{"id":"W2952843659","doi":"10.1177/2515245919849434","title":"The Power of Replicated Measures to Increase Statistical Power","year":2019,"lang":"en","type":"article","venue":"Advances in Methods and Practices in Psychological Science","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistical power; Sample size determination; Statistics; Null hypothesis; Representativeness heuristic; Type I and type II errors; Sample (material); Measure (data warehouse); Power (physics); Commit; Statistical hypothesis testing; Mathematics; Correlation; Population; Econometrics; Computer science; Data mining; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3145459,0.0001888834,0.001331803,0.0002942331,0.0001399544,0.0004844708,0.00262747,0.00007137171,0.001757456],"category_scores_gemma":[0.3294665,0.00007403766,0.0001426338,0.004086998,0.0007666561,0.0009421002,0.0003184207,0.000331773,0.000167327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002311128,"about_ca_system_score_gemma":0.00003606312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002147107,"about_ca_topic_score_gemma":0.00003367516,"domain_scores_codex":[0.9726555,0.01692445,0.004586623,0.001807885,0.003554563,0.0004710036],"domain_scores_gemma":[0.9476399,0.04501686,0.003610272,0.002938325,0.0005634237,0.0002311936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002595899,0.0002276923,0.1802027,0.00001153403,0.00001147169,0.000009578965,0.0006280133,0.0001189078,0.004231851,0.08010696,0.0005591257,0.7336326],"study_design_scores_gemma":[0.0002800488,0.0004818878,0.3882214,0.00003484955,0.00001592247,0.00002609632,0.001780397,0.0009555255,0.0001184193,0.1528405,0.4550008,0.0002441909],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7181479,0.006798029,0.1085591,0.003041384,0.0009373602,0.001396961,0.000007772356,0.000006314597,0.1611051],"genre_scores_gemma":[0.7466503,0.0004506411,0.2520837,0.0005537616,0.000005874053,0.00002626493,1.282341e-7,0.000002823302,0.0002265596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7333884,"threshold_uncertainty_score":0.999155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5505241764023473,"score_gpt":0.6993197340519034,"score_spread":0.1487955576495561,"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."}}