{"id":"W2062055237","doi":"10.1177/00131640021970871","title":"Type I Error Rate Comparisons of Post Hoc Procedures for I j Chi-Square Tables","year":2000,"lang":"en","type":"article","venue":"Educational and Psychological Measurement","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":444,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Post hoc; Post-hoc analysis; Statistics; Pairwise comparison; Contingency table; Type I and type II errors; Homogeneity (statistics); Mathematics; Chi-square test; Null hypothesis; Monte Carlo method; Econometrics; Medicine; Dentistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.198452,0.003537812,0.005202488,0.007497001,0.002886557,0.004447508,0.006298112,0.004805256,0.02329944],"category_scores_gemma":[0.6248609,0.002307134,0.006165245,0.005827657,0.006466301,0.004888453,0.004396603,0.01080059,0.003782626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002973573,"about_ca_system_score_gemma":0.003317157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009747614,"about_ca_topic_score_gemma":0.001322866,"domain_scores_codex":[0.6436089,0.2179832,0.03626953,0.03458102,0.06303941,0.004517992],"domain_scores_gemma":[0.2907483,0.5869867,0.0220949,0.06578185,0.03273215,0.001656107],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03317827,0.005548229,0.03421296,0.009792011,0.01189895,0.002047775,0.01676309,0.02021973,0.01936716,0.1719225,0.08337733,0.5916721],"study_design_scores_gemma":[0.006713761,0.04278775,0.1057747,0.0059768,0.00848917,0.003053154,0.006532361,0.2107076,0.1336013,0.316906,0.1570494,0.002408186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04381328,0.0008301322,0.909312,0.0004903566,0.006088754,0.02264355,0.002541358,0.003681977,0.01059863],"genre_scores_gemma":[0.1622379,0.0003747135,0.7718071,0.0009286735,0.0005666726,0.05494459,0.00106751,0.003327605,0.004745311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.801548,"threshold_uncertainty_score":0.9884514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4095890100599183,"score_gpt":0.4883884670827446,"score_spread":0.07879945702282637,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}