Maintaining high quality of data over time in longitudinal research
Smith, C. (2017) ‘Longitudinal research: Transition of adult basic education students to college’, SAGE Research Methods Cases. doi:10.4135/9781526406040
This case study highlights the author’s efforts to secure the quality of data in a longitudinal study. The author discusses three principle challenges: (1) to get the data, (2) get high-quality data and (3) to keep the data organized. The example comes from studying students’ transition to college.
- What type of strategies would you use to keep track of participants in your study if it was a longitudinal study?
- Which threads do you see for the quality of data and analysis in such a study?
Feeding back research with systematic reviews
Virdun, C., Luckett, T., Lorenz, K., Davidson, P., and Phillips, J. (2017) ‘Analyzing consumer priorities for hospital end-of-life care using a systematic review to inform policy and practice,’ SAGE Research Methods Cases. doi:10.4135/9781526424884
This case study presents and discusses an approach to summarize research findings in a way that they can be used for informing audiences from policy and practice and aiming at making impact with research.
- How far is the single research study still visible and identifiable in such a systematic review?
- How far will readers in policy and practice contexts struggle with understanding such a review?