{"id":"W4289517864","doi":"10.3389/fpsyg.2022.931296","title":"Conceptual, methodological, and measurement factors that disqualify use of measurement invariance techniques to detect informant discrepancies in youth mental health assessments","year":2022,"lang":"en","type":"review","venue":"Frontiers in Psychology","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Institute of Education Sciences; National Institutes of Health; National Institute on Alcohol Abuse and Alcoholism; Fulbright Canada","keywords":"Measurement invariance; Psychology; Set (abstract data type); Mental health; Social psychology; Function (biology); Applied psychology; Scholarship; Cognitive psychology; Statistics; Computer science; Confirmatory factor analysis; Structural equation modeling; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003766664,0.000688487,0.002624989,0.0008835258,0.0001550237,0.00003497695,0.0005527986,0.0004002062,0.0001942485],"category_scores_gemma":[0.000165654,0.0005666997,0.000304109,0.0007149812,0.0002853995,0.000133523,0.0002803519,0.0008848169,0.000003690246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009024375,"about_ca_system_score_gemma":0.0003025896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000512861,"about_ca_topic_score_gemma":0.0001819685,"domain_scores_codex":[0.9931079,0.002312683,0.001726034,0.001089832,0.0009794747,0.0007840834],"domain_scores_gemma":[0.9982144,0.0001138694,0.0008750116,0.0005205138,0.00005112073,0.0002250435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002618165,0.0006161183,0.00442389,0.001220035,0.0004577858,0.000007956667,0.008238923,2.854965e-7,0.000001040809,0.0005966601,0.02196145,0.9622141],"study_design_scores_gemma":[0.0006602437,0.000489107,0.009555329,0.003954307,0.00007468989,0.000008848145,0.003641576,1.60751e-7,9.592845e-7,0.0002988634,0.9807714,0.0005445466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001392395,0.9806083,0.008315147,0.0005872477,0.005569158,0.003396699,0.0006170457,0.00006967526,0.0006974346],"genre_scores_gemma":[0.0005975144,0.9850088,0.01220925,0.001396294,0.00005362314,0.0003675776,0.0002584052,0.00005511861,0.00005347049],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9616695,"threshold_uncertainty_score":0.9996784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4977179159041945,"score_gpt":0.4558850336145829,"score_spread":0.04183288228961152,"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."}}