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Principles of Data Management and Presentation [Kõva köide]

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  • Formaat: Hardback, 288 pages, kõrgus x laius x paksus: 254x178x23 mm, 59 line drawings, 75 tables
  • Ilmumisaeg: 03-Jul-2017
  • Kirjastus: University of California Press
  • ISBN-10: 0520289951
  • ISBN-13: 9780520289956
Teised raamatud teemal:
Principles of Data Management and PresentationSuurem pilt
  • Formaat: Hardback, 288 pages, kõrgus x laius x paksus: 254x178x23 mm, 59 line drawings, 75 tables
  • Ilmumisaeg: 03-Jul-2017
  • Kirjastus: University of California Press
  • ISBN-10: 0520289951
  • ISBN-13: 9780520289956
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780520289956.html
Märksõnad:
"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 data, learning to work with data sets, or how to present data to various audiences. This book is designed for these purposes. It discusses how data are used in research projects, where to get data, how to manage them with software, and how to present them so that one's message comes through clearly. With few expectations beyond some familiarity with basic statistics and research methods, this book provides a comprehensive setof principles for understanding and using data as part of a research project"--Provided by publisher.

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. 
Preface xi
Acknowledgments xix
1 Why Research?
1(18)
Why Research
3(1)
What Is Research?
4(3)
Classifying Research
7(3)
Impediments to Conducting Sound Research
10(4)
How Can We Make Research Interesting and Persuasive?
14(1)
The Research Process
15(2)
Final Words
17(2)
2 Developing Research Questions
19(22)
Selecting a Topic
20(4)
From Topic to Research Question
24(8)
Refining Research Questions
32(4)
An Example
36(3)
Final Words
39(2)
3 Data
41(20)
What Are Data?
42(2)
Sources of Data
44(2)
From Concepts to Variables
46(6)
Forms of Data
52(5)
Final Words
57(4)
4 Principles of Data Management
61(28)
Codebooks
62(3)
Documentation
65(3)
Coding
68(2)
Data Cleaning and Screening
70(9)
Naming Conventions
79(1)
Principles of File Management
80(4)
Final Words
84(5)
5 Finding and Using Secondary Data
89(26)
Types of Secondary Data
90(1)
Why Use Secondary Data?
91(3)
Sources of Secondary Data
94(4)
Examples of Searching for, Downloading, and Importing Data
98(11)
A Simple Test of the Conceptual Model
109(2)
The Pew Research Center Data
111(1)
Final Words
111(4)
6 Primary and Administrative Data
115(22)
Principles for Primary Data
117(11)
Administrative Data and Linking Datasets
128(5)
Final Words
133(4)
7 Working with Missing Data
137(18)
Why Are Missing Data a Problem?
138(1)
Reasons for Missing Data
138(1)
Types of Missing Data
139(4)
Forms and Patterns of Missing Data
143(1)
Addressing Missing Data in the Analysis Stage
144(8)
Finals Words
152(3)
8 Principles of Data Presentation
155(22)
Presenting Data
157(1)
Visual Images
158(1)
First Principles: Clarity, Precision, and Efficiency
159(3)
Why Words Are Not Enough
162(1)
Types of Tables and Graphics
163(2)
Principles of Data Presentation
165(8)
Final Words
173(4)
9 Designing Tables for Data Presentations
177(16)
Table or Graphic?
179(1)
Tables
179(6)
Examples of Tables
185(5)
Final Words
190(3)
10 Designing Graphics for Data Presentations
193(42)
Graphics
195(5)
Examples of Graphics
200(31)
Where to Next?
231(3)
Final Words
234(1)
Appendix: Introduction to Statistical Software
235(10)
Stata
235(3)
SPSS
238(2)
SAS
240(1)
R
241(3)
Final Words
244(1)
References 245(10)
Index 255
John P. Hoffmann is Professor of Sociology at Brigham Young University. Before arriving at BYU, he was a senior research scientist at the National Opinion Research Center (NORC), a nonprofit firm affiliated with the University of Chicago. He received a master's in Law and Justice from American University and a doctorate in Criminal Justice from SUNY-Albany. He also received a master's in Public Health with emphases in Epidemiology and Behavioral Sciences at Emory University. His research addresses drug use, juvenile delinquency, and the sociology of religion.