Handbook of Qualitative Research Methods on Human Resource Management
Show Less

Handbook of Qualitative Research Methods on Human Resource Management

Innovative Techniques

Edited by Keith Townsend, Rebecca Loudoun and David Lewin

This Handbook explores the opportunities and challenges of new technologies for innovating data collection and data analysis in the context of human resource management. Written by some of the world’s leading researchers in their field, it comprehensively explores modern qualitative research methods from good project design, to innovations in data sources and data collection methods and, finally, to best-practice in data analysis.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 3: Anchoring qualitative methods for longitudinal studies

Rebecca Loudoun and Keith Townsend


This chapter details an innovative research methods approach to measuring change in experiences at work over multiple time periods and worksites. Using a recent research project in a large public sector organisation we describe a longitudinal study where baseline qualitative, interview data were “anchored” in such a way that subsequent changes in responses could be tracked over time at an individual and an aggregate level. While qualitative research is generally considered the superior option for exploring “how” rather than “how many” questions, and for understanding phenomena from the perspectives of those being studied (Pratt, 2009), deliberate strategies need to be used when trying to evaluate changes in people’s experiences over time. Significant technological developments have occurred, with digital recorders, ubiquitous desktop and notebook computers, transcription or voice recognition software, computer-aided qualitative data analysis software (for example, NVivo) all becoming readily available to support the qualitative researcher. Despite this, qualitative research does not lend itself naturally to easy comparison over different time periods.

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.