Description

Book Synopsis
The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses-introductory statistics and research methods-does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: * how to narrow a research topic to a specific research question * how to access and organize data that are useful for answering a research question * how to use software such as Stata, SPSS, and SAS to manage data * how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience-specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.

Table of Contents
Preface
Acknowledgments

1 Why Research?

Why Research
What Is Research?
Classifying Research
Impediments to Conducting Sound Research
How Can We Make Research Interesting and Persuasive?
The Research Process
Final Words

2 Developing Research Questions

Selecting a Topic
From Topic to Research Question
Refining Research Questions
An Example
Final Words

3 Data

What Are Data?
Sources of Data
From Concepts to Variables
Forms of Data
Final Words

4 Principles of Data Management

Codebooks
Documentation
Coding
Data Cleaning and Screening
Naming Conventions
Principles of File Management
Final Words

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
Final Words

6 Primary and Administrative Data

Principles for Primary Data
Administrative Data and Linking Datasets
Final Words

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
Finals Words

8 Principles of Data Presentation

Presenting Data
Visual Images
First Principles: Clarity, Precision, and Efficiency
Why Words Are Not Enough
Types of Tables and Graphics
Principles of Data Presentation
Final Words

9 Designing Tables for Data Presentations

Table or Graphic?
Tables
Examples of Tables
Final Words

10 Designing Graphics for Data Presentations

Graphics
Examples of Graphics
Where to Next?
Final Words

Appendix: Introduction to Statistical Software

Stata
SPSS
SAS
R
Final Words

References
Index

Principles of Data Management and Presentation

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    A Paperback / softback by Dr. John P. Hoffmann

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      View other formats and editions of Principles of Data Management and Presentation by Dr. John P. Hoffmann

      Publisher: University of California Press
      Publication Date: 03/07/2017
      ISBN13: 9780520289949, 978-0520289949
      ISBN10: 0520289943

      Description

      Book Synopsis
      The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses-introductory statistics and research methods-does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: * how to narrow a research topic to a specific research question * how to access and organize data that are useful for answering a research question * how to use software such as Stata, SPSS, and SAS to manage data * how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience-specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.

      Table of Contents
      Preface
      Acknowledgments

      1 Why Research?

      Why Research
      What Is Research?
      Classifying Research
      Impediments to Conducting Sound Research
      How Can We Make Research Interesting and Persuasive?
      The Research Process
      Final Words

      2 Developing Research Questions

      Selecting a Topic
      From Topic to Research Question
      Refining Research Questions
      An Example
      Final Words

      3 Data

      What Are Data?
      Sources of Data
      From Concepts to Variables
      Forms of Data
      Final Words

      4 Principles of Data Management

      Codebooks
      Documentation
      Coding
      Data Cleaning and Screening
      Naming Conventions
      Principles of File Management
      Final Words

      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
      Final Words

      6 Primary and Administrative Data

      Principles for Primary Data
      Administrative Data and Linking Datasets
      Final Words

      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
      Finals Words

      8 Principles of Data Presentation

      Presenting Data
      Visual Images
      First Principles: Clarity, Precision, and Efficiency
      Why Words Are Not Enough
      Types of Tables and Graphics
      Principles of Data Presentation
      Final Words

      9 Designing Tables for Data Presentations

      Table or Graphic?
      Tables
      Examples of Tables
      Final Words

      10 Designing Graphics for Data Presentations

      Graphics
      Examples of Graphics
      Where to Next?
      Final Words

      Appendix: Introduction to Statistical Software

      Stata
      SPSS
      SAS
      R
      Final Words

      References
      Index

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