Political science research methods:
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London ; New Delhi ; Singapore
Sage
[2020]
|
| Edition: | Ninth edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Previous edition: 2016 Literaturangaben, Register |
| Physical Description: | xxvii, 371 Seiten Diagramme |
| ISBN: | 9781544331430 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Tables, Figures, and Features Preface XV xxi About the Authors xxvii Chapter 1 · Introduction Chapter2 · The Empirical Approach to Political Science 25 Chapters · Beginning the Research Process: Identifying a Research Topic, Developing Research Questions, and Reviewing the Literature 49 The Building Blocks of Social Scientific Research: Hypotheses, Concepts, Variables, and Measurement 73 Chapter 4 · 1 Chapters · Sampling 101 Chapter 6 · Research Design: Establishing Causation 121 Chapter 7 · Qualitative Research: Case Study Designs 135 Chapters · Making Empirical Observations: Qualitative Analysis 149 Chapter? · Quantitative Research Designs 169 Chapter 10 · Quantitative Methods 193 Chapter 11 · Making Sense of Data: First Steps 211 Chapter 12 · Testing Relationships 239 Chapter 13 · Analyzing Relationships for Categorical Data 267 Chapter 14 · Regression 307 Chapter 15 · The Research Report: An Annotated Example 331 Appendixes 345 Glossary 351 Index 359
Tables, Figures, and Features Preface xv xxi About the Authors Chapter 1 · Introduction xxvii 1 Research on Income Inequality 5 Politics and the Gender Gap 9 The Case of Italian (Non) Tax Compliance 15 Protests and Repression in New Democracies 18 The Observer Effect in International Politics: Evidence from a Natural Experiment 20 Conclusion 22 Terms Introduced 23 Chapter 2 · The Empirical Approach to Political Science 25 Elements of Empiricism 26 The Importance of Theory 31 An Example: Proximity Theory of Voting The Explanatory Range of Theories A Brief Overview of the Empirical Research Process 31 33 33 Development of an Idea to Investigate or a Problem to Solve 34 Hypothesis Formation 34 34 34 35 “Data Collection Interpretation and Decision Modification and Extension Reactions to the Empirical Approach: Practical Objections Self-Reflection and Individuality Is Political Science Trivial or Irrelevant? Competing Points of View Interpretation Constructionism and Critical Theory 35 36 37 38 39 40 Conclusion 43 Terms Introduced 43 Suggested Readings 44
Chapter3 · Beginning the Research Process: Identifying a Research Topic, Devetoping Research Questions, and Reviewing the Literature Specifying the Research Question 49 49 Sources of Ideas for Research Topics 51 Why Conduct a Literature Review? 54 Collecting Sources for a Literature Review 55 56 59 60 62 Identifying the Relevant Scholarly Literature Managing Citations Identifying Useful Popular Sources Reading the Literature Writing a Literature Review 63 Anatomy of a Literature Review 65 66 67 68 69 Scientific Relevance Building a Theory Disagreement in the Literature Data and Methods Conclusion 70 Terms Introduced 70 Suggested Readings 70 Chapter 4 · The Building Blocks of Social Scientific Research: Hypotheses, Concepts, Variables, and Measurement Proposing Exptanations Variables Formutating Hypotheses Characteristics of Good Hypotheses Specifying Units of Analysis Cross-Level Analysis: Ecological Inference and Ecological Fallacy 73 73 74 77 77 84 85 Defining Concepts 66 Devising Measurement Strategies 88 The Accuracy of Measurements 90 90 91 Reliability Validity The Precision of Measurements Levels of Measurement Working with Precision: Too Little or Too Much Conclusion Terms Introduced Suggested Readings 92 92 95 96 96 98
