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Psychometrika|February 25, 2026
Practical Implications of Sum Scores Being Psychometrics' Greatest AccomplishmentDaniel McNeishBehavior Research Methods|April 16, 2026
A primer on intensive longitudinal psychometricsDaniel McNeishMultivariate Behavioral Research|February 14, 2023
Generalizability of Dynamic Fit Index, Equivalence Testing, and Hu & Bentler Cutoffs for Evaluating Fit in Factor AnalysisDaniel McNeishPsychological Methods|June 12, 2025
Dynamic measurement invariance cutoffs for two-group fit index differencesDaniel McNeishMultivariate Behavioral Research|July 18, 2017
Small Sample Methods for Multilevel Modeling: A Colloquial Elucidation of REML and the Kenward-Roger CorrectionDaniel McNeishThe American Psychologist|January 2, 2024
Dynamic fit index cutoffs for categorical factor analysis with Likert-type, ordinal, or binary responsesDaniel McNeishPsychological Methods|November 13, 2023
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect modelsDaniel McNeishStructural Equation Modeling : a Multidisciplinary Journal|September 1, 2020
Two-Level Dynamic Structural Equation Models with Small SamplesDaniel McNeishEducational and Psychological Measurement|July 24, 2018
Fitting Residual Error Structures for Growth Models in SAS PROC MCMCDaniel McNeishAnnual Review of Psychology|August 19, 2025
How Do Psychologists Determine Whether a Measurement Scale Is Good? A Quarter-Century of Scale Validation with Hu & Bentler (1999)Daniel McNeishPageof 10