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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470583333.ch1openalex-snapshot
Analysis of Correlation Structures: Current Status and Open Problems
inferredcites →https://doi.org/10.1007/978-0-387-76721-5_5openalex-snapshot
A Unified Approach to Two-Level Structural Equation Models and Linear Mixed Effects Models
inferredcites →https://doi.org/10.1007/bf02289343openalex-snapshot
A General Approach to Confirmatory Maximum Likelihood Factor Analysis
inferredcites →https://doi.org/10.1007/bf02293905openalex-snapshot
Linear Structural Equations with Latent Variables
inferredcites →https://doi.org/10.1007/bf02294210openalex-snapshot
A General Structural Equation Model with Dichotomous, Ordered Categorical, and Continuous Latent Variable Indicators
inferredcites →https://doi.org/10.1007/s11336-008-9100-1openalex-snapshot
Alpha, Dimension-Free, and Model-Based Internal Consistency Reliability
inferredcites →https://doi.org/10.1007/s11336-009-9135-yopenalex-snapshot
Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic
inferredcites →https://doi.org/10.1016/b978-0-444-52044-9.x5000-9openalex-snapshot
Handbook of Latent Variable and Related Models
inferredcites →https://doi.org/10.1016/b978-044452044-9/50020-3openalex-snapshot
Robust Procedures in Structural Equation Modeling
inferredcites →https://doi.org/10.1016/j.jcps.2009.09.002openalex-snapshot
Everything you always wanted to know about SEM (structural equations modeling) but were afraid to ask
inferredcites →https://doi.org/10.1016/j.jcps.2009.09.003openalex-snapshot
Structural equations modeling: Fit Indices, sample size, and advanced topics
inferredcites →https://doi.org/10.1016/j.jmva.2006.08.005openalex-snapshot
Normal theory likelihood ratio statistic for mean and covariance structure analysis under alternative hypotheses
inferredcites →https://doi.org/10.1037//0033-2909.107.2.238openalex-snapshot
Comparative fit indexes in structural models.
inferredcites →https://doi.org/10.1037//0033-2909.111.3.490openalex-snapshot
Model modifications in covariance structure analysis: The problem of capitalization on chance.
inferredcites →https://doi.org/10.1037//0033-2909.88.3.588openalex-snapshot
Significance tests and goodness of fit in the analysis of covariance structures.
inferredcites →https://doi.org/10.1037//1082-989x.1.1.16openalex-snapshot
The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.
inferredcites →https://doi.org/10.1037//1082-989x.7.2.147openalex-snapshot
Missing data: Our view of the state of the art.
inferredcites →https://doi.org/10.1037//1082-989x.7.4.403openalex-snapshot
When fit indices and residuals are incompatible.
inferredcites →https://doi.org/10.1037/0003-066x.62.8.772openalex-snapshot
Can scientifically useful hypotheses be tested with correlations?
inferredcites →https://doi.org/10.1037/1082-989x.8.1.16openalex-snapshot
On specifying the null model for incremental fit indices in structural equation modeling.
inferredcites →https://doi.org/10.1037/a0019625openalex-snapshot
Testing model nesting and equivalence.
inferredcites →https://doi.org/10.1037/a0022657openalex-snapshot
Quantified choice of root-mean-square errors of approximation for evaluation and power analysis of small differences between structural equation models.
inferredcites →https://doi.org/10.1080/00273170701710338openalex-snapshot
Observations on the Use of Growth Mixture Models in Psychological Research
inferredcites →https://doi.org/10.1080/00273170802490699openalex-snapshot
SEM with Missing Data and Unknown Population Distributions Using Two-Stage ML: Theory and Its Application
inferredcites →https://doi.org/10.1080/10705510902751382openalex-snapshot
Smoking and Cancers: Case-Robust Analysis of a Classic Data Set
inferredcites →https://doi.org/10.1080/10705510903008238openalex-snapshot
A Two-Stage Approach to Missing Data: Theory and Application to Auxiliary Variables
inferredcites →https://doi.org/10.1080/10705511.2010.488997openalex-snapshot
An Alternative Approach for Nonlinear Latent Variable Models
inferredcites →https://doi.org/10.1080/10705511003661587openalex-snapshot
EQS Goes R: Simulations for SEM Using the Package REQS
inferredcites →https://doi.org/10.1093/genetics/8.3.239openalex-snapshot
THE THEORY OF PATH COEFFICIENTS A REPLY TO NILES'S CRITICISM
inferredcites →https://doi.org/10.1111/0081-1750.00078openalex-snapshot
5. Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data
inferredcites →https://doi.org/10.1111/j.1467-9531.2007.00182.xopenalex-snapshot
3. Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models
inferredcites →https://doi.org/10.1111/j.1744-6570.2007.00081_13.xopenalex-snapshot
Structural Equation Modeling: A Second Course
inferredcites →https://doi.org/10.1111/j.2044-8317.1995.tb01067.xopenalex-snapshot
A two‐stage estimation of structural equation models with continuous and polytomous variables
inferredcites →https://doi.org/10.1111/j.2044-8317.1998.tb00667.xopenalex-snapshot
Robust mean and covariance structure analysis
inferredcites →https://doi.org/10.1111/j.2044-8317.1998.tb00682.xopenalex-snapshot
Normal theory based test statistics in structural equation modelling
inferredcites →https://doi.org/10.1146/annurev.psych.53.100901.135239openalex-snapshot
Latent Variables in Psychology and the Social Sciences
inferredcites →https://doi.org/10.1177/0049124112460373openalex-snapshot
ML Versus MI for Missing Data With Violation of Distribution Conditions
inferredcites →https://doi.org/10.1177/01466216980221008openalex-snapshot
Advanced Structural Equation Modeling: Issues and Techniques
inferredcites →https://doi.org/10.1201/9781439800393openalex-snapshot
Linear Causal Modeling with Structural Equations
inferredcites →https://doi.org/10.1207/s15327906mbr3701_01openalex-snapshot
The Noncentral Chi-square Distribution in Misspecified Structural Equation Models: Finite Sample Results from a Monte Carlo Simulation
inferredcites →https://doi.org/10.1207/s15328007sem1001_4openalex-snapshot
Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models
inferredcites →https://doi.org/10.1207/s15328007sem1203_2openalex-snapshot
The Relation Among Fit Indexes, Power, and Sample Size in Structural Equation Modeling
inferredcites →https://doi.org/10.1348/000711007x249603openalex-snapshot
SEM of another flavour: Two new applications of the supplemented EM algorithm
inferredcites →https://doi.org/10.1348/000711009x449771openalex-snapshot
Two simple approximations to the distributions of quadratic forms
inferredcites →https://doi.org/10.2307/2291370openalex-snapshot
Latent Variables Analysis: Applications for Developmental Research.
inferredcites →https://doi.org/10.3102/10769986024001021openalex-snapshot
ML Estimation of Mean and Covariance Structures with Missing Data Using Complete Data Routines
inferredcites →https://doi.org/10.4135/9781412973380.n17openalex-snapshot
Structural Equation Modeling
inferredcites →https://doi.org/10.4324/9781315757421openalex-snapshot
Structural equation modeling with AMOS: basic concepts, applications, and programming
inferredcites →https://doi.org/10.4324/9781315827414openalex-snapshot
Advanced Structural Equation Modeling
inferredcites →https://doi.org/10.5860/choice.44-2791openalex-snapshot
The Handbook of marketing research: uses, misuses, and future advances
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