{"id":"W2538209323","doi":"10.1016/j.psychres.2016.10.027","title":"A psychometric evaluation of hierarchical and oblique versions of five variants of the Posttraumatic Growth Inventory","year":2016,"lang":"en","type":"article","venue":"Psychiatry Research","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Canadian Institutes of Health Research; University of Regina","keywords":"Posttraumatic growth; Oblique case; Confirmatory factor analysis; Psychology; Multilevel model; Hierarchical database model; Index (typography); Clinical psychology; Sample (material); Structural equation modeling; Statistics; Data mining; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007755614,0.001081396,0.0005208364,0.001760837,0.0006971512,0.001065408,0.0008763937,0.0005017388,0.001691131],"category_scores_gemma":[0.02669241,0.0006136231,0.001455682,0.001796342,0.0008733582,0.001221664,0.001775605,0.001201706,0.0004646307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009098463,"about_ca_system_score_gemma":0.001372878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006330857,"about_ca_topic_score_gemma":0.006305075,"domain_scores_codex":[0.9955435,0.001593147,0.0008852051,0.0004538307,0.001246537,0.0002777416],"domain_scores_gemma":[0.9779368,0.01044996,0.004237492,0.00162395,0.004813493,0.0009382786],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003153331,0.001109205,0.9246059,0.00008287511,0.0002734278,0.00009454008,0.002440051,0.00130081,0.002283372,0.000836194,0.001098832,0.06272148],"study_design_scores_gemma":[0.0004078731,0.003605361,0.982197,0.000108871,0.0001833967,0.0003380326,0.002581944,0.004852518,0.002349628,0.001027109,0.002272583,0.00007580497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994253,0.0002361734,0.001960584,0.00009560322,0.00008127091,0.0004675465,0.0006874018,0.00003750369,0.002180972],"genre_scores_gemma":[0.9911166,0.0002367241,0.005198998,0.00008076723,0.00002970048,0.0004901909,0.002066726,0.00002906927,0.0007511771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922444,"threshold_uncertainty_score":0.04101604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1706918630369028,"score_gpt":0.4459430544608883,"score_spread":0.2752511914239856,"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."}}