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Headley, Marcia Gail; Plano Clark, Vicki L. – Journal of Mixed Methods Research, 2020
Many research problems in social science involve multilevel phenomena. However, discussions about multilevel research designs are limited in the mixed methods (MM) literature. Building on early writings in the field, this methodological discussion advances a refined definition of a multilevel MM research design. The refinement emerges from a…
Descriptors: Mixed Methods Research, Research Design, Hierarchical Linear Modeling, Educational Research
Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical Analysis
Schoonenboom, Judith – Journal of Mixed Methods Research, 2016
Educational innovations often involve intact subgroups, such as school classes or university departments. In small-scale educational evaluation research, typically involving 1 to 20 subgroups, differences among these subgroups are often neglected. This article presents a mixed method from a qualitative perspective, in which differences among…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Differences, Groups
Nielsen, Karina; Randall, Raymond; Christensen, Karl B. – Journal of Mixed Methods Research, 2017
A mixed methods approach was applied to examine the effects of a naturally occurring teamwork intervention supported with training. The first objective was to integrate qualitative process evaluation and quantitative effect evaluation to examine "how" and "why" the training influence intervention outcomes. The intervention (N =…
Descriptors: Teamwork, Training, Quasiexperimental Design, Mixed Methods Research