Developing and using matrix methods for analysis of large longitudinal qualitative datasets in out-of-home-care research

David Hodgson, Reinie Cordier*, Lauren Parsons, Bronte Walter, Fadzai Chikwava, Lynelle Watts, Stian Thoresen, Matthew Martinez, Donna Chung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
30 Downloads (Pure)

Abstract

Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of large-N interview data. The paper articulates the theoretical and conceptual underpinnings of the matrix analysis tool and how it was developed and applied in a longitudinal mixed methods out-of-home-care research study. Specific illustrations and examples of data integration and data analysis are provided to demonstrate the benefits and potentials of constructing matrix tools to guide research teams when working with large qualitative data sets alone or in combination with quantitative data sets.
Original languageEnglish
Pages (from-to)235-248
Number of pages14
JournalInternational Journal of Social Research Methodology
Volume27
Issue number2
Early online date20 Dec 2022
DOIs
Publication statusPublished - 3 Mar 2024

Keywords

  • Out-of-home-care
  • longitudinal design
  • methodology
  • qualitative analysis

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