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Statistics Using Stata: An Integrative Approach, Second Edition


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Authors:
Sharon Lawner Weinberg and Sarah Knapp Abramowitz
Publisher: Cambridge University Press
Copyright: 2020
ISBN-13: 978-1-108-72583-5
Pages: 740; paperback
Price: $73.50
Authors:
Sharon Lawner Weinberg and Sarah Knapp Abramowitz
Publisher: Cambridge University Press
Copyright: 2020
ISBN-13:
Pages: 740; eBook
Price: $0.00
Authors:
Sharon Lawner Weinberg and Sarah Knapp Abramowitz
Publisher: Cambridge University Press
Copyright: 2020
ISBN-13:
Pages: 740; Kindle
Price: $

Comment from the Stata technical group

Statistics Using Stata: An Integrative Approach, Second Edition, by Sharon Lawner Weinberg and Sarah Knapp Abramowitz, is an excellent introduction to applied statistics and its implementation in Stata. The authors cover essential topics from exploratory data analysis to multiple regression, interweaving statistical concepts and their application in Stata. Their repeated use of real data throughout the book clearly connects the statistical concepts to real-world applications. Designed for teaching graduate and undergraduate students from the behavioral, social, and health sciences, this text is accompanied by additional resources online such as Powerpoint slides and Stata do-files. Each chapter concludes with exercises and a review of Stata code used in the examples, allowing readers to test their knowledge and refer back to Stata commands.

The authors guide the reader from basic statistical concepts to more advanced material, tying concepts together to emphasize the overarching ideas. They begin with descriptive statistics, discussing the different variable types and the corresponding graphs and statistics used to examine their distribution and relationship with other variables. Then, they discuss the law of large numbers, theoretical probability distributions, and sampling, preparing the reader to dive into inferential statistics. The authors then present ANOVA, simple and multiple regression, and nonparametric methods. They carefully explain what the values represent in context of the data and how the methods relate to one another, allowing readers to really grasp the meaning behind the analyses.

Weinberg and Abramowitz are just as careful when teaching the reader how to implement statistical methods in Stata. First, they introduce the reader to Stata's interface and the general syntax of Stata’s commands. Then, they explain the importance of do-files for reproducing one’s work and encourage the reader to work alongside the text with the do-files provided at the companion website. Readers can then use these do-files as a starting point when performing analyses on their own data.

The authors have updated the second edition based on the most recent version of Stata, version 16. Building on the concept of power discussed in the first edition, they use the power suite to demonstrate how to perform power analysis for the inferential methods discussed. Additionally, an entirely new chapter is devoted to understanding and visualizing statistical interactions, providing much needed clarity on a topic that has confused many students in the past. And, reflecting on the importance of creating publication-quality reports that can be easily reproduced, the authors have added a new chapter demonstrating how to embed Stata results in Excel files.

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