Chapters · Sampling 101 The Basics of Sampang ^շ How Do We Use a Sample to Learn about a Population? 103 Sampling Distribution Sample Size and Margin of Error 1Q4 107 Sampling Methods løg Types of Sampİes 109 Simple Random Samples щ Systematic Random Samples Stratified Samples иг 112 Cluster Samples 114 114 Nonprobability Samples Conclusion 117 Terms Introduced 117 Suggested Readings 119 Chapter 6 · Research Design: Establishing Causation Verifying Causal Assertions 121 122 Causal versus Spurious Relationships 122 The Classical Randomized Experiment Internal Validity 124 127 External Validity 129 Qualitative and Quantitative Methods and Analysis: Causes-of-Effects and Effects-of-Causes Approaches 130 Conclusion 132 Terms Introduced 132 Suggested Readings 133 Chapter? · Qualitative Research: Case Study Designs 135 Case Study Methods 135 Case Study Types Purposes of Case Studies 137 137 The Logic of Case Selection and Case Comparison 138 Using Cases to Explore Causal Mechanisms: Process Tracing 140 Generalizing from Case Studies 145 Conclusion 146 Terms Introduced 146 Suggested Readings 14^
Chapter 8 · Making Empirical Observations: Qualitative Analysis Types of Data and Collection Techniques Choosing among Data Collection Methods Data Collection in Qualitative Research Observation 149 149 153 I56 I®4 Concİusion ^4 Terms Introduced 165 Suggested Readings 166 Chapter 9 · Quantitative Research Designs Randomized Experimental Designs Posttest Design 169 169 170 Repeated-Measurement Design 170 Multiple-Group Design 172 Randomized Field Experiments 172 Natural Experiments 174 Nonrandomized Designs: Quasi-Experiments 181 Observational Studies 182 Cross-Sectional Design 183 Longitudinal (Time Series) Designs 184 Conclusion 190 Terms Introduced 190 Suggested Readings 191 Chapter 10 · Quantitative Methods 193 The Wide Variety of Quantitative Projects 193 Sources of Data for Quantitative Studies 194 Content Analysis 194 Content Analysis Procedures Surveys 195 196 Questionnaire Design Issues ^94 Question Wording 19? Question Order 199 Survey Types 200 Data Management 2θ2 Finding and Downloading Data 2θ3 Recording Data շ(յ4 Managing Data Ethical Concerns with Quantitative Methods Conclusion 206
Terms Introduced 207 Suggested Readings 207 Chapter 11 · Making Sense of Data: First Steps The Data Matrix 211 211 Data Description and Exploration 212 Frequency Distributions, Proportions, and Percentages 213 Descriptive Statistics 214 Measures of Central Tendency 215 Resistant Measures 217 Measures of Dispersion Graphs for Presentation and Exploration 218 226 Designing and Drawing Graphs 228 Bar Charts 229 Exploratory Graphs 229 Conclusion 235 Terms Introduced 236 Suggested Readings 237 Chapter 12 · Testing Relationships 239 The Normal Distribution and ¿Scores 239 Confidence Intervals 243 Population Confidence Intervals Sample Confidence Intervals Hypothesis Testing 243 247 249 Types of Hypotheses 249 Steps for Hypothesis Testing 252 Difference of Means Tests 253 Testing Hypotheses about Proportions 256 Reinforcing Interpretation of Hypothesis Testing 257 Testing a Relationship with Two Samples Difference of Means with Related Samples 260 260 Difference of Means with Independent Samples 261 Confidence Interval with Two Samples 263 Conclusion 264 Terms Introduced 264 Suggested Readings 265 Chapter 13 · Analyzing Relationships for Categorical Data The Basics of Identifying and Measuring Relationships 267 267 Level of Measurement 268 Types of Relationships 268
