 }, "n_respondents": 21, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.476, SD 1.601." }, { "question_template_slot": "hedonic_trout_nanno_low", "prompt_text": "Overall, how much do you like this rainbow trout? (Nanno Low — low inclusion of Nannochloropsis microalgae)", "ground_truth_mean": 3.643, "ground_truth_ci_lower": 3.371, "ground_truth_ci_upper": 3.915, "ground_truth_sd": 0.62, "ground_truth_skewness": 0.345, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 0, "2": 0, "3": 0, "4": 1, "5": 5, "6": 7, "7": 4, "8": 3, "9": 1 }, "n_respondents": 21, "weighting_notes": "Unweighted hedonic, general impression attribute. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.286, SD 1.271." } ], "topic_key": "aquaculture-sensory" }, { "slug": "visalli-guacamole-2022", "source_label": "Visalli et al. (2022) — Guacamole panel", "source_url": "https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "license": "CC-BY 4.0", "fielded_at": "2022-10-03", "methodology": "survey", "n_respondents": 436, "disclosure": { "license": "CC-BY 4.0. Attribution: Visalli M. et al. (2022). https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "weights": "Unweighted hedonic. 9-point discrete scale, single rating per product per consumer. Anchor labels taken from questionnaire.pdf p.18 — only end-points (1 and 9) are named.", "screener": "Recruited by gender, age, and guacamole consumption frequency. Excluded: allergy, restrictive diet, vulnerable persons, pregnant women. Source: Visalli et al. (2022), PMC9679663.", "fieldwork": "Dijon and vicinity, France. Specific collection dates not published in PMC9679663. Mendeley release: 2022-10-03.", "coding_rules": "Hedonic survey, not FGI. No moderator guide. The temporal methods (TDS, TCATA, AEF, FC-AEF) in the same paper are out of scope for this paired comparison.", "likert_labels": "9-point discrete checkbox scale, end-anchored only. Anchor 1 = \"I did not like it at all\". Anchor 9 = \"I liked it very much\". Points 2-8 unlabelled (equal-interval assumption).", "question_text": "On a scale of 1 to 9, how do you like this guacamole? — single hedonic rating per guacamole per consumer. Source: questionnaire.pdf p.18 (Mendeley fshtbhffth\/1). Screen [7] reused for guacamole per q.txt:140-143 (\"Same as screens 4 to 12 with guacamole\")." }, "questions": [ { "question_template_slot": "hedonic_g1_avocado_92_fat_16", "prompt_text": "How much do you like this guacamole? (G1 — 92% avocado, 16 g fat)", "ground_truth_mean": 3.127, "ground_truth_ci_lower": 3.018, "ground_truth_ci_upper": 3.237, "ground_truth_sd": 1.163, "ground_truth_skewness": -0.263, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 31, "2": 40, "3": 45, "4": 53, "5": 39, "6": 64, "7": 83, "8": 56, "9": 25 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 5.255, SD 2.327. G1_rep (carryover repeat) excluded from this row." }, { "question_template_slot": "hedonic_g2_avocado_13_fat_95", "prompt_text": "How much do you like this guacamole? (G2 — 13% avocado, 9.5 g fat)", "ground_truth_mean": 3.073, "ground_truth_ci_lower": 2.956, "ground_truth_ci_upper": 3.19, "ground_truth_sd": 1.247, "ground_truth_skewness": -0.14, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1": 42, "2": 42, "3": 51, "4": 44, "5": 43, "6": 55, "7": 67, "8": 53, "9": 39 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 5.147, SD 2.494." }, { "question_template_slot": "hedonic_g3_avocado_90_fat_146", "prompt_text": "How much do you like this guacamole? (G3 — 90% avocado, 14.6 g fat)", "ground_truth_mean": 2.421, "ground_truth_ci_lower": 2.319, "ground_truth_ci_upper": 2.523, "ground_truth_sd": 1.084, "ground_truth_skewness": 0.405, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 78, "2": 62, "3": 73, "4": 61, "5": 59, "6": 41, "7": 33, "8": 23, "9": 6 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 3.842, SD 2.168." }, { "question_template_slot": "hedonic_g4_avocado_95_fat_18", "prompt_text": "How