Professor McNeish’s methodological and statistical research focuses on two separate areas: (1) models for clustered, longitudinal, and time-series data and (2) structural equation and measurement modeling. He is a section editor for Multivariate Behavioral Research, an associate editor at Behavior Research Methods, and serves of the editorial boards at Psychological Methods, Organizational Research Methods, and the Routledge Multivariate Applications book series.
McNeish has published nearly 100 peer-review research articles and his research contributions have been acknowledged with several awards including the Distinguished Scientific Award for Early Career Contributions (American Psychological Association, 2023), the Early Career Research Award (Society for Multivariate Experimental Psychology, 2020), Anne Anastasi Early Career Contributions Award (Division 5, American Psychological Association, 2019), the Early Career Award for Statistics (Division D, American Educational Research Association, 2019), and the Rising Star Early Career distinction (Association for Psychological Science, 2018). He was also named as a Highly Cited Researcher in Psychology/Psychiatry by the Institute for Scientific Information/Web of Science for being among the top 1% of cited researchers.
At Arizona State, McNeish teaches graduate-level courses on Multilevel Modeling, Longitudinal Data Analysis, and Computational Statistics.
You can visit his university webpage here.
You can visit his personal webpage here.
Latent Growth Curve Modeling
Thursday, January 18 –
Saturday, January 20, 2024
This course provides an introduction to latent growth curve modeling, a class of models within the structural equation modeling framework that can be used to model change or growth in longitudinal data. The course is intended for those who are...View Details