Applied ordinal logistic regression using Stata : from single-level to multilevel modeling /: from single-level to multilevel modeling. (2015)

• Record Type: Book
• Further Information: Note: Xing Liu.
• Authors: (Education professor), Liu, Xing
• 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;
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2015
• Extent: 1 online resource
• Subjects: 519.535; Logistic regression analysis -- Data processing
• Languages: English
• ISBNs: 9781483319742
• Related ISBNs: 9781483319759
• Notes: Note: Includes bibliographical references.; Note: Description based on CIP data; item not viewed.
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