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Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling de Xing Liu

Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling

Autor Xing Liu
en Limba Engleză Paperback – 15 dec 2015
This book 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. 
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Specificații

ISBN-13: 9781483319759
ISBN-10: 148331975X
Pagini: 552
Dimensiuni: 187 x 232 x 22 mm
Greutate: 0.82 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

In this book, Xing Liu offers a well-crafted book focused on the application of ordinal response models across fields. Readers will be equipped to competently handle a variety of statistical techniques from basic correlations to more advanced generalized ordered logistic regression models. This is an excellent resource for both new consumers of these statistical applications to seasoned veterans working on more complex issues related to ordinal response models. 
Logistic regression can be difficult to understand. Without a book explaining the test in a plain and easy-to-understand matter, learners will feel lost and get frustrated. However, Applied Ordinal Logistic Regression Using Stata explains the concept clearly and provides practical codes and output.  Learners will find this book approachable and easy to follow. 

Cuprins

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

Notă biografică

Descriere

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical data