{"id":"W2102340350","doi":"10.5539/ass.v11n4p371","title":"Use of Structural Equation Modeling in Social Science Research","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Educational Management and Quality","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Interpretation (philosophy); Computer science; Statistical analysis; Management science; Data science; Psychology; Mathematics; Statistics; Machine learning; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.04323964,0.001351663,0.001945558,0.008132867,0.002603628,0.005103054,0.001746537,0.003059175,0.004649347],"category_scores_gemma":[0.08438785,0.0009376447,0.002202602,0.0156392,0.005671691,0.005872984,0.004048333,0.006171252,0.001110236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004551505,"about_ca_system_score_gemma":0.008498115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898983,"about_ca_topic_score_gemma":0.00513081,"domain_scores_codex":[0.920515,0.06363897,0.003222236,0.003806874,0.008232852,0.000584004],"domain_scores_gemma":[0.8814975,0.09939837,0.006403306,0.006037725,0.006141596,0.0005215352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005503975,0.0002444119,0.02016365,0.005018217,0.0007881813,0.0005235595,0.01314044,0.00934045,0.0008789419,0.7178784,0.01169495,0.2202738],"study_design_scores_gemma":[0.00007163577,0.0004459891,0.01203089,0.007773665,0.00050343,0.0009694885,0.006460314,0.03108848,0.001731609,0.8064627,0.1322333,0.0002285682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.024385,0.02335104,0.8671749,0.02243327,0.001639699,0.002259914,0.001560097,0.0006995834,0.05649642],"genre_scores_gemma":[0.3238198,0.02317783,0.6387111,0.003770315,0.0006644416,0.005500816,0.001027293,0.0001906901,0.0031378],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04323964,"threshold_uncertainty_score":0.2286758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4845227875525207,"score_gpt":0.4792704204955693,"score_spread":0.005252367056951313,"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."}}