{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177035,0.0001601677,0.000909385,0.00007808576,0.00005778163,0.00002030474,0.0001471993,0.0001780671,0.0002265711],"category_scores_gemma":[0.005825731,0.0001466225,0.00005716272,0.0001083598,0.001034123,0.00009112769,0.00004461384,0.0005777927,5.820273e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000549041,"about_ca_system_score_gemma":0.00004302371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000691289,"about_ca_topic_score_gemma":0.000007132178,"domain_scores_codex":[0.9977846,0.0002216368,0.00122304,0.0002239644,0.0003061306,0.0002406486],"domain_scores_gemma":[0.9950657,0.003568798,0.0005480399,0.0001758955,0.0004105026,0.0002310166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000350938,0.0009779972,0.0002225855,0.000888935,0.00009686107,0.0001356558,0.0001957628,0.00001397409,0.0233448,0.9414812,0.000650754,0.03164059],"study_design_scores_gemma":[0.001309426,0.0003970408,0.007582471,0.0003961161,0.0001250411,0.002196559,0.00006160243,0.004025255,0.0002103667,0.9834825,0.0000542931,0.0001592799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2376797,0.0003626106,0.761309,0.0000559775,0.00009764062,0.0001433231,0.00009378497,0.000004754334,0.0002532292],"genre_scores_gemma":[0.501865,0.00005416942,0.4980193,0.00002251825,0.00001941448,0.000001382801,6.761575e-7,0.0000120417,0.000005487409],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2641854,"threshold_uncertainty_score":0.6974366,"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."}}