Computational Options for Standard Errors and Test Statistics with Incomplete Normal and Nonnormal Data in SEM

The Choice of Normal-Theory Weight Matrix When Computing Robust Standard Errors in Confirmatory Factor Analysis

(2019) Njål Foldnes et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Examining the effect of missing data on RMSEA and CFI under normal theory full-information maximum likelihood

(2019) Xijuan Zhang et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Missing Data Mechanisms and Homogeneity of Means and Variances–Covariances

(2018) Ke-Hai Yuan et al.   PSYCHOMETRIKA

Estimating Standardized SEM Parameters Given Nonnormal Data and Incorrect Model: Methods and Comparison

(2018) Keke Lai   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Asymptotic bias of normal-distribution-based maximum likelihood estimates of moderation effects with data missing at random

(2018) Qian Zhang et al.   BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY

More Robust Standard Error and Confidence Interval for SEM Parameters Given Incorrect Model and Nonnormal Data

(2018) Keke Lai   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Covariance Model Simulation Using Regular Vines

(2017) Steffen Grønneberg et al.   PSYCHOMETRIKA

Are Robust Standard Errors the Best Approach for Interval Estimation With Nonnormal Data in Structural Equation Modeling?

(2017) Carl F. Falk   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Four New Corrected Statistics for SEM With Small Samples and Nonnormally Distributed Data

(2017) Ge Jiang et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Maximum Likelihood Estimation of Structural Equation Models for Continuous Data: Standard Errors and Goodness of Fit

(2017) Alberto Maydeu-Olivares   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Evaluating the Selection of Normal-Theory Weight Matrices in the Satorra–Bentler Correction of Chi-Square and Standard Errors

(2016) Yan Xia et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

lavaan: AnRPackage for Structural Equation Modeling

(2015) Yves Rosseel   Journal of Statistical Software

Adjusting Incremental Fit Indices for Nonnormality

(2014) Patricia E. Brosseau-Liard et al.   MULTIVARIATE BEHAVIORAL RESEARCH

How General is the Vale–Maurelli Simulation Approach?

(2014) Njål Foldnes et al.   PSYCHOMETRIKA

Robust Two-Stage Approach Outperforms Robust Full Information Maximum Likelihood With Incomplete Nonnormal Data

(2014) Victoria Savalei et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Consistency, bias and efficiency of the normal-distribution-based MLE: The role of auxiliary variables

(2013) Ke-Hai Yuan et al.   JOURNAL OF MULTIVARIATE ANALYSIS

An Investigation of the Sample Performance of Two Nonnormality Corrections for RMSEA

(2013) Patricia E. Brosseau-Liard et al.   MULTIVARIATE BEHAVIORAL RESEARCH

Generating Nonnormal Multivariate Data Using Copulas: Applications to SEM

(2012) Patrick Mair et al.   MULTIVARIATE BEHAVIORAL RESEARCH

Robust Structural Equation Modeling with Missing Data and Auxiliary Variables

(2012) Ke-Hai Yuan et al.   PSYCHOMETRIKA

Consistency of Normal-Distribution-Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random

(2010) Ke-Hai Yuan et al.   AMERICAN STATISTICIAN

Small Sample Statistics for Incomplete Nonnormal Data: Extensions of Complete Data Formulae and a Monte Carlo Comparison

(2010) Victoria Savalei   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis

(2009) Ke-Hai Yuan   JOURNAL OF MULTIVARIATE ANALYSIS

Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic

(2009) Albert Satorra et al.   PSYCHOMETRIKA

A Two-Stage Approach to Missing Data: Theory and Application to Auxiliary Variables

(2009) Victoria Savalei et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

SEM with Missing Data and Unknown Population Distributions Using Two-Stage ML: Theory and Its Application

(2008) Ke-Hai Yuan et al.   MULTIVARIATE BEHAVIORAL RESEARCH