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What ‘works’ when retracing sample members in a qualitative longitudinal study?

What ‘works’ when retracing sample members in a qualitative longitudinal study?

Farrall, Stephen, Hunter, Ben, Sharpe, Gilly and Calverley, Adam (2015) What ‘works’ when retracing sample members in a qualitative longitudinal study? Journal International Journal of Social Research Methodology, 19 (3). pp. 287-300. ISSN 1364-5579 (Print), 1464-5300 (Online) (doi:https://doi.org/10.1080/13645579.2014.993839)

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Abstract

Attrition represents a significant obstacle to overcome in any longitudinal research project. It is, perhaps, most keenly felt when the data collected are from a qualitative study, since, unlike quantitative longitudinal research, weighting factors cannot be applied to ‘correct’ for any biases in the achieved sample and even a small number of ‘lost’ respondents can equate to a large percentage of the original sample. It is perhaps because of qualitative longitudinal research’s (QLR) reliance on, generally speaking, smaller samples that few have been able to shed much light on which re-contacting procedures are associated with achieving higher rates of retention. In this article, using data from a fifth sweep of a larger but particularly challenging cohort of 199 former probationers, we explore the strategies which helped us maintain high levels of retention in a QLR study. The article contains many practical suggestions which others planning or undertaking similar studies may find useful.

Item Type: Article
Additional Information: © 2015 The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Uncontrolled Keywords: qualitative longitudinal research (QLR); retention; follow-up studies
Subjects: K Law > KD England and Wales
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Crime, Law and (In) Security
Faculty of Architecture, Computing & Humanities > Department of Law
Related URLs:
Last Modified: 05 Jun 2019 16:23
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 4
URI: http://gala.gre.ac.uk/id/eprint/23828

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