ТаЫе Summaries of Categorical Variable Associations 26? Measuring Strength of Relationships in Tables 275 Direction of a Relationship Measures of Association: Statistics for Reporting the Strength of Relationships in Tables 277 278 A Coefficient for Nominal Data 279 282 Coefficients for Ordinal Variables Chi-Square Test for Independence 287 Μ ultivariate Analysis of Categorical Data 290 Analysis of Variance: Analyzing the Difference between Means for More Than Two Means 299 Explained and Unexplained Variation 299 Significance Test for Analysis of Variance 302 Conclusion 304 Terms Introduced 305 Suggested Readings 306 Chapter 14 · Regression 307 Logic of Regression 307 The Classical Assumptions of Linear Regression Models 307 Scatterplots 309 Minimizing the Sum of the Squared Error 310 The Linear Regression Model 312 Regression 313 Measuring Correlation: Pearson’s г 318 Measuring the Fit of a Regression Line: R-Squared 318 Multivariate Regression 319 Interpreting Regression Tables 321 Categorical Independent Variables Maximum Likelihood Models for Dichotomous Dependent Variables The Logic of Maximum Likelihood 323 324 325 Interpreting a Logistic Regression Table 325 Predicted Probabilities 327 Conclusion 222 Terms Introduced շշշ Suggested Readings Chapter 15 . The Research Report: An Annotated Example Annotated Research Report Example 331 33շ
Appendixes 345 Appendix A: Normal Curve Tail Probabilities 345 Appendix В: Critical Values from f Distribution 346 Appendix C: Chi-Squared Distribution Values for Various Right-Tail Probabilities 347 Appendix D: F Distribution 348 Glossary 351 Index 359
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| adam_txt |
Tables, Figures, and Features Preface XV xxi About the Authors xxvii Chapter 1 · Introduction Chapter2 · The Empirical Approach to Political Science 25 Chapters · Beginning the Research Process: Identifying a Research Topic, Developing Research Questions, and Reviewing the Literature 49 The Building Blocks of Social Scientific Research: Hypotheses, Concepts, Variables, and Measurement 73 Chapter 4 · 1 Chapters · Sampling 101 Chapter 6 · Research Design: Establishing Causation 121 Chapter 7 · Qualitative Research: Case Study Designs 135 Chapters · Making Empirical Observations: Qualitative Analysis 149 Chapter? · Quantitative Research Designs 169 Chapter 10 · Quantitative Methods 193 Chapter 11 · Making Sense of Data: First Steps 211 Chapter 12 · Testing Relationships 239 Chapter 13 · Analyzing Relationships for Categorical Data 267 Chapter 14 · Regression 307 Chapter 15 · The Research Report: An Annotated Example 331 Appendixes 345 Glossary 351 Index 359
Tables, Figures, and Features Preface xv xxi About the Authors Chapter 1 · Introduction xxvii 1 Research on Income Inequality 5 Politics and the Gender Gap 9 The Case of Italian (Non) Tax Compliance 15 Protests and Repression in New Democracies 18 The Observer Effect in International Politics: Evidence from a Natural Experiment 20 Conclusion 22 Terms Introduced 23 Chapter 2 · The Empirical Approach to Political Science 25 Elements of Empiricism 26 The Importance of Theory 31 An Example: Proximity Theory of Voting The Explanatory Range of Theories A Brief Overview of the Empirical Research Process 31 33 33 Development of an Idea to Investigate or a Problem to Solve 34 Hypothesis Formation 34 34 34 35 “Data" Collection Interpretation and Decision Modification and Extension Reactions to the Empirical Approach: Practical Objections Self-Reflection and Individuality Is Political Science Trivial or Irrelevant? Competing Points of View Interpretation Constructionism and Critical Theory 35 36 37 38 39 40 Conclusion 43 Terms Introduced 43 Suggested Readings 44
