{"id":"W1966169084","doi":"10.1177/0013164410387382","title":"Invariance of the Measurement Model Underlying the Wechsler Adult Intelligence Scale-IV in the United States and Canada","year":2010,"lang":"en","type":"article","venue":"Educational and Psychological Measurement","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; BC Mental Health & Substance Use Services; University of British Columbia","funders":"American Psychological Association; American Educational Research Association","keywords":"Psychology; Wechsler Adult Intelligence Scale; Measurement invariance; Normative; Generality; Construct validity; Intelligence quotient; Latent variable; Wechsler Preschool and Primary Scale of Intelligence; Psychometrics; Cognition; Developmental psychology; Construct (python library); Scale (ratio); Set (abstract data type); Latent variable model; Wechsler Intelligence Scale for Children; Sample (material); Statistics; Confirmatory factor analysis; Structural equation modeling; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511904,0.000122785,0.000103624,0.00003167726,0.0002479476,0.00003891837,0.0002939835,0.00004850691,0.000173989],"category_scores_gemma":[0.0005319834,0.00005951138,0.00002605338,0.0002185588,0.0003242094,0.0000228429,0.00003978294,0.000401422,0.000001311351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005675619,"about_ca_system_score_gemma":0.0001566524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1464472,"about_ca_topic_score_gemma":0.4040575,"domain_scores_codex":[0.9984238,0.0002274023,0.0002855479,0.0002724339,0.0005904518,0.000200389],"domain_scores_gemma":[0.9986559,0.0004926046,0.0001016086,0.0002750482,0.0004278204,0.00004701815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006582119,0.005203539,0.3533269,0.0002074449,0.0003449172,0.000004922586,0.06324825,0.001566081,0.005865741,0.4152454,0.02607961,0.128249],"study_design_scores_gemma":[0.0002501798,0.00007134879,0.9264714,0.00007472785,0.00002060168,0.00001857093,0.007652985,0.0007759113,0.00003005518,0.06307649,0.001417563,0.0001401721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967531,0.0002175338,0.0002211367,0.02696557,0.0004927019,0.000394957,0.00001110486,0.000004278883,0.004161716],"genre_scores_gemma":[0.9956884,0.0000289992,0.0001287081,0.003926845,0.00004840506,0.0001235425,0.000002601,0.000004815519,0.00004762504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5731445,"threshold_uncertainty_score":0.8592367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2390830827106653,"score_gpt":0.3553275337429329,"score_spread":0.1162444510322676,"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."}}