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Autor/inn/enDalka, Robert P.; Sachmpazidi, Diana; Henderson, Charles; Zwolak, Justyna P.
TitelNetwork Analysis Approach to Likert-Style Surveys
QuelleIn: Physical Review Physics Education Research, 18 (2022) 2, Artikel 020113 (15 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Dalka, Robert P.)
ORCID (Zwolak, Justyna P.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
SchlagwörterNetwork Analysis; Likert Scales; Student Experience; Comparative Analysis; Measures (Individuals); Factor Analysis; Student Attitudes; Student Surveys; Visual Aids; Item Analysis
AbstractLikert-style surveys are a widely used research instrument to assess respondents' preferences, beliefs, or experiences. In this paper, we propose and demonstrate how network analysis (NA) can be employed to model and evaluate the interconnectedness of items in Likert-style surveys. We explore the advantages of this approach by applying the methodology to the aspects of student experience scale datasets and compare the results to the principal component analysis. We successfully create a meaningful network based on survey item response similarity and use modular analysis of the network to identify larger themes built from the connections of particular aspects. The modular NA of the network of survey items identifies important themes that highlight differences in students' overall experiences. Our network analysis for Likert-style surveys methodology is widely applicable and provides a new way to investigate phenomena assessed by Likert-style surveys. (As Provided).
AnmerkungenAmerican Physical Society. One Physics Ellipse 4th Floor, College Park, MD 20740-3844. Tel: 301-209-3200; Fax: 301-209-0865; e-mail: assocpub@aps.org; Web site: http://prst-per.aps.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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