{"id":"W2768934567","doi":"10.1111/ijsa.12187","title":"Are assessment center behaviors' meanings consistent across exercises? A measurement invariance approach","year":2017,"lang":"en","type":"article","venue":"International Journal of Selection and Assessment","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Psychology; Dimension (graph theory); Consistency (knowledge bases); Rating scale; Measurement invariance; Sample (material); Factor analysis; Construct validity; Trait; Construct (python library); Social psychology; Statistics; Applied psychology; Confirmatory factor analysis; Psychometrics; Developmental psychology; Structural equation modeling; Mathematics; Artificial intelligence; Computer science","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":[0.04034063,0.0005151635,0.0007835698,0.001484615,0.001088215,0.0020888,0.001092406,0.000696601,0.002042783],"category_scores_gemma":[0.1401791,0.00040259,0.001443623,0.001797963,0.003392278,0.002677029,0.002131033,0.001375757,0.0002931645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070068,"about_ca_system_score_gemma":0.001444834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002292393,"about_ca_topic_score_gemma":0.001610521,"domain_scores_codex":[0.9713126,0.017743,0.002341452,0.003735938,0.004037561,0.0008294534],"domain_scores_gemma":[0.8924651,0.06666814,0.009702312,0.02314989,0.00740722,0.000607282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007501756,0.0006610297,0.6577256,0.0005549394,0.001000896,0.000119806,0.02180984,0.0024135,0.009719876,0.02779479,0.001024993,0.2764246],"study_design_scores_gemma":[0.0001654149,0.001735468,0.9306138,0.0002966478,0.000415448,0.0002279955,0.007250851,0.01842291,0.004914223,0.0312214,0.004620937,0.0001150181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8058679,0.0002819972,0.1812745,0.0005839914,0.0001095489,0.0009007213,0.0003402171,0.0002330391,0.01040811],"genre_scores_gemma":[0.9732313,0.00004284473,0.02494279,0.00008352836,0.00002148275,0.0012594,0.0001704705,0.00003804763,0.0002101724],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04034063,"threshold_uncertainty_score":0.2133442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5001267709211625,"score_gpt":0.5373745756699646,"score_spread":0.03724780474880207,"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."}}