{"id":"W4292454731","doi":"10.1177/00131644221111402","title":"Comparing the Psychometric Properties of a Scale Across Three Likert and Three Alternative Formats: An Application to the Rosenberg Self-Esteem Scale","year":2022,"lang":"en","type":"article","venue":"Educational and Psychological Measurement","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Likert scale; Scale (ratio); Psychology; Acquiescence; Psychometrics; Computer science; Statistics; Clinical psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01027086,0.0001691394,0.0002779498,0.0001887728,0.001115123,0.0002019946,0.001087338,0.00003749097,0.0000613215],"category_scores_gemma":[0.002605751,0.00008082662,0.00006370349,0.002112533,0.0001937653,0.0001471295,0.0003681528,0.0002727828,0.000009805221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006768962,"about_ca_system_score_gemma":0.000033088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001230757,"about_ca_topic_score_gemma":0.0002202216,"domain_scores_codex":[0.9960492,0.0005336209,0.0006255085,0.0006173582,0.00188154,0.0002928206],"domain_scores_gemma":[0.9967459,0.001715191,0.0003403145,0.0006231512,0.0004328222,0.0001425498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003019178,0.001811169,0.6910167,0.00001688882,0.00006274124,1.562974e-7,0.007792927,0.0007335208,0.001497247,0.001855949,0.002465398,0.2924454],"study_design_scores_gemma":[0.0002911554,0.0004398919,0.9624853,0.00001123833,0.0000106422,0.00002949559,0.003085669,0.00148101,0.00005552316,0.02649871,0.005479055,0.0001323564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779297,0.001775189,0.007975584,0.009972205,0.0006885708,0.0007889319,0.00001456397,0.00002537572,0.0008298878],"genre_scores_gemma":[0.9951015,0.00002672862,0.003323196,0.000810949,0.0001980831,0.0004985214,0.000001680944,0.000006980927,0.00003234526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.292313,"threshold_uncertainty_score":0.8576741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.591184351862449,"score_gpt":0.4538721924682785,"score_spread":0.1373121593941705,"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."}}