{"id":"W2165550009","doi":"10.1186/1477-7525-3-33","title":"Internal consistency reliability is a poor predictor of responsiveness","year":2005,"lang":"en","type":"article","venue":"Health and Quality of Life Outcomes","topic":"Cancer survivorship and care","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; McMaster University Medical Centre; Health Sciences Centre","funders":"","keywords":"Cronbach's alpha; Reliability (semiconductor); Medicine; Linear regression; Quality of life (healthcare); Internal consistency; Correlation; Regression analysis; Physical therapy; Psychometrics; Clinical psychology; Statistics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1001222,0.0008521772,0.002066042,0.003263651,0.001055796,0.003091465,0.00127058,0.001035611,0.00153133],"category_scores_gemma":[0.2408206,0.0008151442,0.003328119,0.003106113,0.003554611,0.002042753,0.002367985,0.002109939,0.0004492371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216912,"about_ca_system_score_gemma":0.001784024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994293,"about_ca_topic_score_gemma":0.001611869,"domain_scores_codex":[0.8925796,0.06505885,0.01309873,0.007569959,0.02014175,0.001551171],"domain_scores_gemma":[0.5203415,0.3715996,0.04226031,0.03201091,0.03134839,0.002439326],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002655276,0.00009205787,0.9475068,0.001064285,0.003078079,0.0001330685,0.003146095,0.00151361,0.0006648996,0.001922977,0.002223705,0.03838883],"study_design_scores_gemma":[0.00008472885,0.0007924317,0.9634123,0.001392563,0.001442244,0.0006062888,0.002519245,0.006638506,0.001614618,0.01370855,0.007639774,0.0001487246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8875192,0.01416093,0.06663784,0.004785812,0.001264177,0.0008090935,0.001690988,0.0004817038,0.02265021],"genre_scores_gemma":[0.9941232,0.0005185783,0.003992916,0.0003120898,0.0001177081,0.0002473071,0.0003748262,0.00005735633,0.0002560758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8998778,"threshold_uncertainty_score":0.529503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0694056975667175,"score_gpt":0.3914497273090589,"score_spread":0.3220440297423414,"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."}}