{"id":"W4402740267","doi":"10.1016/j.jretconser.2024.104018","title":"Using necessary condition analysis to complement multigroup analysis in partial least squares structural equation modeling","year":2024,"lang":"en","type":"article","venue":"Journal of Retailing and Consumer Services","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Corporation for National and Community Service; National Children's Alliance","keywords":"Structural equation modeling; Complement (music); Partial least squares regression; Mathematics; Statistics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000938535,0.0001842064,0.0004899622,0.001913826,0.0001695961,0.0006771793,0.0001696157,0.00006389678,0.0000990382],"category_scores_gemma":[0.00001306658,0.0001608954,0.0002454073,0.002546956,0.00001887144,0.001393482,0.00007875448,0.00021356,0.000006787501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004352281,"about_ca_system_score_gemma":0.00002510764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005250921,"about_ca_topic_score_gemma":0.007949361,"domain_scores_codex":[0.9983135,0.00005026869,0.0007859524,0.0002692761,0.0003522199,0.0002287794],"domain_scores_gemma":[0.9991934,0.00006953219,0.0003127136,0.0001305084,0.0002555863,0.00003828817],"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":[0.0001407487,0.00003310476,0.3366967,0.0007243939,0.002783214,0.00003664135,0.001605387,0.6533645,0.0004175036,0.0005874444,0.000004943678,0.003605417],"study_design_scores_gemma":[0.0002931131,0.00001021832,0.01563455,0.0001942752,0.004826212,0.000003309164,0.003837464,0.9744039,0.00001840085,0.0003495033,0.000239783,0.0001892509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847536,0.002044722,0.01224756,0.0005913897,0.0002085435,0.00009445287,0.000008458055,0.00002779258,0.00002348849],"genre_scores_gemma":[0.9985812,0.00002914856,0.0005955911,0.0004213508,0.0003017471,0.000001929909,0.00005491751,0.00001119692,0.000002926023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3210621,"threshold_uncertainty_score":0.7937856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05723187579413894,"score_gpt":0.3232828861992408,"score_spread":0.2660510104051019,"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."}}