Summary
Contents
Subject index
Mary Lynne Derrington’s Qualitative Longitudinal Methods: Researching Implementation and Change addresses the use of the qualitative longitudinal methods, their unique methodological features, and the challenges and benefits to this approach. This short supplemental text uses examples of published studies, and the author’s own stories and examples, to show application of the concepts. A chapter on how to prepare a manuscript for publication concentrates on the distinctive aspects of publishing longitudinal studies. The book will be useful to those researching change and its impact on organizations and individuals resulting from the implementation of programs and policies.
Longitudinal Data Analysis
Longitudinal Data Analysis
In this chapter, the reader will
- explore approaches to data analysis,
- review types of visual representations, and
- examine the importance of considering significant events that researchers experience when conducting qualitative longitudinal studies.
Excellent texts are available on qualitative data analysis. However, this chapter adds the longitudinal perspective by considering analysis issues when a study extends beyond a year, or two data collections, and includes multiple participants.
Approaches to Data Analysis
Analysis involves judgments about how to reduce and organize the large dataset collected in a longitudinal study and to transform the data into meaningful interpretations (Glesne, 2016; Rossman & Rallis, 2012). In approaching my own longitudinal study, I searched for but found little guidance on conducting an analysis involving multiple participants and spanning years. While most ...
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