NotesFAQContact Us
Collection
Advanced
Search Tips
Descriptor
Evaluation Methods2
Goodness of Fit2
Statistical Analysis2
Structural Equation Models2
Test Bias2
Computation1
Computer Software1
Source
Structural Equation Modeling:…2
Author
Enders, Craig K.1
Raykov, Tenko1
Publication Type
Journal Articles2
Reports - Descriptive2
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 2 results Save | Export
Bias-Corrected Estimation of Noncentrality Parameters of Covariance Structure Models
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2005
A bias-corrected estimator of noncentrality parameters of covariance structure models is discussed. The approach represents an application of the bootstrap methodology for purposes of bias correction, and utilizes the relation between average of resample conventional noncentrality parameter estimates and their sample counterpart. The…
Descriptors: Computation, Goodness of Fit, Test Bias, Statistical Analysis
An SAS Macro for Implementing the Modified Bollen-Stine Bootstrap for Missing Data: Implementing the Bootstrap Using Existing Structural Equation Modeling Software
Peer reviewed Peer reviewed
Direct linkDirect link
Enders, Craig K. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The Bollen-Stine bootstrap can be used to correct for standard error and fit statistic bias that occurs in structural equation modeling (SEM) applications due to nonnormal data. The purpose of this article is to demonstrate the use of a custom SAS macro program that can be used to implement the Bollen-Stine bootstrap with existing SEM software.…
Descriptors: Computer Software, Structural Equation Models, Statistical Analysis, Goodness of Fit