{"id":"W4390616313","doi":"10.6007/ijarbss/v13-i12/19667","title":"Exploratory Factor Analysis (EFA) and Reliability Analysis of Financial Literacy Instrument Among Trainee Teachers","year":2023,"lang":"en","type":"article","venue":"International Journal of Academic Research in Business and Social Sciences","topic":"Financial Literacy and Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"Organisation de Coopération et de Développement Économiques","keywords":"Construct (python library); Exploratory factor analysis; Construct validity; Reliability (semiconductor); Financial literacy; Psychology; IBM; Weighting; Mathematics education; Medical education; Finance; Computer science; Business; Psychometrics; Medicine; Developmental 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":[0.0165806,0.0005261014,0.0006304588,0.0029903,0.001027001,0.001060136,0.0003690789,0.000367489,0.001836466],"category_scores_gemma":[0.04647015,0.0003137008,0.001029599,0.001897186,0.0008889312,0.0008237149,0.00101767,0.0006854188,0.0003217674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000762554,"about_ca_system_score_gemma":0.002529541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222274,"about_ca_topic_score_gemma":0.002769995,"domain_scores_codex":[0.9929212,0.003049847,0.0008438548,0.0005516173,0.002117923,0.0005155988],"domain_scores_gemma":[0.9568688,0.02798494,0.002434764,0.00219923,0.009991865,0.0005204108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002774178,0.0006560133,0.8311749,0.000247342,0.0001437317,0.0002035418,0.02480135,0.000891195,0.004405158,0.001479617,0.001178238,0.1345415],"study_design_scores_gemma":[0.0000585262,0.0009914233,0.967625,0.0001872806,0.00009946551,0.0002321477,0.01689345,0.005763181,0.003342787,0.001411063,0.003347187,0.00004851447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874192,0.0000671923,0.008970169,0.000109661,0.00001586509,0.0006492172,0.0002190167,0.00004698484,0.002502577],"genre_scores_gemma":[0.986974,0.0000707243,0.01067159,0.00002582288,0.00001100213,0.001381592,0.0002675065,0.00001317579,0.000584483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165806,"threshold_uncertainty_score":0.08768761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057619920132312,"score_gpt":0.4054361245329514,"score_spread":0.2996741325197202,"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."}}