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Four New Corrected Statistics for SEM With Small Samples and Nonnormally Distributed Data
When the assumption of multivariate normality is violated and the sample sizes are relatively small, existing test statistics such as the likelihood ratio statistic and Satorra–Bentler’s rescaled andExpand
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The Performance of Ten Modified Rescaled Statistics as the Number of Variables Increases
Among test statistics for assessing overall model fit in structural equation modeling (SEM), the Satorra–Bentler rescaled statistic is most widely used when the normality assumption is violated.Expand
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Empirically Corrected Rescaled Statistics for SEM with Small N and Large p
ABSTRACT Survey data often contain many variables. Structural equation modeling (SEM) is commonly used in analyzing such data. With typical nonnormally distributed data in practice, a rescaledExpand
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Mean and Mean-and-Variance Corrections With Big Data
Mean and mean-and-variance corrections are the 2 major principles to develop test statistics with violation of conditions. In structural equation modeling (SEM), mean-rescaled andExpand
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Advances in Measurement Invariance and Mean Comparison of Latent Variables: Equivalence Testing and A Projection-Based Approach
Measurement invariance (MI) entails that measurements in different groups are comparable, and is a logical prerequisite when studying difference or change across groups. MI is commonly evaluatedExpand
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More is Less: A Critical Review of Works Made for Hire Rules in China
  • Ge Jiang
  • Political Science
  • 2 September 2015
The creation of works in modern society is becoming more and more impersonal, and the majority of works are created as works made for hire. Reasonable property rules are required to minimizeExpand
On Extended Guttman Condition in High Dimensional Factor Analysis
It is well-known that factor analysis and principal component analysis often yield similar estimated loading matrices. Guttman (Psychometrika 21:273–285, 1956) identified a condition under which theExpand
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A Sandwich Standard Error Estimator for Exploratory Factor Analysis With Nonnormal Data and Imperfect Models
This article is concerned with standard errors (SEs) and confidence intervals (CIs) for exploratory factor analysis (EFA) in different situations. The authors adapt a sandwich SE estimator for EFAExpand
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Four New Corrected Statistics for Structural Equation Modeling with Small Sample and Nonnormally Distributed Data
  • Ge Jiang
  • Mathematics, Medicine
  • Multivariate behavioral research
  • 2 November 2015
The likelihood ratio statistic, TML, is the most widely used statistic for evaluating structural equation modeling (SEM) models. With nonnormally distributed data, referring TML to its nominalExpand
Discussion Paper Series Local Interactions under Switching Costs
We study the impact of switching costs on the long run outcome in 2 × 2 coordination games played in the circular city model of local interactions. For low levels of switching costs the predictionsExpand