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Applied Statistics Using Stata: A Guide for the Social Sciences, Second Edition


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Authors:
Mehmet Mehmetoglu and Tor Georg Jakobsen
Publisher: SAGE Publications
Copyright: 2022
ISBN-13: 978-1529742565
Pages: 488; paperback
Authors:
Mehmet Mehmetoglu and Tor Georg Jakobsen
Publisher: SAGE Publications
Copyright: 2022
ISBN-13:
Pages: 488; eBook
Price: $0.00
Authors:
Mehmet Mehmetoglu and Tor Georg Jakobsen
Publisher: SAGE Publications
Copyright: 2022
ISBN-13:
Pages: 488; Kindle
Price: $

Comment from the Stata technical group

Applied Statistics Using Stata: A Guide for the Social Sciences, Second Edition, by Mehmet Mehmetoglu and Tor Georg Jakobsen, provides an introduction to using Stata for applied statistics. Graduate students from the social sciences, as well as anyone new to quantitative research using Stata, can benefit from this guide. Containing concepts from linear regression analysis to more advanced structural equation modeling, this book will give the reader a broad understanding of how to conduct statistical analysis using Stata.

The authors begin by providing readers with a background on statistical concepts and a practical introduction to the applications of Stata. The authors explain critical concepts regarding statistical inference and regression analysis. They then guide the reader through the Stata interface, commands, and resources available for help.

After establishing the necessary statistical and software skill sets, the authors cover many statistical models. The authors transition smoothly from linear regression to logistic regression and factor analysis, while discussing the key assumptions related to each model. The authors illustrate each concept with an example using downloadable datasets, allowing readers to perform the sample statistical analyses as they read along. Each example is followed by a detailed interpretation of the statistical output and appropriate postestimation tests.

The second edition includes three new chapters devoted to survival analysis, time-series analysis, and programming. In the programming chapter, readers will learn how they can repeat commands over a set of values or variables and learn how to export Stata results and graphs to HTML and Microsoft Word-compatible files. Additionally, the authors include a new chapter devoted to advanced statistical techniques, such as working with missing data, count data, and instrumental variables. Readers looking for additional practice can refer to the new exercises added to each chapter.

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