Evaluating Mixed Methods Research Integration Quality in Three Top Journals of Higher Education.

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Title: Evaluating Mixed Methods Research Integration Quality in Three Top Journals of Higher Education.
Authors: Yi Zhou1 1045180219@qq.com, Yuchun Zhou2, Lijing Yang3, Shouhua Yu4
Source: International Journal of Multiple Research Approaches. 2020, Vol. 12 Issue 3, p304-318. 15p.
Subject Terms: *Research methodology, *Masters programs (Higher education), Medical research evaluation, Confidence intervals, Serial publications, Systematic reviews, Descriptive statistics, Odds ratio
Abstract: Mixed methods research (MMR) has been adopted in a variety of disciplines, including health science, social studies, psychology, early childhood, and business. More recently, higher education researchers adopted this methodology, but with limited evaluation on the quality of published mixed methods research. To enhance researchers' understanding of using MMR, we developed a 4-dimension codebook and reviewed 14 recently published mixed methods research articles that were published in 3 top journals in higher education. We found that researchers used 3 effective strategies to approach integration: (a) using a mixed methods research question to guide the mixed methods (MM) design, (b) using effective mixed methods sampling strategies to collect different types of data for the purpose of integration, and (c) using mixing techniques to interpret results for optimal maximum integration. Apart from the 3 effective integration strategies, a few insufficiencies have been singled out: (a) infrequent use of MM terminologies in the article title, (b) limited familiarity with MM data mixing strategies, and (c) non-optimal reporting of MM results. At the end, we synthesized the useful integration strategies and developed a checklist for higher education researchers to design high-quality mixed methods research studies. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Multiple Research Approaches is the property of Dialectical Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Multiple+Research+Approaches%22">International Journal of Multiple Research Approaches</searchLink>. 2020, Vol. 12 Issue 3, p304-318. 15p.
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  Data: *<searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br />*<searchLink fieldCode="DE" term="%22Masters+programs+%28Higher+education%29%22">Masters programs (Higher education)</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research+evaluation%22">Medical research evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Serial+publications%22">Serial publications</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink>
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  Data: Mixed methods research (MMR) has been adopted in a variety of disciplines, including health science, social studies, psychology, early childhood, and business. More recently, higher education researchers adopted this methodology, but with limited evaluation on the quality of published mixed methods research. To enhance researchers' understanding of using MMR, we developed a 4-dimension codebook and reviewed 14 recently published mixed methods research articles that were published in 3 top journals in higher education. We found that researchers used 3 effective strategies to approach integration: (a) using a mixed methods research question to guide the mixed methods (MM) design, (b) using effective mixed methods sampling strategies to collect different types of data for the purpose of integration, and (c) using mixing techniques to interpret results for optimal maximum integration. Apart from the 3 effective integration strategies, a few insufficiencies have been singled out: (a) infrequent use of MM terminologies in the article title, (b) limited familiarity with MM data mixing strategies, and (c) non-optimal reporting of MM results. At the end, we synthesized the useful integration strategies and developed a checklist for higher education researchers to design high-quality mixed methods research studies. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Multiple Research Approaches is the property of Dialectical Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.29034/ijmra.v12n3a2
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 304
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      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Masters programs (Higher education)
        Type: general
      – SubjectFull: Medical research evaluation
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Serial publications
        Type: general
      – SubjectFull: Systematic reviews
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Odds ratio
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      – TitleFull: Evaluating Mixed Methods Research Integration Quality in Three Top Journals of Higher Education.
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            NameFull: Yi Zhou
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            NameFull: Yuchun Zhou
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            NameFull: Lijing Yang
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              M: 09
              Text: 2020
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              Y: 2020
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