Courses

Three-Credit Online Graduate Course (January 2018)

This class will examine quantitative synthesis including research questions, search strategies, coding issues, meta-analysis statistical procedures, and interpretation of findings. There will be an emphasis on conceptual understanding and practical methods.

For additional information, please email Dr. Lorraine Phillips at phillipslo@missouri.edu

Faculty

Vicki S. Conn, PhD, RN, FAAN
Director, Meta-Analysis Research Center; Associate Dean for Research; Potter-Brinton Distinguished Professor; Editor-In-Chief, Western Journal of Nursing Research
Dr. Conn has conducted three NIH R01 funded meta-analysis projects and published over 40 meta-analysis papers.

Lorraine J. Phillips, PhD, RN, FAAN
Associate Director, Meta-Analysis Research Center; Associate Professor
Dr. Phillips conducts meta-analysis research on physical activity interventions for older adults.

Todd M. Ruppar, PhD, RN, FAHA
Associate Director, Meta-Analysis Research Center; Associate Professor
Dr. Ruppar conducts meta-analysis research on medication adherence and chronic disease self-management. He has led meta-analysis projects funded by the PhRMA Foundation and the Robert Wood Johnson Foundation.

Jo-Ana D. Chase, PhD, APRN-BC
Assistant Professor
Dr. Chase conducts meta-analysis research on physical activity intervention effects among older adults.

Faculty Research

 

Meta-Analysis Summer Institute (June 2019)

Systematic reviews using meta-analyses are highly valued for comparative effectiveness research and evidence-based practice. This on-site institute provides a practical introduction to meta-analysis methods for learners who have previously completed multiple graduate-level statistics courses. Learners will experience the meta-analysis process during face-to-face interactions with experienced meta-analysts and leave the institute prepared to conduct a meta-analysis project.

Topical Highlights
  • Formulating meta-analysis research questions
  • Developing inclusion criteria
  • Searching for eligible studies
  • Generating and implementing coding items
  • Analyzing data
  • Interpreting findings
  • Drafting meta-analysis research reports

Previous MARC Training Opportunities