Home
Add
Get on Google Play
Home
> Edit
Add/Update Thesis
Title*
Author's Name*
Supervisor's Name
Abstract
The main purpose of this study was to examine the impact of sample size on multilevel model estimates and their standard errors under different methods of estimations. Three different studies were designed to achieve the objectives of the study. In study 1, two level binary logistic random intercept and random slope regression model was used. The performance of two estimation methods was observed under varying conditions of the design factors i.e the number of groups, group sizes and intraclass correlation (ICC). Maximum Likelihood (ML) with adaptive quadrature and Penalized Quasi-likelihood (PQL) methods of estimation were used in study 1. Similarly, three categories and five categories two level ordinal logistic random intercept and random slope regression models were used in study 2. The performance of ML and PQL methods of estimation was observed under varying conditions of the design factors i.e., the number of groups, group sizes, ICC and distribution of category responses. Moreover, a two level random intercept and random slope linear regression model was used in study 3. The performance of Restricted Maximum Likelihood Method (REML) and Bootstrap by means of Minimum Norm Quadratic Unbiased Estimators (MINQUE) was observed under varying conditions of the design factors. In all the three studies relative parameter bias and 95% confidence interval coverage rates were used to assess accuracy and precision of estimates and their standard errors. Further, empirical power rates were also computed in study 1 and study 2.
Subject/Specialization
Language
Program
Faculty/Department's Name
Institute Name
Univeristy Type
Public
Private
Campus (if any)
Institute Affiliation Inforamtion (if any)
City where institute is located
Province
Country
Degree Starting Year
Degree Completion Year
Year of Viva Voce Exam
Thesis Completion Year
Thesis Status
Completed
Incomplete
Number of Pages
Urdu Keywords
English Keywords
Link
Select Category
Religious Studies
Social Sciences & Humanities
Science
Technology
Any other inforamtion you want to share such as Table of Contents, Conclusion.
Your email address*