1 / 8

Case Reports

Case Reports. How to avoid anecdotes Prof. Chuck Huff Research Methods with lab, 2014. Overview. What is a case Importance of theory importance of triangulating among data sources , Rival explanations challenge of generalizing from case studies . Administrivia

Download Presentation

Case Reports

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Case Reports How to avoid anecdotes Prof. Chuck Huff Research Methods with lab, 2014

  2. Overview • What is a case • Importance of theory • importance of triangulating among data sources, • Rival explanations • challenge of generalizing from case studies. • Administrivia • Annotated bib due Oct 3(this Friday) at 11:59 PM. Upload it AND your timesheet to the your group’s Google drive folder • Lab Report due next Monday at 11:59 PM

  3. What is a case? • A systematic empirical inquiry • That is rich in detail • About a single thing (person, event, institution, etc.) • That takes process and context into account • It may be, but need not be, exploratory

  4. What kind of case? • Single vs multiple • Same vs different context • Uni-vocal or multi-vocal?

  5. How theory helps • It shapes what cases and contexts you choose • It focuses what you look at (case & context) • It limits what you look at

  6. How to collect data • Direct observation • Interviews • Archival records • Documents (e.g. email) • Participant observation • Can be both quantitative and qualitative

  7. Rival Explanations • Care about them • They need not be rival (exclusive), they can simply be alternative (additional) • Theory and local knowledge help here too. Therefore you need your literature review. • This requires a devil’s advocate approach early on in selection of cases and design of the data collection method.

  8. How to Generalize • Statistical generalization is about expected quantitative values in the population, with confidence limits • Analytical generalization is about using the theoretical framework and findings of the study to establish a logic/story that might be applicable to other situations. • Think creatively about the dimensions on which you want to generalize. • Courage and humility are required.

More Related