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Oklahoma State University

Modeling Within-Person Associations in Longitudinal Data (3rd Annual OSU Statistics Workshop)

May 14 and 15, 2018
8:30 a.m. - 4:30 p.m.
Oklahoma State University (Stillwater, OK)
001 Business Building

Register Now!

Topics and Subtopics:

  • Review of Concepts and Terminology in Longitudinal Modeling
    • Fixed and Random Effects of Time
    • Time-Invariant Predictors
  • Univariate Modeling of Time-Varying Predictors
    • Between- and Within-Person Effects Through Person-Mean-Centering
    • Contextual Effects Through Grand-Mean-Centering
  • Multivariate (Cross-Lag and Mediation) Modeling of Time-Varying Predictors
    • Using Multivariate Multilevel Modeling
    • Using Structural Equation Modeling

Presenter: Dr. Lesa Hoffman

Lesa Hoffman

 

Brief Biosketch: 

Dr. Lesa Hoffman is Associate Scientist in the Research Design and Analysis Unit of the Lifespan Institute and Associate Professor of Quantitative Methods in the Child Language Doctoral Program at the University of Kansas. Her program of research seeks to empirically examine and to thoughtfully disseminate how developments in quantitative methods can best be utilized to advance empirical work in psychology, human development, and other social sciences. She teaches graduate courses and intensive workshops on advanced quantitative methods and in 2015 published the textbook Longitudinal Analysis: Modeling Within-Person Fluctuation and Change (Routledge). Please visit her website for more information about her research and teaching: http://www.lesahoffman.com.

Intended Audience:

This workshop is intended for social scientists who collect and analyze longitudinal data. It will be most useful for those who are well-acquainted with general linear models (regression, ANOVA), and have at least some familiarity with longitudinal data analysis through multilevel modeling or structural equation modeling. Examples will utilize Mplus software. To prepare, it would be helpful to review two-level models of occasions nested within persons that contain fixed and random effects of time, as well as time-invariant predictors (i.e., as covered in chapters 1–7 of Lesa Hoffman’s textbook). The workshop will build on this foundation by presenting univariate and multivariate models for time-varying predictors (i.e., as covered in chapters 8–9, as well as in additional sources). A suggested reading list will be provided along with the course materials.

Sponsor:

This workshop is hosted by the OSU Statistics & Methodology Network and supported by resources from the OSU Department of Human Development and Family Science and the Spears School of Business.