{"id":"W3095583164","doi":"10.1177/2515245920951747","title":"Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates","year":2020,"lang":"en","type":"article","venue":"Advances in Methods and Practices in Psychological Science","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":542,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Omega; Confusion; Reliability (semiconductor); Construct (python library); Alpha (finance); Variety (cybernetics); Quality (philosophy); Confirmatory factor analysis; Cronbach's alpha; Computer science; Correlation coefficient; Statistics; Mathematics; Psychology; Epistemology; Physics; Psychometrics; Structural equation modeling; Philosophy; Programming language; Thermodynamics","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":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04428627,0.0004327078,0.0008644495,0.0007120636,0.000520473,0.0007844348,0.002381212,0.0002222602,0.0002658087],"category_scores_gemma":[0.3259605,0.0002786504,0.00009341305,0.01341003,0.0009888133,0.001564458,0.0007774964,0.0009493185,0.00003228144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615915,"about_ca_system_score_gemma":0.0001036569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006929998,"about_ca_topic_score_gemma":0.000009375878,"domain_scores_codex":[0.9892201,0.002703129,0.001540781,0.003175521,0.002264244,0.00109618],"domain_scores_gemma":[0.9518736,0.04430597,0.001419586,0.001198952,0.0005517133,0.0006502033],"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":[0.001386248,0.001098042,0.1408803,0.00004498196,0.000008154156,0.00007985701,0.00446268,0.02501967,0.009165606,0.001976746,0.000563462,0.8153143],"study_design_scores_gemma":[0.00357061,0.006478912,0.1841644,0.0003400315,0.00005467365,0.0001248886,0.004947643,0.3421361,0.00717781,0.2160769,0.2325131,0.002414868],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7593341,0.0009788109,0.2191463,0.01139368,0.002469201,0.0008374414,0.00001591005,0.00006396168,0.005760574],"genre_scores_gemma":[0.3859877,0.0001793424,0.6075401,0.006074179,0.0001642542,0.00003064337,2.842006e-7,0.000009185737,0.00001431559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8128994,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3780115946846152,"score_gpt":0.6190029165631815,"score_spread":0.2409913218785663,"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."}}