Graduate Study in Applied Quantitative Psychology

Graduate Study in Applied Quantitative Psychology


Main Contact: Jason Newsom
Email: newsomj@pdx.edu
Phone: (503) 725-5136

Area Description and Program Goals

Quantitative psychology focuses on the use, development, and teaching of advanced statistical methods for social and behavioral research. The integration of sophisticated analytic methods and technical computing with social and behavioral research remains a highly sought after profile for applied researchers, both in the public and private sectors. The program at Portland State University is designed to develop students technical acumen while also cultivating an appreciation and familiarity with substantive issues in Psychology.

Applied Quantitative Psychology

The program at Portland State University offers training in Applied Quantitative Psychology which emphasizes the development of skills related to various aspects of data from applied research, spanning design, collection, entry, validation, visualization, exploration, and modeling. Students receive training in technical and theoretical aspects of data analysis with particular emphasis on the use of modern standard and modern topics in statistical analysis, including structural equation modeling, hierarchical linear modeling, psychometrics, longitudinal analyses, and meta-analysis. Computer application with conventional and open-source software is an important component of student learning. 

Students will work toward contributing to applied problems through the appropriate use, integration, and development of analytic techniques and tools needed in Psychological science. Students are required and have a variety of opportunities to  gain experience with applied psychological research from among the four substantive areas available in the department: Community Psychology, Developmental Psychology, Industrial-Organizational Psychology, and Social Psychology. 

Core Faculty

Todd Bodner, Ph.D. (Quantitative)
    Focus:  Field experiments, measurement, meta-analysis
Jason Newsom, Ph.D. (Quantitative)
    Focus: structural equation modeling, multilevel models, longitudinal analysis 
Joel Steele, Ph.D. (Quantitative & Applied Developmental)
    Focus: longitudinal analysis, dynamic systems modeling, statistica computing
Liu-Qin Yang, Ph.D. (IO & Quantitative)
    Focus: Measurement, multilevel analysis, survey design, daily diary methods

Graduate Seminars focusing on Applied Quantitative Psychology

PSY 5/621 Univariate Quantitative Methods
PSY 5/622 Multiple Regression and Multivariate Methods
PSY 5/624 Research Design in Applied Psychology

Examples of quantitative electives available in the curriculum

PSY 5/610 HLM for Longitudinal Data Analysis
PSY 5/610 SEM for Longitudinal Data Analysis
PSY 5/610 Introduction to Statistical Computing with R
PSY 5/623 Structural Equation Modeling
PSY 5/626 Multilevel Regression Modeling
PSY 5/625 Categorical Data Analysis
PSY 5/695 Psychological Measurement
 

Websites with more information about Quantitative Psychology

APA
   https://www.apa.org/ed/precollege/psn/2016/01/quantitative-psychology.aspx
   https://www.apa.org/action/science/quantitative/index.aspx

SMEP
   https://smep.org/general-information/about-smep