Biased latent variable mean comparisons due to measurement noninvariance. A simulation study
By Alain de Beuckelaer, G. Swinnen. 2018
58 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Social Psychology
View Paper: https://www.semanticscholar.org/paper/34ed7df1f068b25b2fda6a64b5a11e5ab9a28134
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
In Management Science and Operations Research
- Paul E. Spector
- Ekaterina Lytkina
- O. Siu
- M. O’driscoll
- Tammy D. Allen
- A. Zick
- Ulla Kinnunen *
- E. S. Kim
In Social Psychology
Citations in the corpus
- Measurement Invariance of the Satisfaction With Life Scale Across 26 Countries (2017, background): “However, applied researchers need to be aware of criticisms of the partial invariance approach (e.g., De Beuckelaer & Swinnen, 2011), and thorough investigation of the consequences of partial invariance is warranted.”
- Cross-Cultural Validation of Fear of Happiness Scale Across 14 National Groups (2014, background): “Many researchers believe that full measurement invariance is scientifically unrealistic, in particular when the number of groups exceeds two, and the groups are from highly diverse national backgrounds (De Beuckelaer & Swinnen, 2011; Horn, 1991; Torsheim et al., 2012).”
- Testing Measurement Invariance for a Second-Order Factor. A Cross-National Test of the Alienation Scale (2018, methodology): “…this suggestion of implementing the idea of partial invariance on second-order factors is rather new, it requires further exploration using simulation studies that do not only focus on first-order factors (e.g., de Beuckelaer & Swinnen, 2011) but also on partial invariance of second-order factors.”