The fundamentals of political science research:
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
Cambridge University Press
2013
|
| Edition: | Second edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXIV, 316 Seiten Diagramme 26 cm |
| ISBN: | 9781107621664 |
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| adam_text | Titel: The fundamentals of political science research
Autor: Kellstedt, Paul M
Jahr: 2013
Contents
List of Figures page xv
List of Tables xvii
Preface to the Second Edition xix
Acknowledgments to the Second Edition xxi
Acknowledgments to the First Edition xxiii
The Scientific Study of Politics................ 1
Overview 1
1.1 Political Science} 1
1.2 Approaching Politics Scientifically: The Search for Causal
Explanations 3
1.3 Thinking about the World in Terms of Variables and Causal
Explanations 7
1.4 Models of Politics 15
1.5 Rules of the Road to Scientific Knowledge about Politics 16
1.5.1 Make Your Theories Causal 16
1.5.2 Don t Let Data Alone Drive Your Theories 17
1.5.3 Consider Only Empirical Evidence 18
1.5.4 Avoid Normative Statements 18
1.5.5 Pursue Both Generality and Parsimony 19
1.6 A Quick Look Ahead 19
Concepts Introduced in This Chapter 20
Exercises 21
The Art of Theory Building.................. 24
Overview 24
2.1 Good Theories Come from Good Theory-Building Strategies 24
2.2 Promising Theories Offer Answers to Interesting Research
Questions 25
2.3 Identifying Interesting Variation 26
2.3.1 Time-Series Example 27
2.3.2 Cross-Sectional Example 28
2.4 Learning to Use Your Knowledge 29
2.4.1 Moving from a Specific Event to More General Theories 30
2.4.2 Know Local, Think Global: Can You Drop the Proper
Nouns? 31
2.5 Examine Previous Research 32
2.5.1 What Did the Previous Researchers Miss? 32
2.5.2 Can Their Theory Be Applied Elsewhere? 33
2.5.3 If We Believe Their Findings, Are There Further
Implications? 33
2.5.4 How Might This Theory Work at Different Levels of
Aggregation (Micro4= Macro)? 34
2.6 Think Formally about the Causes That Lead to Variation in Your
Dependent Variable 34
2.6.1 Utility and Expected Utility 36
2.6.2 The Puzzle of Turnout 38
2.7 Think about the Institutions: The Rules Usually Matter 40
2.7.1 Legislative Rules 40
2.7.2 The Rules Matter! 42
2.8 Extensions 43
2.9 How Do I Know If I Have a Good Theory? 44
2.9.1 Does Your Theory Offer an Answer to an Interesting
Research Question? 44
2.9.2 Is Your Theory Causal? 44
2.9.3 Can You Test Your Theory on Data That You Have Not
Yet Observed? 45
2.9.4 How General Is Your Theory? 45
2.9.5 How Parsimonious Is Your Theory? 45
2.9.6 How New Is Your Theory? 46
2.9.7 How Nonobvious Is Your Theory? 46
2.10 Conclusion 46
Concepts Introduced in This Chapter 47
Exercises 47
Evaluating Causal Relationships............... 51
Overview 51
3.1 Causality and Everyday Language 51
3.2 Four Hurdles Along the Route to Establishing
Causal Relationships 54
3.2.1 Putting It All Together - Adding Up the Answers to Our
Four Questions 56
3.2.2 Identifying Causal Claims Is an Essential Thinking Skill 57
3.2.3 What Are the Consequences of Failing to Control for
Other Possible Causes? 61
3.3 Why Is Studying Causality So Important? Three Examples from
Political Science 62
3.3.1 Life Satisfaction and Democratic Stability 62
3.3.2 Race and Political Participation in the United States 63
3.3.3 Evaluating Whether Head Start Is Effective 64
3.4 Wrapping Up 66
Concepts Introduced in This Chapter 66
Exercises 66
Research Design....................... 69
Overview 69
4.1 Comparison as the Key to Establishing Causal Relationships 69
4.2 Experimental Research Designs 70
4.2.1 Random Assignment versus Random Sampling 76
4.2.2 Varieties of Experiments and Near-Experiments 77
4.2.3 Are There Drawbacks to Experimental Research Designs? 78
4.3 Observational Studies (in Two Flavors) 82
4.3.1 Datum, Data, Data Set 84
4.3.2 Cross-Sectional Observational Studies 85
4.3.3 Time-Series Observational Studies 86
4.3.4 The Major Difficulty with Observational Studies 87
