- Understand these concepts, their connections, and their roles in research design (Meier et al., 2014; Shoemaker et al., 2003):
- theory, concept, assumption
- theoretical/operational definition
- hypothesis, variables
- Criteria for causation (Meier et al., 2014)
- Tidy vs. messy data (Wickham, 2014)
- Unit of analysis, level of analysis, and observation (lecture)
- Good data management practices (Gentzkow & Shapiro, 2014)
SKIP the following sections in MBB: Research design, experimental designs of research, Quasi-experimental designs of research, research designs and validity.
- Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Research Design. In Applied Statistics for Public and Nonprofit Administration.
- Shoemaker, P. J., Tankard, J. W., & Lasorsa, D. L. (2003). Theoretical Statements Relating Two Variables. In How to Build Social Science Theories. SAGE Publications.
- Wickham, H. (2014). Tidy Data. The Journal of Statistical Software, 59(10).
- Shoemaker, P. J., Tankard, J. W., & Lasorsa, D. L. (2003). Theoretical and Operational Linkages. In How to Build Social Science Theories. SAGE Publications.
- Shoemaker, P. J., Tankard, J. W., & Lasorsa, D. L. (2003). Theoretical Statements Relating Three Variables. In How to Build Social Science Theories. SAGE Publications.
- Ruane, J. M. (2016). Designing Ideas: What Do We Want to Know and How Can We Get There? In Introducing Social Research Methods: Essentials for Getting the Edge (pp. 67–92). John Wiley & Sons Inc.
- Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., & Teal, T. K. (2017). Good Enough Practices in Scientific Computing. PLOS Computational Biology, 13(6), e1005510. https://doi.org/10.1371/journal.pcbi.1005510
- Lecture on key concepts and frameworks.
- Group discussion on reading materials.
- Review the progress of learning plan and replication project.
Learning plan proposal (draft; n.g.) due this Friday.