{"id":"W1572657933","doi":"10.1111/j.2044-8317.2011.02014.x","title":"Effect of non‐normality on test statistics for one‐way independent groups designs","year":2011,"lang":"en","type":"article","venue":"British Journal of Mathematical and Statistical Psychology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; York University","funders":"","keywords":"Statistics; Normality; Estimator; Truncated mean; Type I and type II errors; Mathematics; Test statistic; Nominal level; Parametric statistics; Statistic; Statistical hypothesis testing; Normal distribution; Variance (accounting); Econometrics; Nonparametric statistics; Asymptotic distribution; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4830267,0.002197025,0.004558305,0.003432615,0.002715116,0.005534159,0.005284406,0.004633602,0.009696848],"category_scores_gemma":[0.813529,0.001845314,0.004216443,0.00601883,0.01311383,0.00875107,0.004946493,0.01120761,0.002046253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005789003,"about_ca_system_score_gemma":0.006432535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383189,"about_ca_topic_score_gemma":0.001625097,"domain_scores_codex":[0.3372015,0.5184656,0.0409755,0.02576771,0.07453962,0.003050179],"domain_scores_gemma":[0.04625503,0.9011414,0.01518687,0.02574318,0.01085481,0.0008187175],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01873496,0.002207909,0.06634997,0.01090107,0.005695951,0.002637421,0.02103901,0.03323927,0.01548155,0.2144998,0.03032857,0.5788845],"study_design_scores_gemma":[0.00506544,0.02072367,0.1584992,0.008199779,0.003237636,0.003677329,0.004603592,0.2239975,0.08753853,0.3709017,0.1119048,0.001650783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07525624,0.003256333,0.8971581,0.004010779,0.002428608,0.004175516,0.0007378382,0.002042752,0.01093376],"genre_scores_gemma":[0.4255878,0.00099541,0.5546073,0.003622964,0.0005206533,0.01052908,0.0005388531,0.001607127,0.001990883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5169733,"threshold_uncertainty_score":0.6375201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4357774667779384,"score_gpt":0.5329337513487912,"score_spread":0.09715628457085279,"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."}}