Summary
Contents
Subject index
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.
Review of Basic Statistics
Review of Basic Statistics
Objectives of This Chapter
This chapter reviews descriptive statistics and various inferential statistics using Stata. When introducing each type of inferential statistics, an example of research design is provided followed by the research questions, Stata command, and output. The Stata commands are explained and the output is interpreted in detail. In addition, a sample of reporting the results for each analysis is provided. Finally, the commands for creating publication-quality tables using Stata are introduced, and the guidelines for reporting results are discussed. This chapter focuses on conducting basic statistical analyses using Stata, as well as on interpreting and presenting the results. After reading this chapter, you should be able to
- Conduct analysis of descriptive statistics for continuous and categorical variables.
- Perform the independent ...
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