Statistics Using Stata
An Integrative Approach

Accessible and engaging integration of the learning of Stata (version 17) with an introduction to applied statistics using real data.

Sharon Lawner Weinberg (Author), Sarah Knapp Abramowitz (Author), Daphna Harel (Author)

9781009391009, Cambridge University Press

Paperback / softback, published 30 November 2023

780 pages
25 x 20 x 4.3 cm, 1.633 kg

'Statistics Using Stata is a great intro stats text that assumes a minimal math background, provides good coverage of foundational topics, and has a lot of examples (code and data) to work through in Stata. I especially like the new chapter on public-use data sources. Great for teachers!' Peter F. Halpin, University of North Carolina, USA

Statistics Using Stata uses a highly accessible and lively writing style to seamlessly integrate the learning of the latest version of Stata (17) with an introduction to applied statistics using real data in the behavioral, social, and health sciences. The text is comprehensive in its content coverage and is suitable at undergraduate and graduate levels. It requires knowledge of basic algebra, but no prior coding experience. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes a .do-file for each chapter, that was used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter.

1. Introduction
2. Examining Univariate Distributions
3. Measures of Location, Spread, and Skewness
4. Re-expressing Variables
5. Exploring Relationships Between Two Variables
6. Simple Linear Regression
7. Probability Fundamentals
8. Theoretical Probability Models
9. The Role of Sampling in Inferential Statistics
10. Inferences Involving the Mean of a Single Population When σ is Known
11. Inferences Involving the Mean When σ is Not Known: One- and Two-sample Designs
12. Research Design: Introduction and Overview
13. One-way Analysis of Variance
14. Two-way Analysis of Variance
15. Correlation and Simple Regression as Inferential Techniques
16. An Introduction to Multiple Regression
17. Two-way Interactions in Multiple Regression
18. Nonparametric Methods
19. Customizing and Exporting Tables to Microsoft Word and Excel Using the New Table Command
20. Accessing Data from Public-use Sources.

Subject Areas: Psychological methodology [JMB]