TY  - GEN
AU  -  Xing Liu
TI  - Applied Ordinal Logistic Regressi Using Stata: From Single-Level to Multilevel Modeling
SN  - 9781483319759
U1  - 519.535 LIU 
PY  - 2016///
CY  - New Delhi
PB  - Sage
KW  - Statistics
N1  - 1. Stata Basics 
Introduction to Stata
 
Data Management
 
Graphs
 
A Summary of Stata Commands in this Chapter
 
Exercises
 
  2. Review of Basic Statistics 
Understand Your Data Using Descriptive Statistics
 
Descriptive Statistics for Continuous Variables Using Stata
 
Frequency Distribution for Categorical Variables Using Stata
 
Independent Samples t-test Using Stata
 
Paired Samples t-test
 
Analysis of Variance (ANOVA)
 
Correlation
 
Simple Linear Regression
 
Multiple Linear Regression
 
Chi-Square Test
 
Making Publication-Quality Tables Using Stata
 
General Guidelines for Reporting Resutls
 
A Summary of Stata Commands in this Chapter
 
Exercises
 
  3. Logistic Regression for Binary Data 
Logistic Regression Models: An Introduction
 
Research Example and Description of the Data and Sample
 
Logistic Regression with Stata: Commands and Output
 
Summary of Stata Commands in this Chapter
 
Exercises
 
  4. Proportional Odds Models for Ordinal Response Variables 
Proportional Odds Models: An Introduction
 
Research Example and Description of the Data and Sample
 
Proportional Odds Models with Stata: Commands and Output
 
Summary of Stata Commands in this Chapter
 
Exercises
N2  - The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata helps readers learn how to conduct analyses, interpret the results from Stata output, and present those results in scholarly writing. Using step-by-step instructions, this non-technical, applied book leads students, applied researchers, and practitioners to a deeper understanding of statistical concepts by closely connecting the underlying theories of models with the application of real-world data using statistical software.
ER  -