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The Use and Value of Mixed Methods Research in Social Work
Author(s) -
Josphine Chaumba
Publication year - 2013
Publication title -
advances in social work
Language(s) - English
Resource type - Journals
eISSN - 2331-4125
pISSN - 1527-8565
DOI - 10.18060/1858
Subject(s) - thematic analysis , qualitative research , multimethodology , qualitative property , social work , quantitative research , data collection , work (physics) , value (mathematics) , management science , psychology , data science , sociology , computer science , social science , engineering , political science , mechanical engineering , machine learning , law
The complexity of social problems addressed by the social work profession makes mixed methods research an essential tool. This literature review examined common quantitative and qualitative techniques used by social work researchers and what mixed methods research may add to social work research. Surveys and in-depth interviews were the most common quantitative and qualitative data collection methods, respectively. The t-test was the most frequently used quantitative data analysis method. Although thematic analysis was the most common qualitative data analysis method, 12% of the qualitative data analysis techniques were not specified. Mixed methods research adds three important elements to social work research: voices of participants, comprehensive analyses of phenomena, and enhanced validity of findings. For these reasons, the teaching and use of mixed methods research remain integral to social work.

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