{"id":"W2008020807","doi":"10.1007/s10182-010-0132-3","title":"Nonlinear structural equation modeling: is partial least squares an alternative?","year":2010,"lang":"en","type":"article","venue":"AStA Advances in Statistical Analysis","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"LISREL; Structural equation modeling; Latent variable; Mathematics; Partial least squares regression; Statistics; Econometrics","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":[0.03006579,0.001639644,0.003593092,0.001985459,0.001304081,0.005644397,0.004747001,0.004728046,0.007487534],"category_scores_gemma":[0.1315695,0.0009683168,0.002094423,0.006074484,0.004028453,0.007956084,0.001734491,0.006064813,0.00200754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009979217,"about_ca_system_score_gemma":0.00435644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00574854,"about_ca_topic_score_gemma":0.01309523,"domain_scores_codex":[0.9754317,0.01880791,0.0009900986,0.002422429,0.002064229,0.0002836093],"domain_scores_gemma":[0.9050087,0.07997515,0.00286204,0.005459771,0.006036348,0.0006579859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003725806,0.0002703299,0.009084959,0.00188476,0.001882595,0.0002691255,0.0007960809,0.01677285,0.0002521771,0.3094288,0.02786717,0.6311185],"study_design_scores_gemma":[0.0001639099,0.0001973794,0.002717345,0.0008936676,0.0005926774,0.0004096709,0.0008377304,0.08949959,0.0003221216,0.8842444,0.01996007,0.0001614863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006445985,0.0112961,0.9457572,0.02989129,0.001594019,0.00009906146,0.0003319028,0.0002499356,0.004334559],"genre_scores_gemma":[0.2772898,0.0218611,0.6833041,0.007270026,0.003526791,0.0005233044,0.0007822565,0.0003299376,0.00511273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03006579,"threshold_uncertainty_score":0.159005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2948160531890857,"score_gpt":0.5122797312166472,"score_spread":0.2174636780275615,"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."}}