The performance of MLR, USLMV, and WLSMV estimation in structural regression models with ordinal variables
"The purpose of this thesis was to carry out a Monte Carlo simulation study, in order to compare the performance of ML, the most widely known estimation method, with the three robust estimators (MLR, ULSMV, and WLSMV) on parameter estimates, standard errors, and chi-square goodness of fit statistics in a five-factor structural regression model with ordinal observed variables... " -- Abstract.
Read
- In Collections
-
Electronic Theses & Dissertations
- Copyright Status
- In Copyright
- Material Type
-
Theses
- Authors
-
Li, Cheng-Hsien
- Thesis Advisors
-
Raykov, Tenko
- Committee Members
-
DeShon, Richard
Diemer, Matthew
Reckase, Mark
- Date Published
-
2014
- Program of Study
-
Measurement and Quantitative Methods - Doctor of Philosophy
- Degree Level
-
Doctoral
- Language
-
English
- Pages
- xii, 148 pages
- ISBN
-
9781303908491
1303908492
- Permalink
- https://doi.org/doi:10.25335/k26k-8c13