{"id":"W2171530386","doi":"10.1348/000711000159286","title":"Testing treatment effects in repeated measures designs: Trimmed means and bootstrapping","year":2000,"lang":"en","type":"article","venue":"British Journal of Mathematical and Statistical Psychology","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health; Health Canada; University of Manitoba","funders":"","keywords":"Estimator; Type I and type II errors; Statistics; Mathematics; Covariance; Sphericity; Bootstrapping (finance); Normality; Statistical hypothesis testing; Repeated measures design; Econometrics","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":[0.0006072756,0.0001621695,0.0005299986,0.00009257947,0.00007381834,0.00009916127,0.0002023597,0.00009610298,0.00002719651],"category_scores_gemma":[0.001750879,0.0001455186,0.0000313051,0.000160981,0.0002289701,0.0001653924,0.00002879212,0.0002757021,0.000002988413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003259136,"about_ca_system_score_gemma":0.00002794826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001480979,"about_ca_topic_score_gemma":0.000004158721,"domain_scores_codex":[0.9981323,0.0002859666,0.0007281924,0.0003203642,0.0002115368,0.0003216456],"domain_scores_gemma":[0.9970528,0.002385775,0.0001082263,0.0001380757,0.00008385209,0.0002311999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000546779,0.0002692005,0.00005182814,0.00005310395,0.00002168578,0.001882391,0.0001335605,0.00001524371,0.0003416011,0.05120581,0.00008850788,0.9458824],"study_design_scores_gemma":[0.001593443,0.001301531,0.009187208,0.0005236024,0.00002864724,0.007668755,0.000008259784,0.03312875,0.00004971863,0.9462198,0.00008932601,0.0002009478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02150683,0.0006962483,0.9765844,0.0002500501,0.00002676458,0.0001752002,0.000006639762,0.00004636736,0.0007075058],"genre_scores_gemma":[0.3601481,0.0002920409,0.6393544,0.0001571998,0.00001804214,0.000008641475,4.382453e-7,0.000009039732,0.00001214118],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9456815,"threshold_uncertainty_score":0.5934078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06834616108167536,"score_gpt":0.3423298604087666,"score_spread":0.2739836993270913,"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."}}