Daniel McNeish

Associate Professor

Associate Professor, CLAS-NS: Psychology

Source: Scopus
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1620 Citations
19 h-Index
57 Article
3 Review article

Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review
Smid, S. C., McNeish, D., Miočević, M. & van de Schoot, R., Jan 2 2020, In: Structural Equation Modeling. 27, 1, p. 131-161 31 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
12 Scopus citations
Covariance pattern mixture models: Eliminating random effects to improve convergence and performance
McNeish, D. & Harring, J., Jun 1 2020, In: Behavior Research Methods. 52, 3, p. 947-979 33 p.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Dynamic measurement: A theoretical–psychometric paradigm for modern educational psychology
Dumas, D., McNeish, D. & Greene, J. A., Apr 2 2020, In: Educational Psychologist. 55, 2, p. 88-105 18 p.
Research output: Contribution to journal › Article › peer-review
5 Scopus citations
Estimating New Quantities from Longitudinal Test Scores to Improve Forecasts of Future Performance
McNeish, D., Dumas, D. G. & Grimm, K. J., 2020, In: Multivariate Behavioral Research. 55, 6, p. 894-909 16 p.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Flexible Treatment of Time-Varying Covariates with Time Unstructured Data
McNeish, D. & Matta, T. H., Mar 3 2020, In: Structural Equation Modeling. 27, 2, p. 298-317 20 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations

2 Active

Addressing Small Sample and Computational Issues in Mixture Models of Repeated Measures Data with Covariance Pattern Mixture Models
McNeish, D. & Grimm, K.
US Department of Education (DOEd)
8/1/19 → 7/31/21
Project: Research project
Years 4-5 Applying Novel Technologies and Methods to Inform the Ontology of Self-regulation
Mackinnon, D. & McNeish, D.
HHS: National Institutes of Health (NIH)
9/15/18 → 8/31/21
Project: Research project

Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review

Covariance pattern mixture models: Eliminating random effects to improve convergence and performance

Dynamic measurement: A theoretical–psychometric paradigm for modern educational psychology

Estimating New Quantities from Longitudinal Test Scores to Improve Forecasts of Future Performance

Flexible Treatment of Time-Varying Covariates with Time Unstructured Data

Addressing Small Sample and Computational Issues in Mixture Models of Repeated Measures Data with Covariance Pattern Mixture Models

Years 4-5 Applying Novel Technologies and Methods to Inform the Ontology of Self-regulation