Dalka, R.
, Sachmpazidi, D.
, Henderson, C.
and Zwolak, J.
(2022),
Network analysis approach to Likert-style surveys, Physical Review Physics Education Research, [online], https://doi.org/10.1103/PhysRevPhysEducRes.18.020113, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934212
(Accessed March 13, 2025)
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Network analysis approach to Likert-style surveys
Published
Author(s)
Robert Dalka, Diana Sachmpazidi, Charles Henderson,
Abstract
Likert-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.Citation
Physical Review Physics Education Research
Volume
18
Issue
2
Pub Type
Journals
Keywords
network analysis, clustering, network modularity
Citation
Issues
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Created September 2, 2022, Updated November 29, 2022