The Reliability Paradox in Assessing Structural Relations Within Covariance Structure Models
By G. R. Hancock, R. Mueller. 2011
120 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/53d6c1690265df617dd33ebc94cdc76fbf97777d
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
- Dexin Shi
- Taehun Lee
- Albert Maydeu-Olivares
- Alexander Robitzsch
- Daniel A. Sass
- Holmes Finch
- Li Cai
- S. Monroe
In Statistics and Probability
- Dexin Shi
- Taehun Lee
- Albert Maydeu-Olivares
- Daniel A. Sass
- Alexander Robitzsch
- Holmes Finch
- Li Cai
- Harry Joe
Citations in the corpus
- Understanding the Model Size Effect on SEM Fit Indices (2018, methodology): “Methodologists have shown that for a given level of model misspecification, poor measurement quality is associated with better model fit (i.e., the reliability paradox; see Hancock & Mueller, 2011).”