4.4 Summary 88
Concepts Introduced in This Chapter 89
Exercises 90
Getting to Know Your Data: Evaluating Measurement
and Variations ........................ 92
Overview 92
5.1 Getting to Know Your Data 93
5.2 Social Science Measurement: The Varying Challenges of
Quantifying Humanity 95
5.3 Problems in Measuring Concepts of Interest 98
5.3.1 Conceptual Clarity 99
5.3.2 Reliability 99
5.3.3 Measurement Bias and Reliability 100
5.3.4 Validity 101
5.3.5 The Relationship between Validity and Reliability 102
5.4 Controversy 1: Measuring Democracy 103
5.5 Controversy 2: Measuring Political Tolerance 107
5.6 Are There Consequences to Poor Measurement? 109
5.7 Getting to Know Your Data Statistically 109
5.8 What Is the Variable s Measurement Metrie? 111
5.8.1 Categorical Variables 111
5.8.2 Ordinal Variables 112
5.8.3 Continuous Variables 113
5.8.4 Variable Types and Statistical Analyses 114
5.9 Describing Categorical Variables 114
5.10 Describing Continuous Variables 116
5.10.1 Rank Statistics 117
5.10.2 Moments 120
5.11 Limitations of Descriptive Statistics and Graphs 122
5.12 Conclusions 124
Concepts Introduced in This Chapter 124
Exercises 126
Probability and Statistical Inference............. 129
Overview 129
6.1 Populations and Samples 129
6.2 Some Basics of Probability Theory 131
6.3 Learning about the Population from a Sample: The Central Limit
Theorem 133
6.3.1 The Normal Distribution 134
6.4 Example: Presidential Approval Ratings 139
6.4.1 What Kind of Sample Was That? 140
6.4.2 A Note on the Effects of Sample Size 141
6.5 A Look Ahead: Examining Relationships between Variables 142
Concepts Introduced in This Chapter 143
Exercises 143
Bivariate Hypothesis Testing................. 145
Overview 145
7.1 Bivariate Hypothesis Tests and Establishing Causal
Relationships 145
7.2 Choosing the Right Bivariate Hypothesis Test 146
7.3 All Roads Lead to p 147
7.3.1 The Logic of p-Values 147
7.3.2 The Limitations of p-Values 148
7.3.3 From p-Values to Statistical Significance 149
7.3.4 The Null Hypothesis and p-Values 150
7.4 Three Bivariate Hypothesis Tests 150
7.4.1 Example 1: Tabular Analysis 150
7.4.2 Example 2: Difference of Means 156
7.4.3 Example 3: Correlation Coefncient 161
7.5 Wrapping Up 167
Concepts Introduced in This Chapter 167
Exercises 168
Bivariate Regression Models................. 171
Overview 171
8.1 Two-Variable Regression 171
8.2 Fitting a Line: Population •£ • Sample 172
8.3 Which Line Fits Best? Estimating the Regression Line 174
8.4 Measuring Our Uncertainty about the OLS Regression Line 178
8.4.1 Goodness-of-Fit: Root Mean-Squared Error 179
8.4.2 Goodness-of-Fit: H-Squared Statistic 179
8.4.3 Is That a Good Goodness-of-Fit? 181
8.4.4 Uncertainty about Individual Components of the Sample
Regression Model 182
8.4.5 Confidence Intervals about Parameter Estimates 183
8.4.6 Two-Tailed Hypothesis Tests 185
8.4.7 The Relationship between Confidence Intervals and
Two-Tailed Hypothesis Tests 187
8.4.8 One-Tailed Hypothesis Tests 188
8.5 Assumptions, More Assumptions, and Minimal Mathematical
Requirements 189
8.5.1 Assumptions about the Population Stochastic
Component 190
8.5.2 Assumptions about Our Model Specification 192
8.5.3 Minimal Mathematical Requirements 193
8.5.4 How Can We Make All of These Assumptions? 194
Concepts Introduced in This Chapter 194
Exercises 195
Multiple Regression: The Basics............... 197
Overview 197
9.1 Modeling Multivariate Reality 197
9.2 The Population Regression Function 198
9.3 From Two-Variable to Multiple Regression 198
9.4 Interpreting Multiple Regression 202
9.5 Which Effect Is Biggest ? 206
9.6 Statistical and Substantive Significance 207
9.7 What Happens When We Fail to Control for Z ? 209
9.7.1 An Additional Minimal Mathematical Requirement in
Multiple Regression 213
9.8 An Example from the Literature: Competing Theories of How
Politics Affects International Trade 214
9.9 Implications 216
Concepts Introduced in This Chapter 217
Exercises 218
