Limited Information Goodness-of-fit Testing in Multidimensional Contingency Tables

By Albert Maydeu-Olivares, Harry Joe. 2006

332 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7ffbb2ea20d724df23af68f1305befa86d158b18

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Comparing the Fit of Item Response Theory and Factor Analysis Models (2011, methodology): “…generally, test statistics based on residual covariances are an alternative to recently developed limited information tests for IRT models (e.g., Bartholomew & Leung, 2002; Cai, Maydeu-Olivares, Coffman, & Thissen, 2006; Maydeu-Olivares, 2006; Maydeu-Olivares & Joe, 2005, 2006; Reiser, 1996, 2008).”
A New Statistic for Evaluating Item Response Theory Models for Ordinal Data. CRESST Report 839. (2014, methodology): “Maydeu-Olivares and Joe (2006) proposed the statistic, which utilizes the first and second order marginal probabilities.”
Local Dependence Diagnostics in IRT Modeling of Binary Data (2013, methodology): “The former is consistent with simulation result of Chen and Thissen (1997), whereas the latter is consistent with the asymptotic theory of Maydeu-Olivares and Joe (2006).”
Practical Guide to Conducting an Item Response Theory Analysis (2014, methodology): “V al ue s in p ar en th es is a re it em p ar am et er s ta nd ar d er ro r es tim at e. 142 Journal of Early Adolescence 34(1) associated p value and RMSEA index (Cai, Maydeu-Olivares, Coffman, & Thissen, 2006; Maydeu-Olivares & Joe, 2005, 2006).”
Goodness-of-Fit Assessment of Item Response Theory Models (2013, methodology): “L2 was proposed by Maydeu-Olivares and Joe (2005, 2006) for testing simple null hypotheses (i.e., known parameter values), in which case it follows an asymptotic chi-square distribution.”
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement (2021, unknown): “In addition, as statistical models are only an approximation to the real data generation mechanism, IRT models are typically found to lack ﬁt when applying to real-world item response datasets that have a reasonably large sample size (Maydeu-Olivares and Joe, 2006).”
Goodness-of-Fit Testing (2010, background): “However, when used for piecewise assessment of fit, X 2 may yield an undue impression of poor fit (Maydeu-Olivares and Joe, 2006).”