2014Journal of Mixed Methods ResearchRequires access

Points of Convergence in Music Education

Kate R. Fitzpatrick

Open publisher page 20 citations

Abstract

Although the mixing of quantitative and qualitative data is an essential component of mixed methods research, the process of integrating both types of data in meaningful ways can be challenging. The purpose of this article is to describe the use of data labels in mixed methods research as a technique for the integration of qualitative and quantitative data within equivalent-status mixed methods research designs. The music education study described utilized a combination of focus group, survey, and case study data to provide a fuller view of instrumental music teaching within the urban context. Using this study as an exemplar, the author discusses the application of data labels to points of convergence between qualitative and quantitative strands of mixed methods studies in order to achieve integration between both data sets.

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What this paper is about

Although the mixing of quantitative and qualitative data is an essential component of mixed methods research, the process of integrating both types of data in meaningful ways can be challenging. The purpose of this article is to describe the use of data labels in mixed methods research as a technique for the integration of qualitative and quantitative data within equivalent-status mixed methods research designs. The music education study described utilized a combination of focus group, survey, and case study data to provide a fuller view of instrumental music teaching within the urban context. Using this study as an exemplar, the author discusses the application of data labels to points of convergence between qualitative and quantitative strands of mixed methods studies in order to achieve integration between both data sets.

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OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Although the mixing of quantitative and qualitative data is an essential component of mixed methods research, the process of integrating both types of data in meaningful ways can be challenging. The purpose of this article is to describe the use of data labels in mixed methods research as a technique for the integration of qualitative and quantitative data within equivalent-status mixed methods research designs. The music education study described utilized a combination of focus group, survey, and case study data to provide a fuller view of instrumental music teaching within the urban context. Using this study as an exemplar, the author discusses the application of data labels to points of convergence between qualitative and quantitative strands of mixed methods studies in order to achieve integration between both data sets.

Key concepts: Multimethodology, Qualitative property, Computer science, Convergence (economics), Context (archaeology), Quantitative research, Qualitative research, Process (computing)

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