{"id":"W2162923130","doi":"","title":"Investigating the robustness of the nonparametric Levene test with more than two groups","year":2014,"lang":"en","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"F-test of equality of variances; Nonparametric statistics; Levene's test; Statistics; Analysis of variance; Sample size determination; Mathematics; Type I and type II errors; Variance (accounting); Statistical hypothesis testing; Homogeneity (statistics); Population; One-way analysis of variance; Skewness; Statistical power; Econometrics; Demography; Test statistic","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":[0.1865046,0.001173983,0.002218672,0.002829097,0.002835696,0.00475799,0.003810673,0.00284603,0.008509359],"category_scores_gemma":[0.5400555,0.0006760693,0.003707878,0.002791366,0.006608089,0.00560135,0.004236145,0.004478241,0.0009890434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892502,"about_ca_system_score_gemma":0.005332931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003315461,"about_ca_topic_score_gemma":0.00203848,"domain_scores_codex":[0.8304197,0.1219454,0.007995021,0.01387509,0.02365191,0.002112881],"domain_scores_gemma":[0.3054366,0.6266121,0.02400256,0.0302476,0.01247734,0.001223772],"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":[0.008018841,0.001169761,0.2314933,0.003030526,0.009417181,0.002595907,0.006623912,0.06732833,0.005135726,0.2002725,0.01579382,0.4491202],"study_design_scores_gemma":[0.0017092,0.01106249,0.1485917,0.002700317,0.003137251,0.004181266,0.00625657,0.3971042,0.0219628,0.3416573,0.06075825,0.0008785925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1857138,0.002503964,0.7817362,0.003971412,0.00137074,0.002512032,0.001285579,0.0008441175,0.02006214],"genre_scores_gemma":[0.7824017,0.0004772671,0.2088625,0.001644889,0.000315856,0.003186986,0.0007652309,0.0002082903,0.002137356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1865046,"threshold_uncertainty_score":0.9863422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1316483213867517,"score_gpt":0.3790578113196522,"score_spread":0.2474094899329005,"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."}}