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A Gentle Introduction to Stata, Revised Sixth Edition

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
A Gentle Introduction to Stata, Revised Sixth Edition by Alan C. Acock is designed for new users of Stata who want to become proficient in this statistical software. Assuming no prior experience with statistical software, the book begins with the basics, guiding readers from raw survey data through to a Stata-ready dataset. It combines instruction on good Stata practices with sound statistical habits, covering data management, basic exploratory statistics, and standard analyses like correlation, regression, and tests of location and dispersion.

Advanced topics such as multiple imputation and multilevel modelling are also introduced in an accessible manner. The author balances teaching through menu-driven and command-line approaches to facilitate building effective workflows. With a friendly, conversational tone and practical exercises in each chapter using real datasets like the General Social Surveys, this book serves behavioural and social science users especially well.
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for beginners in Stata, particularly those in behavioural and social sciences who seek a comprehensive, clear, and practical guide. It suits readers with no prior experience in statistical software and those who appreciate a blend of software instruction and sound statistical reasoning.

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Ready to learn Stata? The revised edition of Stata Press' long-time best seller, 'A Gentle Introduction to Stata' is now available and fully updated for Stata 17.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Alan C. Acock's A Gentle Introduction to Stata, Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able to not only use Stata well but also learn new aspects of Stata.

Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and explaining good statistical habits continues throughout the book.

Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of Stata commands and do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material.

The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material naturally. Real datasets, such as the General Social Surveys from 2002, 2006, and 2016, are used throughout the book.

The focus of the book is especially helpful for those in the behavioural and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardised coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements.

The revised sixth edition is fully up to date for Stata 17, including updated discussion and images of Stata's interface and modern command syntax. In addition, examples include new features such as the table command and collect suite for creating and exporting customised tables as well as the option for creating graphs with transparency.

Book Details

INFORMATION

ISBN: 9781597183673

Publisher: Stata Press

Format: Paperback / softback

Date Published: 19 January 2023

Country: United States

Imprint: Stata Press

Edition: 6th edition

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Width: 189.0mm

Height: 246.0mm

Weight: 1209g

Pages: 566

About the Author

Alan Acock is a sociologist and a University Distinguished Professor Emeritus in the School of Social and Behavioral Health Sciences at Oregon State University. He held the Knudson Chair in Family Research and was also recognized as the Alumni Distinguished Professor based on his work with students. He is the author of Discovering Structural Equation Modeling Using Stata, Revised Edition. He has published more than 150 articles in leading journals across the social and behavioral sciences, including Structural Equation Modeling, Psychological Bulletin, Multivariate Behavioral Research,Journal of Gerontology, Journal of Adolescence, American Journal of Public Health, American Sociological Review, Journal of Marriage and Family, Social Forces, Drug and Alcohol Dependence, Educational and Psychological Measurement, Journal of Politics, Prevention Science, American Journal of Preventive Medicine, and many others. With this broad experience, Acock brings examples from a variety of disciplines.

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