This year we are not going to hold a Summer Institute on Research Methodology at Oregon State University. Please check back in early 2013 for details of our next Summer Institute. We hope to see you then! If you have any questions, please contact Rena Thayer at rena.thayer@oregonstate.edu.

The Oregon State University Summer Institute on Research Methodology is sponsored by the College of Health and Human Sciences Methodology Core and the Center for Healthy Aging Research.This year’s seminars will be held in the Autzen Classroom at the Oregon State University Valley Library. The Valley Library is in the heart of the OSU campus. (Click here for Interactive Map.)

Introductory and advanced coursework using Mplus and Stata will be offered during the Institute. Participants in the Stata session are expected to be comfortable with multiple regression and participants in the Mplus session should also 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 computer analysis experience.

Stata & Multilevel/Longitudinal Models using Stata
Day one –No background using Stata is necessary. The Stata package will be introduced. This session includes an introduction to data management using Stata. A brief review of using Stata for statistical analysis and graphic presentations through regression analysis with continuous, binary, categorical, and count outcome variables will be presented. An introduction to multiple imputation will conclude the session.

Day two –Multilevel and Longitudinal Modeling have 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 will include model estimation commands and graphics commands. We will also introduce these applications when the data are categorical.
*Those who have a background in Stata and are interested in multilevel analysis/longitudinal analysis may elect to register for just the second day.

Mplus and Longitudinal Modeling Using Mplus
Day three –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 an introduction to growth curves.

Day four –– Growth curves with time invariant and time varying covariates will be presented, as well as growth mixture modeling. The second day will cover concurrent and longitudinal multilevel analysis using Mplus, including diagnostic analyses, Maximum Likelihood and Bayesian estimators, and effect sizes.
*Those who have a background in Mplus and are interested in advanced applications of growth curves and multilevel analysis may elect to register just the second day.