{
  "id": "EN07",
  "study_count": 1,
  "status": "qualified_descriptive_analysis_reviewed_main_estimate",
  "language_origin": "en",
  "translation_languages": [
    "en",
    "pt",
    "es",
    "fr",
    "de",
    "it"
  ],
  "title": "Novels and short stories among U.S. book readers, 2017–2022",
  "question": "Among adults reporting past-year book reading, what proportion also reported novels or short stories, by age and education?",
  "population": "U.S. civilian noninstitutionalized household adults age18+; CPS SPPA Core1",
  "estimand": "P(Q15A=1 | Q14A=1 and Q15A in {1,2}); supplement-weighted complete cases",
  "primary": {
    "2017": {
      "pct": 72.4600337725148,
      "n_den": 4813,
      "n_num": 3561,
      "ci95": [
        70.66792944271191,
        74.2521381023177
      ]
    },
    "2022": {
      "pct": 69.32776908079515,
      "n_den": 3336,
      "n_num": 2372,
      "ci95": [
        67.13830319581795,
        71.51723496577235
      ]
    },
    "change_pp": -3.132264691719655,
    "change_ci95": [
      -5.961646035826044,
      -0.3028833476132653
    ]
  },
  "mandatory_adjacent_caveat": "Proxy rules and questionnaire clarification changed. Self-response-only change was -2.03pp with95% CI -5.06 to+1.01, including zero. Do not infer true behavioral decline or a causal change.",
  "nonnesting": {
    "2017_fiction_among_nonbook_pct": 7.924549756135313,
    "2022_fiction_among_nonbook_pct": 7.648622816277477,
    "explanation": "Fiction can be in magazines/newspapers/online; separate respondent intersection is required."
  },
  "forbidden_claims": [
    "Untapped commercial audience",
    "Romance readership or purchase intent",
    "Fiction marginal divided by book marginal",
    "Identical questionnaire/proxy design across years",
    "Causal pandemic/education/age effect",
    "Self-only statistically significant decline",
    "2026 prevalence",
    "One study per translated edition or subgroup"
  ],
  "public_files_policy": "Only aggregates, scripts, methods and source URLs/hashes; no respondent-level source data or replicate weights in site repository.",
  "reproduction": "Run download.py then analyze.py; independent.py reproduces the main estimates and self/proxy sensitivity. Dependencies Python,pandas,NumPy. Downloads go to local script directory, never automatically deploy fetched microdata.",
  "citation": "Original analysis of U.S. Census Bureau / National Endowment for the Arts, 2017 and2022 Survey of Public Participation in the Arts; files accessed2026-10-30.",
  "standardization_limit": "One variable at a time; estimated2017 reference treated fixed; descriptive only, no adjusted-significance claim.",
  "download_metadata": {
    "results.csv": "130 aggregate rows: year, dimension,group,metric,numerator/denominator sample sizes,weighted percent,replicate SE,95%CI",
    "changes.csv": "65 aggregate cross-wave contrasts",
    "missingness_bounds.csv": "Two rows; unknown-fiction worst-case bounds",
    "standardized.csv": "Four rows; separate age/education standardization",
    "independent-results.json": "Aggregate independent raw-file validation and self/proxy sensitivity"
  }
}