Empirical correction to the likelihood ratio statistic for structural equation modeling with many variables
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Publication:748207
DOI10.1007/s11336-013-9386-5zbMath1322.62343OpenAlexW2152198215WikidataQ44251505 ScholiaQ44251505MaRDI QIDQ748207
Hirokazu Yanagihara, Ke-Hai Yuan, Yu-Bin Tian
Publication date: 20 October 2015
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-013-9386-5
Factor analysis and principal components; correspondence analysis (62H25) Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15) Applications of statistics to psychology (62P15)
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- A test for the equality of covariance matrices when the dimension is large relative to the sample sizes
- A class of tests for a general covariance structure
- Asymptotic chi-square tests for a large class of factor analysis models
- Testing the equality of several covariance matrices with fewer observations than the dimension
- Structural equation modeling with near singular covariance matrices
- Robust statistics for test-of-independence and related structural models
- Model conditions for asymptotic robustness in the analysis of linear relations
- Application of the bootstrap methods in factor analysis
- Transformations with improved chi-squared approximations
- Asymptotic Expansions of the Null Distributions of Discrepancy Functions for General Covariance Structures Under Nonnormality
- A GENERAL METHOD FOR APPROXIMATING TO THE DISTRIBUTION OF LIKELIHOOD RATIO CRITERIA
- On the level-error after Bartlett adjustment of the likelihood ratio statistic
- Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
- Interpreting the Likelihood Ratio Statistic in Factor Models when Sample Size is Small
- Robustness of normal theory statistics in structural equation models*
- Measures of multivariate skewness and kurtosis with applications
- Properties of sufficiency and statistical tests
- A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA
- Maximum Likelihood Estimation of Misspecified Models
- The bootstrap and Edgeworth expansion
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