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Principles of Data Management and Presentation

Comment from the Stata technical group

Principles of Data Management and Presentation by John P. Hoffman provides an excellent guide for understanding and presenting data. Geared toward students and researchers from the social and behavioral sciences, this book walks readers through the various stages of research and shows them how to perform data management and present data graphically using Stata.

The author begins with an overview of the general research process and then demonstrates how readers can fine tune their research question. Hoffman lays groundwork for the book by discussing the different types of data, data formats, and variables. Readers learn how to import data, how to link datasets, and other valuable data management skills. The author then addresses the issue of missing data, including an in-depth look at why it occurs, the patterns missing data can have, and the different methods for addressing it. The book concludes with chapters on data presentation principles, tabular designs, and graphical presentation. This last section is particularly useful because it provides guidelines for displaying data and demonstrates how to produce a variety of graphs in Stata.

The author draws from his academic experience to provide readers with a practical guide for several stages of social and behavioral research. It is filled with Stata examples throughout, along with summary notes and exercises at the end of each chapter.

Table of contents

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