{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0730495,0.001712929,0.001846212,0.005572551,0.001318625,0.003928038,0.002339825,0.00148104,0.009894082],"category_scores_gemma":[0.2293633,0.0009351105,0.002542583,0.007408107,0.002463236,0.002986644,0.003304377,0.004035637,0.002018135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582486,"about_ca_system_score_gemma":0.008749982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007853496,"about_ca_topic_score_gemma":0.005447745,"domain_scores_codex":[0.9218569,0.06330715,0.002378774,0.002724562,0.00903393,0.0006985998],"domain_scores_gemma":[0.8565905,0.1169592,0.003573099,0.00869925,0.01363666,0.0005412909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001616617,0.0004708802,0.03598058,0.00126249,0.001455712,0.0002229337,0.003964802,0.04135999,0.0004176811,0.4183329,0.01584258,0.4805278],"study_design_scores_gemma":[0.0003582446,0.0009334948,0.03905694,0.004078252,0.0008535356,0.0002953763,0.003667122,0.3421977,0.00180839,0.5463803,0.06018372,0.0001868872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04080662,0.00208928,0.9122587,0.002980197,0.0004594429,0.003187782,0.002407771,0.0009555661,0.03485467],"genre_scores_gemma":[0.3549189,0.001928874,0.626965,0.000431599,0.0001649938,0.008304652,0.003349979,0.0002620945,0.003673959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0730495,"threshold_uncertainty_score":0.3863273,"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."}}