{] Multiple Regression Model Specification .......... 220
Overview 220
10.1 Extensions of OLS 220
10.2 Being Smart with Dummy Independent Variables in OLS 220
10.2.1 Using Dummy Variables to Test Hypotheses about a
Categorical Independent Variable with Only Two Values 221
10.2.2 Using Dummy Variables to Test Hypotheses about a
Categorical Independent Variable with More Than Two
Values 225
10.2.3 Using Dummy Variables to Test Hypotheses about
Multiple Independent Variables 228
10.3 Testing Interactive Hypotheses with Dummy Variables 229
10.4 Outliers and Influential Cases in OLS 232
10.4.1 Identifying Influential Cases 233
10.4.2 Dealing with Influential Cases 236
10.5 Multicollinearity 238
10.5.1 How Does Multicollinearity Happen? 238
10.5.2 Detecting Multicollinearity 239
10.5.3 Multicollinearity: A Simulated Example 240
10.5.4 Multicollinearity: A Real-World Example 242
10.5.5 Multicollinearity: What Should I Do? 244
10.6 WrappingUp 244
Concepts Introduced in This Chapter 245
Exercises 245
Limited Dependent Variables and Time-Series Data .... 247
Overview 247
11.1 Extensions of OLS 247
11.2 Dummy Dependent Variables 248
11.2.1 The Linear Probability Model 248
11.2.2 Binomial Logit and Binomial Probit 251
11.2.3 Goodness-of-Fit with Dummy Dependent Variables 254
11.3 Being Careful with Time Series 256
11.3.1 Time-Series Notation 256
11.3.2 Memory and Lags in Time-Series Analysis 257
11.3.3 Trends and the Spurious Regression Problem 259
11.3.4 The Differenced Dependent Variable 262
11.3.5 The Lagged Dependent Variable 263
11.4 Example: The Economy and Presidential Popularity 265
11.5 WrappingUp 269
Concepts Introduced in This Chapter 269
Exercises 270
Putting It All Together to Produce Effective Research . . . 273
Overview 273
12.1 Two Routes toward a New Scientific Project 273
12.1.1 Project Type 1: A New Y (and Some X) 274
12.1.2 Project Type 2: An Existing Y and a New X 275
12.1.3 Variants on the Two Project Types 276
12.2 Using the Literature without Getting Buried in It 278
12.2.1 Identifying the Important Work on a Subject - Using
Citation Counts 278
12.2.2 Oh No! Someone Else Has Already Done What I Was
Planning to Do. What Do I Do Now? 279
12.2.3 Dissecting the Research by Other Scholars 279
12.2.4 Read Effectively to Write Effectively 280
12.3 Writing Effectively about Your Research 281
12.3.1 Write Early, Write Often because Writing Is Thinking 281
12.3.2 Document Your Code - Writing and Thinking while
You Compute 282
12.3.3 Divide and Conquer - a Section-by-Section Strategy for
Building Your Project 282
12.3.4 Proofread, Proofread, and Then Proofread Again 285
12.4 Making Effective Use of Tables and Figures 286
12.4.1 Constructing Regression Tables 287
12.4.2 Writing about Regression Tables 290
12.4.3 Other Types of Tables and Figures 292
Exercises 293
Appendix A. Critical Values of Chi-Square ......... 295
Appendix B. Critical Values of t............... 296
Appendix C. The A Link Function for Binomial Logit Models 297
Appendix D. The $ Link Function for Binomial Probit Models 299
Bibliography 301
Index 307
|
| any_adam_object | 1 |
| author | Kellstedt, Paul M. 1968- Whitten, Guy D. 1965- |
| author_GND | (DE-588)140932119 (DE-588)140932127 |
| author_facet | Kellstedt, Paul M. 1968- Whitten, Guy D. 1965- |
| author_role | aut aut |
| author_sort | Kellstedt, Paul M. 1968- |
| author_variant | p m k pm pmk g d w gd gdw |
| building | Verbundindex |
| bvnumber | BV040921388 |
| callnumber-first | J - Political Science |
| callnumber-label | JA86 |
| callnumber-raw | JA86 |
| callnumber-search | JA86 |
| callnumber-sort | JA 286 |
| callnumber-subject | JA - Political Science |
| classification_rvk | MB 2300 MB 2520 MB 2700 |
| classification_tum | POL 050f |
| ctrlnum | (OCoLC)856794589 (DE-599)BVBBV040921388 |
| dewey-full | 320.072 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 320 - Political science (Politics and government) |
| dewey-raw | 320.072 |
| dewey-search | 320.072 |
| dewey-sort | 3320.072 |
