Daniel McNeish

Affiliations: 
2016-2016 Methodology & Statistics Utrecht University, Utrecht, Netherlands 
 2016-2017 University of North Carolina, Chapel Hill, Chapel Hill, NC 
 2017- Quantitative Psychology Arizona State University, Tempe, AZ, United States 
Area:
Statistics
Google:
"Daniel McNeish"

Parents

Sign in to add mentor
Gregory R. Hancock grad student 2015 University of Maryland
Daniel J. Bauer post-doc 2017 (Neurotree)
Patrick J. Curran post-doc 2017 (Neurotree)
Andrea Hussong post-doc 2017 (Neurotree)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Cole VT, Hussong AM, McNeish DM, et al. (2022) The Role of Social Position Within Peer Groups in Distress-Motivated Smoking Among Adolescents. Journal of Studies On Alcohol and Drugs. 83: 420-429
McNeish D, Harring JR, Bauer DJ. (2022) Nonconvergence, covariance constraints, and class enumeration in growth mixture models. Psychological Methods
McNeish D, Bauer DJ, Dumas D, et al. (2021) Modeling individual differences in the timing of change onset and offset. Psychological Methods
Blake AJ, McNeish D, Chassin L. (2021) Heterogeneity in effects of parent-child separation on young-adult substance use disorder. Journal of Family Psychology : Jfp : Journal of the Division of Family Psychology of the American Psychological Association (Division 43)
McNeish D, Bauer DJ. (2020) Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models. Multivariate Behavioral Research. 1-23
McNeish D, Wolf MG. (2020) Thinking twice about sum scores. Behavior Research Methods
McNeish D, Hamaker EL. (2020) A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. Psychological Methods. 25: 610-635
McNeish D, Harring J. (2020) Covariance pattern mixture models: Eliminating random effects to improve convergence and performance. Behavior Research Methods. 52: 947-979
McNeish D. (2020) Specifying Location-Scale Models for Heterogeneous Variances as Multilevel SEMs: Organizational Research Methods. 109442812091308
McNeish D. (2020) Should We Use F-Tests for Model Fit Instead of Chi-Square in Overidentified Structural Equation Models?: Organizational Research Methods. 23: 487-510
See more...