{"id":"W3093777151","doi":"10.28924/2291-8639-18-2020-876","title":"Formative Vs. Reflective Measurement Model: Guidelines for Structural Equation Modeling Research","year":2020,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Formative assessment; Structural equation modeling; Construct (python library); Computer science; Plan (archaeology); Reflective practice; Management science; Knowledge management; Psychology; Mathematics education; Engineering; Pedagogy; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003060254,0.00008068546,0.0002424329,0.0008152497,0.0002025421,0.0001899352,0.0006822768,0.00005986654,0.00002198536],"category_scores_gemma":[0.00206431,0.00005885404,0.0002273015,0.0009975694,0.00005892331,0.0003631618,0.00009057155,0.0002005861,0.000004609028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008985641,"about_ca_system_score_gemma":0.0001060133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008796371,"about_ca_topic_score_gemma":0.00002256113,"domain_scores_codex":[0.9968231,0.00007201988,0.0009560246,0.0002221456,0.001816947,0.0001097268],"domain_scores_gemma":[0.9836293,0.0001897104,0.0004782002,0.0001367857,0.01546306,0.0001029299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005171603,0.0001213916,0.009974306,0.00000500327,0.002052763,0.000001831759,0.003991804,0.8173651,0.003989447,0.06544983,0.006778904,0.08975243],"study_design_scores_gemma":[0.0002938551,0.00005645672,0.0006516419,0.000004764249,0.0001455189,0.00000313258,0.001338728,0.9126441,0.0002568024,0.08325297,0.001294448,0.00005754597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0655653,0.0001126869,0.9099711,0.02405545,0.00003412291,0.0001540178,0.0000341027,0.00001045082,0.00006280519],"genre_scores_gemma":[0.971808,0.00006161377,0.02736387,0.0005106827,0.0001888008,0.00003386584,0.000007577854,0.000004614899,0.00002093744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9062427,"threshold_uncertainty_score":0.2471321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6649534963788385,"score_gpt":0.5732507205965407,"score_spread":0.0917027757822978,"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."}}