Module 6. Quantitative Analytic Techniques, Part 1

Training Materials

View Presentation (PPTX, 9.2 MB)

Module Summary

• Overview of study designs and quantitative analytic methods
• Recap of key MLI research aims and questions
• Designs and methods challenges when studying MLIs
• Role of quantitative methods in addressing aims and challenges
• Data collection issues
• Multilevel, hierarchical modeling

Reading Materials

• Belin, T.R., Jones, A., Tang, L., Chung, B., Stockdale, S.E., Jones, F. Pulido, E., Ong., M.K., Gilmore, J., Miranda, J., Dixon, E., Jones, L., Wells, K.B. Maintaining internal validity in community partnered participatory research: Experience from the community partners in care study. Ethnicity and Disease. 2018;28;S2.
• Cleary, P. D., Gross, C. P., Zaslavsky, A. M., & Taplin, S. H. Multilevel interventions: study design and analysis issues. Journal of the National Cancer Institute Monographs, 2012; (44),49-55.
• Harel, O., & Zigler, C. A conversation with Thomas (Tom) R. Belin- 2020 HPSS long-term excellence award winner. Health Services and Outcomes Research Methodology, 2020; 20(4):195-207.
• Spiegelman, D. Evaluating public health interventions: 2. Stepping up to routine public health evaluation with the stepped wedge design. American Journal of Public Health. 2016; 106(3), pp.453-457.
• Spiegelman, D., Rivera-Rodriguez, C.L. and Haneuse, S. Evaluating Public Health Interventions: 3. The Two-Stage Design for Confounding Bias Reduction—Having Your Cake and Eating It Two. American Journal of Public Health. 2016; 106(7), pp.1223-1226.

Web Resources

• Belin, T.R., Statistical issues in the study of cancer-related fatigue (PPT, 168 KB). NCI Symposium 2010.

Self-reflection Questions

• What are the key levels and theories applicable to your project?
• How are these theories used (selected, combined, applied) in designing effective MLIs and in designing and conducting MLI research?