much do you like this guacamole? (G4 — 95% avocado, 18 g fat)", "ground_truth_mean": 3.509, "ground_truth_ci_lower": 3.408, "ground_truth_ci_upper": 3.611, "ground_truth_sd": 1.083, "ground_truth_skewness": -0.533, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 15, "2": 18, "3": 36, "4": 39, "5": 47, "6": 72, "7": 84, "8": 71, "9": 54 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.018, SD 2.165." } ], "topic_key": "hedonic-cpg" }, { "slug": "visalli-crisps-2022", "source_label": "Visalli et al. (2022) — Crisps panel", "source_url": "https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "license": "CC-BY 4.0", "fielded_at": "2022-10-03", "methodology": "survey", "n_respondents": 427, "disclosure": { "license": "CC-BY 4.0. Attribution: Visalli M. et al. (2022). https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "weights": "Unweighted hedonic. 9-point discrete scale, single rating per product per consumer. Anchor labels taken from questionnaire.pdf p.18 — only end-points (1 and 9) are named.", "screener": "Recruited by gender, age, and crisps consumption frequency. Excluded: allergy, restrictive diet, vulnerable persons, pregnant women. Source: Visalli et al. (2022), PMC9679663.", "fieldwork": "Dijon and vicinity, France. Specific collection dates not published in PMC9679663. Mendeley release: 2022-10-03.", "coding_rules": "Hedonic survey, not FGI. No moderator guide. The temporal methods (TDS, TCATA, AEF, FC-AEF) in the same paper are out of scope for this paired comparison.", "likert_labels": "9-point discrete checkbox scale, end-anchored only. Anchor 1 = \"I did not like it at all\". Anchor 9 = \"I liked it very much\". Points 2-8 unlabelled (equal-interval assumption).", "question_text": "On a scale of 1 to 9, how do you like this crisp? — single hedonic rating per crisp per consumer. Source: questionnaire.pdf p.18 (Mendeley fshtbhffth\/1). Screen [7] reused for crisps per q.txt:152 (\"Same as screens 4 to 12 with crisps\")." }, "questions": [ { "question_template_slot": "hedonic_c1_fat_34_salt_1_3", "prompt_text": "How much do you like this crisp? (C1 — 34 g fat, 1.3 g salt)", "ground_truth_mean": 3.625, "ground_truth_ci_lower": 3.541, "ground_truth_ci_upper": 3.71, "ground_truth_sd": 0.893, "ground_truth_skewness": -0.586, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 2, "2": 9, "3": 27, "4": 49, "5": 39, "6": 73, "7": 115, "8": 83, "9": 30 }, "n_respondents": 427, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 6.251, SD 1.786. C1_rep (carryover repeat) excluded from this row." }, { "question_template_slot": "hedonic_c2_fat_239_salt_152", "prompt_text": "How much do you like this crisp? (C2 — 23.9 g fat, 1.52 g salt)", "ground_truth_mean": 3.27, "ground_truth_ci_lower": 3.174, "ground_truth_ci_upper": 3.367, "ground_truth_sd": 1.013, "ground_truth_skewness": -0.292, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 8, "2": 30, "3": 44, "4": 51, "5": 64, "6": 67, "7": 83, "8": 61, "9": 19 }, "n_respondents": 427, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 5.541, SD 2.026." }, { "question_template_slot": "hedonic_c3_fat_29_salt_1_sea", "prompt_text": "How much do you like this crisp? (C3 — 29 g fat, 1 g sea salt)", "ground_truth_mean": 2.957, "ground_truth_ci_lower": 2.844, "ground_truth_ci_upper": 3.07, "ground_truth_sd": 1.19, "ground_truth_skewness": 0.087, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 27, "2": 58, "3": 56, "4": 64, "5": 43, "6": 46, "7": 52, "8": 53, "9": 28 }, "n_respondents": 427, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 4.913, SD 2.380." }, { "question_template_slot": "hedonic_c4_fat_34_salt_010", "prompt_text": "How much do you like this crisp? (C4 — 34 g fat, 0.10 g salt)", "ground_truth_mean": 1.974, "ground_truth_ci_lower": 1.878, "ground_truth_ci_upper": 2.071, "ground_truth_sd": 1.019, "ground_truth_skewness": 1.105, "ground_truth_shape": "right-skewed", "ground_truth_distribution": { "1": 