Statistical Methods Seminar Description
Overview: After engaging in this statistics training institute seminar lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:
- Estimate, test, and interpret mediated (i.e., indirect) effects using OLS regression.
- Estimate, test, and interpret moderated (i.e., interaction) effects using OLS regression.
- Combine mediation and moderation models to test conditional indirect effects.
- Use a freely available macro (PROCESS) for SPSS and SAS to test these models.
Participants will also complete the seminar with a foundation for future learning about mediation and moderation and knowledge about available resources to guide such endeavors.
Instructor: Mwarumba Mwavita Ph.D.
Mwarumba Mwavita is the Director of the Center for Educational Research and Evaluation (CERE) at Oklahoma State University. In addition, he is an Assistant Professor in the Research, Evaluation, Measurement and Statistics (REMS) program in the School of Educational Studies (SES). He received his Bachelor’s Degree in Physics and Education at Kenyatta University, Master’s at University of Central Oklahoma, and Ph.D. in Research, Evaluation, Measurement, and Statistics from Oklahoma State University in 2005. He teaches general linear model (ANOVA, Regression, Multivariate), Mixed Models, and Program Evaluation seminars.
Software and Computer Support
Participants need to bring a laptop computer with Wi-Fi capabilities.
All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.
Instruction will be provided for the methods using the most current version of the PROCESS macro (processmacro.org). PROCESS is freely available as a macro for SPSS and SAS. SPSS and SAS are available for Windows, Mac, and Linux environments.
We shall use SPSS software for this seminar.
This seminar will be helpful for researchers in any field—including psychology, sociology, education, business, human development, political science, public health, communication—and others who want to learn how to apply the latest methods in moderation and mediation analysis using freely-available R software. Participants should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference.
- Intermediate proficiency in multiple linear regression
- Intermediate proficiency with at least once statistical software package (knowledge of SPSS or SAS are preferred, but not required).
- At least limited experience using syntax with statistical software.
Not required but advantageous:
- At least limited experience (e.g., graduate-level seminar) with multivariate data analysis.
- At least limited experience (e.g., graduate-level seminar) with investigating interactions (in r multiple linear regression or ANOVA)
No level of proficiency beyond basic awareness is assumed for skills related to:
- Mediation and moderation
- Advanced statistical techniques such as SEM, MLM, or logistic regression.
- Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.
Seminar files will be emailed to participants on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.