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Cronenberg, Stephanie; Headley, Marcia Gail – International Journal of Research & Method in Education, 2019
A multiplicity of perspectives and methods are necessary to investigate the complexities of human development and educational institutions. However, many would-be MM researchers still have questions about how to conceptualize and conduct MM research. Taking a dialectic stance, or mixing research approaches to suit the demands of a research…
Descriptors: Mixed Methods Research, Models, Doctoral Dissertations, Doctoral Students
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McChesney, Katrina; Aldridge, Jill – International Journal of Research & Method in Education, 2019
A recurring debate in mixed methods research involves the relationship between research methods and research paradigms. Whereas some scholars appear to assume that qualitative and quantitative research methods each necessarily belong with particular research paradigms, others have called for greater flexibility and have taken a variety of stances…
Descriptors: Mixed Methods Research, Models, Research Design, Data Collection
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Baker-Doyle, Kira J. – International Journal of Research & Method in Education, 2015
Social network research on teachers and schools has risen exponentially in recent years as an innovative method to reveal the role of social networks in education. However, scholars are still exploring ways to incorporate traditional quantitative methods of Social Network Analysis (SNA) with qualitative approaches to social network research. This…
Descriptors: Social Networks, Research Methodology, Qualitative Research, Statistical Analysis
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Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation