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Daniel McNeish

Behavior research methods

Showing results (1-10 of 10) with videos related to

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Behavior Research Methods|March 14, 2026
Dynamic measurement invariance cutoffs for longitudinal and dyadic dataDaniel McNeish
Behavior Research Methods|November 17, 2022
Psychometric properties of sum scores and factor scores differ even when their correlation is 0.98: A response to Widaman and RevelleDaniel McNeish
Behavior Research Methods|April 16, 2026
A primer on intensive longitudinal psychometricsDaniel McNeish
Behavior Research Methods|September 13, 2019
Covariance pattern mixture models: Eliminating random effects to improve convergence and performanceDaniel McNeish, Jeffrey Harring
Behavior Research Methods|February 10, 2025
Reliability representativeness: How well does coefficient alpha summarize reliability across the score distribution?Daniel McNeish, Denis Dumas
Behavior Research Methods|October 26, 2017
Differentiating between mixed-effects and latent-curve approaches to growth modelingDaniel McNeish, Tyler Matta
Behavior Research Methods|April 24, 2020
Thinking twice about sum scoresDaniel McNeish, Melissa Gordon Wolf
Behavior Research Methods|September 2, 2020
Corrigendum to: Thinking twice about sum scoresDaniel McNeish, Melissa Gordon Wolf
Behavior Research Methods|May 18, 2022
Dynamic fit index cutoffs for one-factor modelsDaniel McNeish, Melissa G Wolf
Behavior Research Methods|April 28, 2023
Dynamic structural equation models with binary and ordinal outcomes in MplusDaniel McNeish, Jennifer A Somers, Andrea Savord
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Behavior Research Methods|March 14, 2026
Dynamic measurement invariance cutoffs for longitudinal and dyadic dataDaniel McNeish
Behavior Research Methods|November 17, 2022
Psychometric properties of sum scores and factor scores differ even when their correlation is 0.98: A response to Widaman and RevelleDaniel McNeish
Behavior Research Methods|April 16, 2026
A primer on intensive longitudinal psychometricsDaniel McNeish
Behavior Research Methods|September 13, 2019
Covariance pattern mixture models: Eliminating random effects to improve convergence and performanceDaniel McNeish, Jeffrey Harring
Behavior Research Methods|February 10, 2025
Reliability representativeness: How well does coefficient alpha summarize reliability across the score distribution?Daniel McNeish, Denis Dumas
Behavior Research Methods|October 26, 2017
Differentiating between mixed-effects and latent-curve approaches to growth modelingDaniel McNeish, Tyler Matta
Behavior Research Methods|April 24, 2020
Thinking twice about sum scoresDaniel McNeish, Melissa Gordon Wolf
Behavior Research Methods|September 2, 2020
Corrigendum to: Thinking twice about sum scoresDaniel McNeish, Melissa Gordon Wolf
Behavior Research Methods|May 18, 2022
Dynamic fit index cutoffs for one-factor modelsDaniel McNeish, Melissa G Wolf
Behavior Research Methods|April 28, 2023
Dynamic structural equation models with binary and ordinal outcomes in MplusDaniel McNeish, Jennifer A Somers, Andrea Savord
Pageof 1