A Systematic Methodological Review of Hierarchical Linear Modeling in Mixed Methods Research

Autor/inn/en	Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S.
Titel	A Systematic Methodological Review of Hierarchical Linear Modeling in Mixed Methods Research
Quelle	In: Journal of Mixed Methods Research, 15 (2021) 2, S.190-211 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Bash, Kirstie L.) ORCID (Howell Smith, Michelle C.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1558-6898
DOI	10.1177/1558689820937882
Schlagwörter	Hierarchical Linear Modeling; Mixed Methods Research; Research Design; Statistical Analysis; Educational Research; Periodicals; Foreign Countries; Intellectual Disciplines; Social Sciences; Health; Tourism; Nonprofit Organizations; Sample Size; Research Problems; United States; United Kingdom; Canada; Italy; Australia; China; New Zealand; Netherlands + Suchen Sie Ihr Suchwort? Forschungsdesign; Statistische Analyse; Bildungsforschung; Pädagogische Forschung; Periodical; Journal; Zeitschrift; Fachzeitschrift; Periodikum; Ausland; Geisteswissenschaften; Social science; Sozialwissenschaften; Gesellschaftswissenschaften; Gesundheit; Tourismus; Nonprofit-Organisation; Forschungskritik; USA; Großbritannien; Kanada; Italien; Australien; Neuseeland; Niederlande
Abstract	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 examines the role of hierarchical linear modeling in mixed methods research with emphasis on design choice, priority, and rationales. The results from this systematic methodological review suggest that hierarchical linear modeling does not overshadow the contributions of the qualitative strand. Our study contributes to the field of mixed methods research by offering recommendations for the use of hierarchical linear modeling as the quantitative strand in mixed methods studies. (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01