133, "2": 89, "3": 72, "4": 50, "5": 27, "6": 20, "7": 19, "8": 9, "9": 8 }, "n_respondents": 427, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 2.948, SD 2.039." } ], "topic_key": "hedonic-cpg" }, { "slug": "visalli-icetea-2022", "source_label": "Visalli et al. (2022) — Iced tea panel", "source_url": "https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "license": "CC-BY 4.0", "fielded_at": "2022-10-03", "methodology": "survey", "n_respondents": 436, "disclosure": { "license": "CC-BY 4.0. Attribution: Visalli M. et al. (2022). https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "weights": "Unweighted hedonic. 9-point discrete scale, single rating per product per consumer. Anchor labels taken from questionnaire.pdf p.18 — only end-points (1 and 9) are named.", "screener": "Recruited by gender, age, and ice-tea consumption frequency. Excluded: allergy, restrictive diet, vulnerable persons, pregnant women. Source: Visalli et al. (2022), PMC9679663.", "fieldwork": "Dijon and vicinity, France. Specific collection dates not published in PMC9679663. Mendeley release: 2022-10-03.", "coding_rules": "Hedonic survey, not FGI. No moderator guide. The temporal methods (TDS, TCATA, AEF, FC-AEF) in the same paper are out of scope for this paired comparison.", "likert_labels": "9-point discrete checkbox scale, end-anchored only. Anchor 1 = \"I did not like it at all\". Anchor 9 = \"I liked it very much\". Points 2-8 unlabelled (equal-interval assumption).", "question_text": "On a scale of 1 to 9, how do you like this iced tea? — single hedonic rating per ice tea per consumer. Source: questionnaire.pdf p.18 (Mendeley fshtbhffth\/1). Screen [7] reused for ice tea per q.txt:99 (\"Screens 4 to 8 repeated for all ice tea samples\")." }, "questions": [ { "question_template_slot": "hedonic_it1_blacktea_peach_4_7g", "prompt_text": "How much do you like this iced tea? (IT1 — black tea, white peach, 4.7 g sugar)", "ground_truth_mean": 3.461, "ground_truth_ci_lower": 3.376, "ground_truth_ci_upper": 3.546, "ground_truth_sd": 0.9, "ground_truth_skewness": -0.659, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 6, "2": 17, "3": 34, "4": 30, "5": 60, "6": 98, "7": 112, "8": 63, "9": 16 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 5.922, SD 1.803. CI95 by normal approx (n=436)." }, { "question_template_slot": "hedonic_it2_whitetea_peach_rosemary_4_5g", "prompt_text": "How much do you like this iced tea? (IT2 — white tea, peach and rosemary, 4.5 g sugar)", "ground_truth_mean": 2.436, "ground_truth_ci_lower": 2.342, "ground_truth_ci_upper": 2.53, "ground_truth_sd": 1.001, "ground_truth_skewness": 0.498, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 52, "2": 65, "3": 100, "4": 68, "5": 56, "6": 41, "7": 30, "8": 18, "9": 6 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 3.872, SD 2.005." }, { "question_template_slot": "hedonic_it3_blacktea_peach_sweeteners_4_3g", "prompt_text": "How much do you like this iced tea? (IT3 — black tea, peach, sweeteners, 4.3 g sugar)", "ground_truth_mean": 2.987, "ground_truth_ci_lower": 2.878, "ground_truth_ci_upper": 3.096, "ground_truth_sd": 1.16, "ground_truth_skewness": -0.126, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 35, "2": 50, "3": 49, "4": 46, "5": 62, "6": 56, "7": 62, "8": 61, "9": 15 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 4.975, SD 2.322. IT3_rep (carryover repeat) excluded from this row." }, { "question_template_slot": "hedonic_it4_blacktea_peach_sweeteners_0g", "prompt_text": "How much do you like this iced tea? (IT4 — black tea, peach, sweeteners only, 0 g sugar)", "ground_truth_mean": 2.548, "ground_truth_ci_lower": 2.431, "ground_truth_ci_upper": 2.665, "ground_truth_sd": 1.247, "ground_truth_skewness": 0.344, "ground_truth_shape": "multimodal-symmetric", "ground_truth_distribution": { "1": 85, "2": 68, "3": 55, "4": 54, "5": 30, "6": 41, "7": 52, "8": 35, "9": 16 }, "n_respondents": 436, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 4.096, SD 2.496." } ], "topic_key": "hedonic-cpg" }, { "slug": "visalli-chocolate-2022", "source_label": "Visalli et al. (2022) — Dark chocolate panel", "source_url": "https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "license": "CC-BY 4.0", "fielded_at": "2022-10-03", "methodology": "survey", "n_respondents": 424, "disclosure": { "license": "CC-BY 4.0. Attribution: Visalli M. et al. (2022). https:\/\/data.mendeley.com\/datasets\/fshtbhffth\/1", "weights": "Unweighted hedonic. 