The Impact of Non-Normality on Causal Effect Estimates in Structural Equation Models with Ordered Categorical Variables
Bibliographic Data
| ID | 12424903 |
|---|---|
| Authors | Benedikt Lugauer (Leipzig University, corresponding author), Jana Holtmann (0000-0002-7949-0772, Leipzig University) |
| Year | 2024 |
| Volume | 32 |
| Issue | 3 |
| Pages | 365-376 |
| Publication date | 2024-11-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2024.2414392 |
| OpenAlex | W4404124951 |
| Language | EN |
| Citations received | 1 |
| References cited | 42 |
Categorical variable · Causal model · Econometrics · Normality · Statistics · Structural equation modeling · Advanced Causal Inference Techniques · Advanced Statistical Modeling Techniques · Mathematics · Psychology · Psychometric Methodologies and Testing
A General Structural Equation Model with Dichotomous, Ordered Categorical, and Continuous Latent Variable Indicators
On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA
The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality
A General Approach to Confirmatory Maximum Likelihood Factor Analysis
Asymptotically distribution‐free methods for the analysis of covariance structures
Relative Performance of Categorical Diagonally Weighted Least Squares and Robust Maximum Likelihood Estimation
Simulating Multivariate Nonnormal Distributions
When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
Identification of Causal Effects Using Instrumental Variables
Confirmatory factor analysis with ordinal data
An Empirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data.
The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.
Theory and Analysis of Total, Direct, and Indirect Causal Effects
The EffectLiteR Approach for Analyzing Average and Conditional Effects
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Analyzing Skewed Continuous Outcomes With Many Zeros
Principles and Practice of Structural Equation Modeling
The unicorn, the normal curve, and other improbable creatures
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |