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    Mixed-methods research: What’s in it for economists?

    212947_212947.pdf (301.1Kb)
    Access Status
    Open access
    Authors
    Jefferson, Therese
    Austen, Siobhan
    Sharp, R.
    Ong, Rachel
    Lewin, Gill
    Adams, V.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Jefferson, T. and Austen, S. and Sharp, R. and Ong, R. and Lewin, G. and Adams, V. 2014. Mixed-methods research: What’s in it for economists? The Economic and Labour Relations Review. 25 (2): pp. 290-305.
    Source Title
    The Economic and Labour Relations Review
    DOI
    10.1177/1035304614530819
    ISSN
    1035-3046
    School
    Curtin Graduate School of Business
    URI
    http://hdl.handle.net/20.500.11937/25848
    Collection
    • Curtin Research Publications
    Abstract

    Empirical studies in economics traditionally use a limited range of methods, usually based on particular types of regression analysis. Increasingly, sophisticated regression techniques require the availability of appropriate data sets, often longitudinal and typically collected at a national level. This raises challenges for researchers seeking to investigate issues requiring data that are not typically included in regular large-scale data. It also raises questions of the adequacy of relying mainly or solely on regression analysis for investigating key issues of economic theory and policy. One way of addressing these issues is to employ a mixed-methods research framework to investigate important research questions. In this article, we provide an example of applying a mixed-methods design to investigate the employment decisions of mature age women working in the aged care sector. We outline the use of a coherent and robust framework to allow the integrated collection and analysis of quantitative and qualitative data. Drawing on particular examples from our analysis, we show how a mixed-methods approach facilitates richer insights, more finely grained understandings of causal relationships and identification of emergent issues. We conclude that mixed-methods research has the capacity to provide surprises and generate new insights through detailed exploratory data analysis.

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