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Direct linkHeadley, 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
Kaczmarczyk, Pawel; Salamonska, Justyna – Journal of Mixed Methods Research, 2018
This article addresses ethnosurvey methodology, a combination of ethnographic and survey research in migrant origin and destination countries, that is designed to elucidate a better understanding of the multiple facets of migration processes. First, the article reviews the utility of ethnosurvey methodology for researching contemporary migration.…
Descriptors: Immigration, Surveys, Foreign Countries, Ethnography
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
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
