Reading materials | Log reading progress ("reading_log")

Key concepts




Before class


Required readings

SKIP the following sections in MBB: Research design, experimental designs of research, Quasi-experimental designs of research, research designs and validity.

  1. Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Research Design. In Applied Statistics for Public and Nonprofit Administration.
  2. Shoemaker, P. J., Tankard, J. W., & Lasorsa, D. L. (2003). Theoretical Statements Relating Two Variables. In How to Build Social Science Theories. SAGE Publications.
  3. Wickham, H. (2014). Tidy Data. The Journal of Statistical Software, 59(10).
  4. Gentzkow, M., & Shapiro, J. M. (2014). Code and Data for the Social Sciences: A Practitioner’s Guide.

Recommended

  • 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

In class


  • Lecture on key concepts and frameworks.
  • Group discussion on reading materials.
  • Review the progress of learning plan and replication project.

After class


Learning plan proposal (draft; n.g.) due this Friday.