{"id":"W2004501768","doi":"10.1177/0013164402239317","title":"Differential Item Functioning Results May Change Depending On How An Item Is Scored: An Illustration With The Center For Epidemiologic Studies Depression Scale","year":2003,"lang":"en","type":"article","venue":"Educational and Psychological Measurement","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Differential item functioning; Psychology; Item response theory; Logistic regression; Statistics; Psychometrics; Ordered logit; Scale (ratio); Clinical psychology; Center for Epidemiologic Studies Depression Scale; Persistence (discontinuity); Depressive symptoms; Mathematics; Cognition; Psychiatry","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":[0.1101033,0.0008094083,0.0008445587,0.002549205,0.001054431,0.001443788,0.0007531806,0.0007448714,0.001844434],"category_scores_gemma":[0.2425298,0.0004457911,0.001092978,0.003879474,0.002100545,0.001605029,0.001790942,0.001480562,0.0006207458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000876496,"about_ca_system_score_gemma":0.0005070374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008041074,"about_ca_topic_score_gemma":0.001961787,"domain_scores_codex":[0.8474614,0.1299964,0.008542595,0.003551157,0.009527577,0.0009207956],"domain_scores_gemma":[0.785395,0.1791364,0.006884169,0.015334,0.01290511,0.0003454437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001323521,0.0003024794,0.5199795,0.0009178384,0.0009734336,0.0007584551,0.0149724,0.001881381,0.006808796,0.02379938,0.008826286,0.4194565],"study_design_scores_gemma":[0.0002638736,0.001222141,0.8773533,0.0009196252,0.0005125468,0.004674551,0.005046878,0.01571639,0.01163876,0.04985918,0.03251719,0.0002755079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5910213,0.003950861,0.3736634,0.005951896,0.0008108044,0.001328371,0.001269942,0.0004487605,0.02155464],"genre_scores_gemma":[0.8847415,0.0004709029,0.1105906,0.001060207,0.0001390784,0.001433196,0.000396056,0.0001573922,0.00101113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1101033,"threshold_uncertainty_score":0.5822889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8833118557082188,"score_gpt":0.5341469955629262,"score_spread":0.3491648601452926,"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."}}