{"id":"W1514964987","doi":"10.1348/000711010x501671","title":"Power comparisons of significance tests of location using scores, ranks, and modular ranks","year":2010,"lang":"en","type":"article","venue":"British Journal of Mathematical and Statistical Psychology","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Wilcoxon signed-rank test; Mathematics; Statistics; Type I and type II errors; Rank (graph theory); Mann–Whitney U test; Nominal level; Statistical power; Nonparametric statistics; Test (biology); Statistical hypothesis testing; Sign test; Sample size determination; Power (physics); Modular design; Parametric statistics; Combinatorics; Computer science; Confidence interval","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":[],"consensus_categories":[],"category_scores_codex":[0.07325441,0.001421702,0.001939069,0.00265998,0.0009256838,0.002781155,0.002842284,0.002192735,0.00801883],"category_scores_gemma":[0.4731344,0.0006471993,0.002289969,0.002306656,0.006877111,0.006457907,0.003428765,0.003324642,0.001025215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073145,"about_ca_system_score_gemma":0.001547223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004280585,"about_ca_topic_score_gemma":0.0003089581,"domain_scores_codex":[0.9079748,0.06065034,0.003923638,0.01030202,0.01592546,0.001223714],"domain_scores_gemma":[0.4885317,0.444768,0.01555827,0.04059855,0.009090019,0.001453474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009990929,0.0008045227,0.0617395,0.003464819,0.005174276,0.001307732,0.004404162,0.04756616,0.02491621,0.3486947,0.009577051,0.4823598],"study_design_scores_gemma":[0.00187616,0.01097879,0.08973908,0.0008828154,0.00167779,0.001744597,0.001880851,0.175756,0.04692356,0.6504841,0.01756868,0.0004875097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1348859,0.0007797937,0.8474101,0.0004324427,0.0006104093,0.001355566,0.0006622711,0.0005939865,0.01326944],"genre_scores_gemma":[0.7974064,0.0003083994,0.1945601,0.0002942746,0.0002752293,0.004641641,0.0004771788,0.0005035006,0.001533327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07325441,"threshold_uncertainty_score":0.3874109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08637119769436002,"score_gpt":0.432115604703706,"score_spread":0.3457444070093459,"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."}}