Applied Ordinal Logistic Regression Using Stata

✍ Scribed by Xing Liu

• Publisher: SAGE
• Year: 2015
• Tongue: English
• Leaves: 641
• Category: Library

✦ Table of Contents

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 5. Partial Proportional Odds Models and Generalized Ordinal Logistic Regression Models
   Introduction
   Research Example and Description of the Data and Sample
   Partial Proportional Odds Models with Stata: Commands and Output
   Generalized Ordinal Logistic Regression Models with Stata: An Example
   Making Publication-Quality Tables
   Presenting the Results
   Summary of Stata Commands in this Chapter
   Exercises 6. Continuation Ratio Models
   Continuation Ratio Models: An Introduction
   Research Example and Description of the Data and Sample
   Continuation Ratio Models with Stata: Commands and Output
   Making Publication-Quality Tables
   Presenting the Results
   Summary of Stata Commands in this Chapter
   Exercises 7. Adjacent Categories Logistic Regression Models
   Adjacent Categories Models: An Introduction
   Research Example and Description of the Data and Sample
   Adjacent Categories Models with Stata: Commands and Output
   Presenting the Results
   Summary of Stata Commands in this Chapter 8. Stereotype Logistic Regression Models
   Stereotype Logistic Regression Models: An Introduction
   Research Example and Description of Data and Sample
   Stereotype Logistic Regression with Stata: Commands and Output
   Making Publication-Quality Tables
   Presenting the Results
   Summary of Stata Commands in this Chapter
   Exercises 9. Ordinal Logistic Regression with Complex Survey Sampling Designs
   Ordinal Logistic Regression with Complex Survey Sampling Designs: An Introduction
   Research Example and the Description of Data and Variables
   Data Analysis with Stata: Commands and Output
   Making Publication-Quality Tables
   Summary of Stata Commands in this Chapter
   Exercises 10. Multilevel Modeling for Continuous and Binary Response Variables
   Multilevel Modeling: An Introduction
   Multilevel Modeling for Continuous Outcome Variables
   Multilevel Modeling for Binary Outcome Variables
   Multilevel Modeling for Binary Outcome Variables with Stata: Commands and Output
   Making Publication-Quality Tables
   Reporting the Results 11. Multilevel Modeling for Ordinal Response Variables
   Multilevel Modeling for Ordinal Response Variables: An Introduction
   Research Example: Research Problem and Questions
   Building a Two-Level Model for Ordinal Response Variables with Stata: Commands and Output
   Making Publication-Quality Tables
   Presenting the Results
   Summary of Stata Commands in this Chapter
   Exercises 12. Beyond Ordinal Logistic Regression Models: Ordinal Probit Regression Models and Multinomial Logistic Regression Models
   Ordinal Probit Models
   Multinomial Logistic Regression Models
   Summary of Stata Commands in this Chapter
   Exercises