The Summer Institute on Research Methodology will be held July 13-15, 2010 on the Oregon State University campus, hosted by the College of Health and Human Sciences (HHS). Research methodology is central to the health and human sciences. The complexity of developmental, social, and health processes require rigorous attention to measurement, sampling, design, and statistical analysis.
Introductory and advanced coursework using Mplus and Stata will be offered during the Institute. Participants are expected to be comfortable with multiple regression and have some familiarity with factor analysis. No knowledge of Mplus or Stata is assumed. These two courses can be taken independently or combined. Applied examples will be used throughout the workshops, with hands-on analysis experience.
Mplus and Longitudinal Modeling Using Mplus Day one - No background using Mplus or any other SEM package is necessary. This first day will introduce Mplus and cover exploratory factor analysis, confirmatory factor analysis, structural equation modeling, and Latent Class/Latent Profile analysis.
Day two – Introduction to growth curves and use with time invariant and time varying covariates. Growth mixture modeling will be introduced. This workshop will also introduce growth curves with binary and count variables.
Those who are not interested in growth curves may choose to register for day one only. Those who have a background in Mplus and are interested in growth curves only may elect to register just the second day.
Multilevel & Longitudinal Models using Stata
Multilevel and Longitudinal Modeling has become the new entry point for major research projects. Stata offers exceptional capabilities for this type of analysis and is much simpler to use than most of the alternative software. This one day workshop assumes no background in Stata. From 8-9:30 we will introduce Stata. The rest of the day we will introduce multilevel and longitudinal modeling using Stata. This will include model estimation commands and graphics commands. We will also introduce these applications when the data is categorical.
Please refer all questions about the agenda/program to:
Anne Hatley
anne.hatley@oregonstate.edu
|