{"id":"W4407141799","doi":"10.1007/s12144-025-07465-z","title":"Factorial structure and measurement invariance of the Italian version of the Cooper – Norcross Inventory of Preferences (C-NIP)","year":2025,"lang":"en","type":"article","venue":"Current Psychology","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Università degli studi di Bergamo","keywords":"NIP; Psychology; Factorial; Social psychology; Measurement invariance; Statistics; Structural equation modeling; Mathematics; Confirmatory factor analysis; Mathematical analysis; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003894334,0.0001562996,0.0003159747,0.0000911426,0.00008684913,0.000007230945,0.0006944097,0.0001916434,0.0009142405],"category_scores_gemma":[0.0002689892,0.00008793281,0.000116755,0.000514721,0.001268615,0.0000340095,0.0002365562,0.0004293075,0.000003888002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001941552,"about_ca_system_score_gemma":0.0001204404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004931969,"about_ca_topic_score_gemma":0.0000593332,"domain_scores_codex":[0.9979255,0.000649826,0.0004436054,0.0003771601,0.0003653514,0.0002385844],"domain_scores_gemma":[0.9985311,0.000125585,0.0002763719,0.0006096064,0.0004146509,0.00004267503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001529039,0.0007563473,0.7903097,0.0004103392,0.0004125859,8.139185e-7,0.001967045,0.00000127062,0.03968092,0.02171441,0.02442662,0.1187909],"study_design_scores_gemma":[0.002086392,0.0002140296,0.9513563,0.0002844343,0.00005890543,0.000003232501,0.0001875022,0.00000111632,0.004653085,0.007429461,0.03361271,0.0001128584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727823,0.002974643,0.00008889302,0.0004455643,0.007874254,0.000541267,0.0001814058,0.000006097556,0.01510561],"genre_scores_gemma":[0.9995553,0.00008448205,0.000006078317,0.00012336,0.00006454845,0.00001113184,0.000003412005,0.000005267064,0.0001464544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610466,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163346643899993,"score_gpt":0.4085646194376044,"score_spread":0.2922299550476051,"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."}}