A General Family of Limited Information Goodness-of-Fit Statistics for Multinomial Data
By Harry Joe, Albert Maydeu-Olivares. 2010
62 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9cbae89cbc5d80fab551c2f09a515fc0710137f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Li Cai
- Yang Liu
- S. Monroe
- Albert Maydeu-Olivares
- Colleen R. O’Neal
- S. Reise
- Dexin Shi
- Alexander Robitzsch
Citations in the corpus
- Local Dependence Diagnostics in IRT Modeling of Binary Data (2013, methodology): “It can be checked that the transformation matrix TR2, jk satisfies conditions T and D of Joe and Maydeu-Olivares (2010) and, therefore, the bivariate R2, jk can be computed as an Mk statistic by Equations 16 and 17 using this transformation matrix.”
- A New Statistic for Evaluating Item Response Theory Models for Ordinal Data. CRESST Report 839. (2014, methodology): “The construction of the new statistic lies formally between the statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the statistic of Cai and Hansen (2013), which collapses the marginal probabilities into means and product moments.”
- Testing Measurement Invariance in Longitudinal Data with Ordered-Categorical Measures (2016, unknown): “According to asymptotic statistical theory, full information methods should produce parameter estimates with greater efficiency (Joe & Maydeu-Olivares, 2010; MaydeuOlivares & Joe, 2005).”
- How True Is Grit? Assessing Its Relations to High School and College Students’ Personality Characteristics, Self-Regulation, Engagement, and Achievement (2017, methodology): “We used the following goodness of model fit indices: (a) an absolute model fit index (M2 statistic root mean square error of approximation [RMSEA]; Joe & Maydeu-Olivares, 2010) and (b) relative model fit indices (observed log-likelihood, Akaike information criterion [AIC], and Bayesian information…”
- Goodness-of-Fit Assessment of Item Response Theory Models (2013, methodology): “Using theory from Joe and Maydeu-Olivares (2010), a statistic analogous to M2 may be computed using as summary statistics residual means and cross-products instead of the residuals p2 − π̂2.”