{"id":"W1973036726","doi":"10.1177/0013164410379335","title":"Confidence Intervals for Squared Semipartial Correlation Coefficients: The Effect of Nonnormality","year":2010,"lang":"en","type":"article","venue":"Educational and Psychological Measurement","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Statistics; Confidence interval; Mathematics; Percentile; Coverage probability; Robust confidence intervals; Sample size determination; CDF-based nonparametric confidence interval; Regression analysis; Correlation coefficient; Confidence distribution; Correlation; Linear regression; Regression","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":[0.002165013,0.00009428823,0.0001643828,0.00001365091,0.0001059216,0.00001233494,0.0001029075,0.00005826202,0.0001334627],"category_scores_gemma":[0.004417486,0.00005176007,0.00005283976,0.00004825516,0.0001560949,0.00003069408,0.00001474738,0.0001426051,0.000001918476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001185472,"about_ca_system_score_gemma":0.00001402515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002788138,"about_ca_topic_score_gemma":0.000003946021,"domain_scores_codex":[0.9989464,0.0001762475,0.000286039,0.0001919612,0.0002776372,0.0001216873],"domain_scores_gemma":[0.996892,0.002539492,0.0001253139,0.0001574548,0.000225962,0.00005972155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007238027,0.0006414066,0.001471053,0.0001588493,0.000039634,1.21495e-7,0.0003715611,0.00002822596,0.01369416,0.9469221,0.002633937,0.03331511],"study_design_scores_gemma":[0.0008770822,0.001013574,0.02050787,0.00005479332,0.00006278859,0.000007088641,0.00002895195,0.0009659475,0.002857533,0.9722439,0.001246807,0.0001336665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1806751,0.00003704453,0.816075,0.001263644,0.0007571474,0.0006045352,0.00002614848,0.000009197913,0.0005521009],"genre_scores_gemma":[0.9601151,0.000001704759,0.03942794,0.0000843984,0.0001292273,0.0001801835,0.000004583227,0.000004359049,0.00005254062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7794399,"threshold_uncertainty_score":0.5288462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2301877137674607,"score_gpt":0.4782251453698139,"score_spread":0.2480374316023532,"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."}}