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Nonlinear Unidimensionality in Communication Science: Tests, Examples, and Implications.
- Source :
- Communication Research Reports; 2019, Vol. 36 Issue 1, p67-77, 11p, 2 Graphs
- Publication Year :
- 2019
-
Abstract
- The ability to evaluate predictions and theories hinges on accurate, error-free measurement. As a result, communication scientists seek both highly valid and highly reliable measures. Regarding validity claims, specifically, a hypothesis of content validity is typically tested via factor analysis. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) assume a linear relationship between indicators and the underlying construct. Thus, EFA and CFA miss instances of nonlinear unidimensionality, such as those encountered when a scale forms a Guttman Simplex. Given that such a measurement model is not uncommon and is difficult to detect, this article presents a method for testing the hypothesis of content validity when this kind of nonlinear relationship exists between scale items and the construct. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08824096
- Volume :
- 36
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Communication Research Reports
- Publication Type :
- Academic Journal
- Accession number :
- 134345927
- Full Text :
- https://doi.org/10.1080/08824096.2018.1555524