| dewey-tens | 320 - Political science (Politics and government) |
| discipline | Politologie |
| edition | Second edition |
| format | Book |
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| id | DE-604.BV040921388 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:35:24Z |
| institution | BVB |
| isbn | 9781107621664 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025900536 |
| oclc_num | 856794589 |
| open_access_boolean | |
| owner | DE-521 DE-473 DE-BY-UBG DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-739 DE-91 DE-BY-TUM |
| owner_facet | DE-521 DE-473 DE-BY-UBG DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-739 DE-91 DE-BY-TUM |
| physical | XXIV, 316 Seiten Diagramme 26 cm |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Kellstedt, Paul M. 1968- Verfasser (DE-588)140932119 aut The fundamentals of political science research Paul M. Kellstedt (Texas A&M University), Guy D. Whitten (Texas A&M University) Political science research Second edition New York, NY Cambridge University Press 2013 XXIV, 316 Seiten Diagramme 26 cm txt rdacontent n rdamedia nc rdacarrier Politische Wissenschaft Political science Research Forschungsmethode (DE-588)4155046-8 gnd rswk-swf Politische Wissenschaft (DE-588)4076229-4 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Theoriebildung (DE-588)4185105-5 gnd rswk-swf Methodologie (DE-588)4139716-2 gnd rswk-swf Forschungsprozess (DE-588)4155054-7 gnd rswk-swf Politische Wissenschaft (DE-588)4076229-4 s Methodologie (DE-588)4139716-2 s DE-604 Forschungsmethode (DE-588)4155046-8 s Forschungsprozess (DE-588)4155054-7 s 1\p DE-604 Theoriebildung (DE-588)4185105-5 s 2\p DE-604 Empirische Sozialforschung (DE-588)4014606-6 s Methode (DE-588)4038971-6 s 3\p DE-604 Whitten, Guy D. 1965- Verfasser (DE-588)140932127 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025900536&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kellstedt, Paul M. 1968- Whitten, Guy D. 1965- The fundamentals of political science research Politische Wissenschaft Political science Research Forschungsmethode (DE-588)4155046-8 gnd Politische Wissenschaft (DE-588)4076229-4 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Methode (DE-588)4038971-6 gnd Theoriebildung (DE-588)4185105-5 gnd Methodologie (DE-588)4139716-2 gnd Forschungsprozess (DE-588)4155054-7 gnd |
| subject_GND | (DE-588)4155046-8 (DE-588)4076229-4 (DE-588)4014606-6 (DE-588)4038971-6 (DE-588)4185105-5 (DE-588)4139716-2 (DE-588)4155054-7 |
| title | The fundamentals of political science research |
| title_alt | Political science research |
| title_auth | The fundamentals of political science research |
| title_exact_search | The fundamentals of political science research |
| title_full | The fundamentals of political science research Paul M. Kellstedt (Texas A&M University), Guy D. Whitten (Texas A&M University) |
| title_fullStr | The fundamentals of political science research Paul M. Kellstedt (Texas A&M University), Guy D. Whitten (Texas A&M University) |
| title_full_unstemmed | The fundamentals of political science research Paul M. Kellstedt (Texas A&M University), Guy D. Whitten (Texas A&M University) |
| title_short | The fundamentals of political science research |
| title_sort | the fundamentals of political science research |
| topic | Politische Wissenschaft Political science Research Forschungsmethode (DE-588)4155046-8 gnd Politische Wissenschaft (DE-588)4076229-4 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Methode (DE-588)4038971-6 gnd Theoriebildung (DE-588)4185105-5 gnd Methodologie (DE-588)4139716-2 gnd Forschungsprozess (DE-588)4155054-7 gnd |
| topic_facet | Politische Wissenschaft Political science Research Forschungsmethode Empirische Sozialforschung Methode Theoriebildung Methodologie Forschungsprozess |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025900536&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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