{"id":"W2912835846","doi":"10.1002/0470013192.bsa654","title":"Structural Equation Modeling and Test Validation","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Behavioral Science","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Structural equation modeling; Confirmatory factor analysis; Construct validity; Context (archaeology); Psychology; Predictive validity; Test validity; Test (biology); Scale (ratio); Econometrics; Psychometrics; Computer science; Statistics; Mathematics; Clinical psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003894491,0.0002013408,0.0003987373,0.001509161,0.00009557038,0.0001408298,0.0008445342,0.0001397842,0.0008158983],"category_scores_gemma":[0.0421925,0.0001633728,0.00002310169,0.002272009,0.0005147949,0.0002568171,0.0002287337,0.0002240008,0.00001131573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007323593,"about_ca_system_score_gemma":0.0001742551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008354508,"about_ca_topic_score_gemma":0.0001975148,"domain_scores_codex":[0.9962102,0.0001070955,0.0008418504,0.0006936348,0.001819082,0.0003281371],"domain_scores_gemma":[0.9933879,0.005121059,0.0006994988,0.0004350536,0.0002442842,0.000112243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005083441,0.00007046056,0.2394227,0.00001992187,0.000001382808,0.000008349834,0.0005654555,0.001239305,0.0001262379,0.003061084,0.007063526,0.7484165],"study_design_scores_gemma":[0.001666406,0.0007528272,0.2930183,0.0006477113,0.0001299898,0.00003224601,0.002281664,0.5893663,0.0001123213,0.08982912,0.01984165,0.002321423],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2930222,0.001224187,0.2239009,0.0001083172,0.003994789,0.0013026,0.001422539,0.0001761649,0.4748484],"genre_scores_gemma":[0.2669636,0.0007701161,0.686799,0.00001288224,0.0002705409,0.00001365319,0.00002785573,0.00009479241,0.04504752],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7460951,"threshold_uncertainty_score":0.9658755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3269988878342432,"score_gpt":0.473179561470277,"score_spread":0.1461806736360338,"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."}}