{
    "name": "InsightForge benchmark catalogue",
    "generated_at": null,
    "study_count": 1,
    "studies": [
        {
            "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"
        }
    ]
}