{"id":"W3093490646","doi":"10.1177/0734282920967141","title":"School Climate Research: Italian Adaptation and Validation of a Multidimensional School Climate Questionnaire","year":2020,"lang":"en","type":"article","venue":"Journal of Psychoeducational Assessment","topic":"Parental Involvement in Education","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Confirmatory factor analysis; Exploratory factor analysis; School climate; Adaptation (eye); Reliability (semiconductor); Applied psychology; Measurement invariance; Psychometrics; Structural equation modeling; Developmental psychology; Mathematics education; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01474218,0.0006047042,0.000419375,0.003102564,0.0008068725,0.00077495,0.0008460456,0.0005532933,0.002163155],"category_scores_gemma":[0.01481741,0.0002968444,0.001116,0.002048881,0.0006937615,0.00083239,0.001512801,0.0009113703,0.0008303591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415606,"about_ca_system_score_gemma":0.002998614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004931774,"about_ca_topic_score_gemma":0.008876451,"domain_scores_codex":[0.9929202,0.003313787,0.001095752,0.0005352679,0.001696918,0.0004381127],"domain_scores_gemma":[0.9858248,0.003816522,0.002220877,0.001910842,0.00514487,0.001082078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001865834,0.0009536207,0.8766266,0.0002917252,0.000104396,0.0001208076,0.004885444,0.0008350353,0.002536093,0.001063282,0.003955851,0.1084406],"study_design_scores_gemma":[0.00003933132,0.0003869932,0.9894413,0.00007218114,0.00002446891,0.0001131331,0.000890762,0.000554242,0.0005167503,0.0002075723,0.007732579,0.00002062163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641934,0.0007324985,0.01387086,0.0006026265,0.0001744179,0.003964235,0.003295818,0.0001943875,0.0129719],"genre_scores_gemma":[0.9469246,0.0005297319,0.03571876,0.0002591836,0.00008892494,0.008187746,0.005210318,0.0001205773,0.002960154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01474218,"threshold_uncertainty_score":0.07796502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2001218965698632,"score_gpt":0.4874536160550382,"score_spread":0.287331719485175,"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."}}