Using Structural Equation Modeling to Test for Multidimensionality
By Doris McGartland Rubio, M. Berg-Weger, S. Tebb. 2001
63 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/6d80df60a41c81414390b051c5f17aa1786dc23e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- José I. Rojas‐Méndez
- Elizabeth Silva-Olave
- Isabel Erenchun-Podlech
- Weiyin Hong
- James Y. L. Thong
- G. Kyle
- W. Hammitt
In Management Science and Operations Research
- José I. Rojas‐Méndez
- W. Norman
- Elizabeth Silva-Olave
- Isabel Erenchun-Podlech
- Weiyin Hong
- James Y. L. Thong
- G. Kyle
- W. Hammitt
Citations in the corpus
- The Role of Structural Equation Modeling in Scale Development (2003, background): “Therefore, as others have discussed and demonstrated (Rubio et al., 2001; Velicer et al., 1994), CFA tech- niques can provide additional information about both the dimensionality and appropriate uses of a scale.”
- Internet Privacy Concerns: An Integrated Conceptualization and Four Empirical Studies (2013, methodology): “Such a model is typically included as a baseline model when testing for higher-order models (Rubio et al. 2001).”
- The Ford Brand Personality in Chile (2004, methodology): “Since exploratory factor analysis, which was used by Aaker (1997) to identify facets within the five-dimension scale, does not afford testing models with high-order factors (Rubio et al., 2001), a more appropriate tool such as structural equation modeling (Jöreskog, 1993) was chosen to test the spec”
- A Modified Involvement Scale (2007, background): “Failing this, the measure should be considered multidimensional (Rubio et al., 2001).”