9-point discrete scale, single rating per product per consumer. Anchor labels not in the paper body — pending .xlsx codebook inspection.", "screener": "Recruited by gender, age, and dark-chocolate consumption frequency. Excluded: allergy, restrictive diet, vulnerable persons, pregnant women. Source: Visalli et al. (2022), PMC9679663.", "fieldwork": "Dijon and vicinity, France. Specific collection dates not published in PMC9679663. Mendeley release: 2022-10-03.", "coding_rules": "Hedonic survey, not FGI. No moderator guide. The temporal methods (TDS, TCATA, AEF, FC-AEF) in the same paper are out of scope for this paired comparison.", "likert_labels": "9-point discrete checkbox scale, end-anchored only. Anchor 1 = \"I did not like it at all\". Anchor 9 = \"I liked it very much\". Points 2-8 unlabelled (equal-interval assumption).", "question_text": "On a scale of 1 to 9, how do you like this chocolate? — single hedonic rating per chocolate per consumer. Source: questionnaire.pdf p.18 (Mendeley fshtbhffth\/1). Screen [7] reused for chocolate per q.txt:162-163 (\"Same as screens 4 to 12 with chocolate\")." }, "questions": [ { "question_template_slot": "hedonic_ch1_madagascar_85", "prompt_text": "How much do you like this dark chocolate? (CH1 — 85% cocoa, Madagascar)", "ground_truth_mean": 2.846, "ground_truth_ci_lower": 2.736, "ground_truth_ci_upper": 2.955, "ground_truth_sd": 1.146, "ground_truth_skewness": -0.001, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 43, "2": 49, "3": 57, "4": 47, "5": 52, "6": 72, "7": 51, "8": 37, "9": 16 }, "n_respondents": 424, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 4.691, SD 2.295. CI95 by normal approx (n=424)." }, { "question_template_slot": "hedonic_ch2_equator_80", "prompt_text": "How much do you like this dark chocolate? (CH2 — 80% cocoa, Equator)", "ground_truth_mean": 3.427, "ground_truth_ci_lower": 3.332, "ground_truth_ci_upper": 3.522, "ground_truth_sd": 0.999, "ground_truth_skewness": -0.547, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 12, "2": 19, "3": 29, "4": 45, "5": 61, "6": 61, "7": 109, "8": 61, "9": 27 }, "n_respondents": 424, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 5.854, SD 2.001." }, { "question_template_slot": "hedonic_ch3_peru_70", "prompt_text": "How much do you like this dark chocolate? (CH3 — 70% cocoa, Peru)", "ground_truth_mean": 3.104, "ground_truth_ci_lower": 2.996, "ground_truth_ci_upper": 3.212, "ground_truth_sd": 1.135, "ground_truth_skewness": -0.309, "ground_truth_shape": "unimodal", "ground_truth_distribution": { "1": 33, "2": 36, "3": 41, "4": 46, "5": 45, "6": 77, "7": 81, "8": 43, "9": 22 }, "n_respondents": 424, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 5.208, SD 2.272." }, { "question_template_slot": "hedonic_ch4_civ_74", "prompt_text": "How much do you like this dark chocolate? (CH4 — 74% cocoa, Côte d'Ivoire)", "ground_truth_mean": 3.419, "ground_truth_ci_lower": 3.317, "ground_truth_ci_upper": 3.52, "ground_truth_sd": 1.068, "ground_truth_skewness": -0.613, "ground_truth_shape": "left-skewed", "ground_truth_distribution": { "1": 22, "2": 15, "3": 31, "4": 45, "5": 46, "6": 66, "7": 98, "8": 71, "9": 30 }, "n_respondents": 424, "weighting_notes": "Unweighted hedonic. 1-9 → 1-5 linear rescale 1 + (x-1)*4\/8. Original 1-9 mean 5.837, SD 2.139. CH4_rep (repeat) excluded from this row." } ], "topic_key": "hedonic-cpg" } ] }