Principles of Data Management and Presentation
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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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1 Why Research?
What Is Research?
Impediments to Conducting Sound Research
How Can We Make Research Interesting and Persuasive?
The Research Process
2 Developing Research Questions
Selecting a Topic
From Topic to Research Question
Refining Research Questions
What Are Data?
Sources of Data
From Concepts to Variables
Forms of Data
4 Principles of Data Management
Data Cleaning and Screening
Principles of File Management
5 Finding and Using Secondary Data
Types of Secondary Data
Why Use Secondary Data?
Sources of Secondary Data
Examples of Searching for, Downloading, and Importing Data
A Simple Test of the Conceptual Model
The Pew Research Center Data
6 Primary and Administrative Data
Principles for Primary Data
Administrative Data and Linking Datasets
7 Working with Missing Data
Why Are Missing Data a Problem?
Reasons for Missing Data
Types of Missing Data
Forms and Patterns of Missing Data
Addressing Missing Data in the Analysis Stage
8 Principles of Data Presentation
First Principles: Clarity, Precision, and Efficiency
Why Words Are Not Enough
Types of Tables and Graphics
Principles of Data Presentation
9 Designing Tables for Data Presentations
Table or Graphic?
Examples of Tables
10 Designing Graphics for Data Presentations
Examples of Graphics
Where to Next?
Appendix: Introduction to Statistical Software