{"id":"W1966595022","doi":"10.1016/j.jmpt.2006.08.002","title":"The Presence and Impact of Local Item Dependence on Objective Structured Clinical Examinations Scores and the Potential Use of the Polytomous, Many-Facet Rasch Model","year":2006,"lang":"en","type":"article","venue":"Journal of Manipulative and Physiological Therapeutics","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Calgary","funders":"","keywords":"Rasch model; Polytomous Rasch model; Cronbach's alpha; Medicine; Statistics; Licensure; Item response theory; Psychometrics; Psychology; Clinical psychology; Mathematics; Medical education","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":[],"category_scores_codex":[0.1678939,0.001087015,0.00138559,0.002064131,0.001636788,0.003334442,0.002640354,0.001327418,0.0038106],"category_scores_gemma":[0.3853793,0.001020011,0.002711094,0.002617627,0.005553758,0.003213613,0.004993618,0.002579088,0.0007156542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942141,"about_ca_system_score_gemma":0.002099079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004113524,"about_ca_topic_score_gemma":0.005295275,"domain_scores_codex":[0.772716,0.1790258,0.009975133,0.01694427,0.01954501,0.001793709],"domain_scores_gemma":[0.3474481,0.5638095,0.02458012,0.05022732,0.01277422,0.001160829],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001461525,0.0003769049,0.8861501,0.0006455387,0.002518504,0.0005359906,0.005955668,0.01315114,0.00122141,0.00949813,0.001092152,0.07739287],"study_design_scores_gemma":[0.0002051348,0.002859341,0.748911,0.0008080234,0.001261428,0.001981408,0.004220481,0.2067915,0.004755775,0.02436945,0.00354434,0.0002919958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7411021,0.001048811,0.2472691,0.001059642,0.0001440609,0.0008338446,0.0004515021,0.0004190124,0.007671915],"genre_scores_gemma":[0.9835,0.00006579396,0.01517139,0.000155149,0.00003207741,0.0002749862,0.0002185764,0.00005219683,0.0005298562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8321061,"threshold_uncertainty_score":0.8879184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6821675390066855,"score_gpt":0.4999309688009727,"score_spread":0.1822365702057128,"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."}}