Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data
By Dexin Shi, C. Distefano, Heather L. McDaniel, Zhehan Jiang. 2018
81 citations recorded by the source corpus.
Subfields: Food Science, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1c4bf97ae4df23d62215b1f6b64471ab46f766a2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
In Management Science and Operations Research
- Dexin Shi
- Yves Rosseel
- Albert Maydeu-Olivares
- Alexander Robitzsch
- Daniel A. Sass
- Holmes Finch
- Li Cai
- Chuanji Gao
In Statistics and Probability
- Dexin Shi
- Yves Rosseel
- Albert Maydeu-Olivares
- Daniel A. Sass
- Alexander Robitzsch
- Holmes Finch
- Li Cai
- Harry Joe
Citations in the corpus
- Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA (2020, background): “Under correctly specified models, Shi et al. (2018) found that the empirical mean ofX 2ULSMV was generally close to the theoretical value (df), but that the empirical variance of X 2ULSMV severely underestimated the theoretical value (i.e., smaller than 2df).”