An introduction to empirical legal research / Lee Epstein, Andrew D. Martin.
2014
K85 .E78 2014 (Map It)
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Details
Author
Title
An introduction to empirical legal research / Lee Epstein, Andrew D. Martin.
Published
Oxford : Oxford University Press, 2014.
Call Number
K85 .E78 2014
Edition
First edition.
ISBN
0199669058 (cloth)
9780199669059 (cloth)
0199669066 (Paper)
9780199669066 (Paper)
9780199669059 (cloth)
0199669066 (Paper)
9780199669066 (Paper)
Description
xiv, 324 pages : illustrations ; 24 cm
System Control No.
(OCoLC)891136365
Bibliography, etc. Note
Includes bibliographical references and index.
Record Appears in
Added Author
Table of Contents
1.
Some Preliminaries
1
1.1.
Defining Empirical Research
1
1.2.
Conducting Empirical Research in a World Without Constraints
4
1.3.
Conducting Empirical Research in a World With Constraints
7
1.4.
(Revisiting) The Goals of Empirical Research
15
pt. I
Designing Research
19
2.
Questions, Theories, Observable Implications
23
2.1.
Research Questions
23
2.2.
Theories and their Observable Implications
30
2.3.
Rival Explanations
37
3.
Measurement
41
3.1.
Measuring Concepts
43
3.2.
Evaluating Measures and Measurement Methods
46
pt. II
Collecting and Coding Data
59
4.
Collecting Data
63
4.1.
Identifying the Target Population
63
4.2.
Locating and Generating Data
65
4.3.
Deciding How Much Data to Collect
85
5.
Coding Data
95
5.1.
Developing Coding Schemes
97
5.2.
Assigning a Value to Each Unit Under Study
106
pt. III
Analyzing Data
117
6.
Summarizing Data
119
6.1.
Variables
120
6.2.
An Introduction to Tools for Summarizing Variables
123
6.3.
Displays
124
6.4.
Descriptive Statistics
130
6.5.
The Empirical Rule
138
7.
Statistical Inference
143
7.1.
The Logic of Statistical Inference
144
7.2.
Confidence Intervals
149
7.3.
Hypothesis Testing
155
7.4.
Cross-Tabulation and Tests for Tables
165
8.
Regression Analysis: The Basics
173
8.1.
Lines and Linear Relationships
174
8.2.
Ordinary Least Squares
176
8.3.
Simple Linear Regression and Statistical Inference
182
9.
Multiple Regression Analysis and Related Methods
193
9.1.
Multiple Regression
195
9.2.
Model Specification
205
9.3.
Logistic Regression
212
pt. IV
Communicating Data and Results
223
10.
General Principles for Communicating and Visualizing Data and Results
229
10.1.
General Principles for Communicating Data and Results
231
10.2.
General Principles for Visualizing Data and Results
245
11.
Strategies for Presenting Data and Statistical Results
259
11.1.
Communicating Data
260
11.2.
Presenting Results
278
12.
Concluding Remarks
291
Appendix A
Supplementary Materials
295
A.1.
Additional Resources
295
A.2.
Statistics Glossary
295
A.3.
Statistical Notation
298
References
299
Index
317