Chapter3 · Beginning the Research Process: Identifying a Research Topic, Devetoping Research Questions, and Reviewing the Literature Specifying the Research Question 49 49 Sources of Ideas for Research Topics 51 Why Conduct a Literature Review? 54 Collecting Sources for a Literature Review 55 56 59 60 62 Identifying the Relevant Scholarly Literature Managing Citations Identifying Useful Popular Sources Reading the Literature Writing a Literature Review 63 Anatomy of a Literature Review 65 66 67 68 69 Scientific Relevance Building a Theory Disagreement in the Literature Data and Methods Conclusion 70 Terms Introduced 70 Suggested Readings 70 Chapter 4 · The Building Blocks of Social Scientific Research: Hypotheses, Concepts, Variables, and Measurement Proposing Exptanations Variables Formutating Hypotheses Characteristics of Good Hypotheses Specifying Units of Analysis Cross-Level Analysis: Ecological Inference and Ecological Fallacy 73 73 74 77 77 84 85 Defining Concepts 66 Devising Measurement Strategies 88 The Accuracy of Measurements 90 90 91 Reliability Validity The Precision of Measurements Levels of Measurement Working with Precision: Too Little or Too Much Conclusion Terms Introduced Suggested Readings 92 92 95 96 96 98
Chapters · Sampling 101 The Basics of Sampang ^շ How Do We Use a Sample to Learn about a Population? 103 Sampling Distribution Sample Size and Margin of Error 1Q4 107 Sampling Methods løg Types of Sampİes 109 Simple Random Samples щ Systematic Random Samples Stratified Samples иг 112 Cluster Samples 114 114 Nonprobability Samples Conclusion 117 Terms Introduced 117 Suggested Readings 119 Chapter 6 · Research Design: Establishing Causation Verifying Causal Assertions 121 122 Causal versus Spurious Relationships 122 The Classical Randomized Experiment Internal Validity 124 127 External Validity 129 Qualitative and Quantitative Methods and Analysis: Causes-of-Effects and Effects-of-Causes Approaches 130 Conclusion 132 Terms Introduced 132 Suggested Readings 133 Chapter? · Qualitative Research: Case Study Designs 135 Case Study Methods 135 Case Study Types Purposes of Case Studies 137 137 The Logic of Case Selection and Case Comparison 138 Using Cases to Explore Causal Mechanisms: Process Tracing 140 Generalizing from Case Studies 145 Conclusion 146 Terms Introduced 146 Suggested Readings 14^
Chapter 8 · Making Empirical Observations: Qualitative Analysis Types of Data and Collection Techniques Choosing among Data Collection Methods Data Collection in Qualitative Research Observation 149 149 153 I56 I®4 Concİusion ^4 Terms Introduced 165 Suggested Readings 166 Chapter 9 · Quantitative Research Designs Randomized Experimental Designs Posttest Design 169 169 170 Repeated-Measurement Design 170 Multiple-Group Design 172 Randomized Field Experiments 172 Natural Experiments 174 Nonrandomized Designs: Quasi-Experiments 181 Observational Studies 182 Cross-Sectional Design 183 Longitudinal (Time Series) Designs 184 Conclusion 190 Terms Introduced 190 Suggested Readings 191 Chapter 10 · Quantitative Methods 193 The Wide Variety of Quantitative Projects 193 Sources of Data for Quantitative Studies 194 Content Analysis 194 Content Analysis Procedures Surveys 195 196 Questionnaire Design Issues ^94 Question Wording 19? Question Order 199 Survey Types 200 Data Management 2θ2 Finding and Downloading Data 2θ3 Recording Data շ(յ4 Managing Data Ethical Concerns with Quantitative Methods Conclusion 206
Terms Introduced 207 Suggested Readings 207 Chapter 11 · Making Sense of Data: First Steps The Data Matrix 211 211 Data Description and Exploration 212 Frequency Distributions, Proportions, and Percentages 213 Descriptive Statistics 214 Measures of Central Tendency 215 Resistant Measures 217 Measures of Dispersion Graphs for Presentation and Exploration 218 226 Designing and Drawing Graphs 228 Bar Charts 229 Exploratory Graphs 229 Conclusion 235 Terms Introduced 236 Suggested Readings 237 Chapter 12 · Testing Relationships 239 The Normal Distribution and ¿Scores 239 Confidence Intervals 243 Population Confidence Intervals Sample Confidence Intervals Hypothesis Testing 243 247 249 Types of Hypotheses 249 Steps for Hypothesis Testing 252 Difference of Means Tests 253 Testing Hypotheses about Proportions 256 Reinforcing Interpretation of Hypothesis Testing 257 Testing a Relationship with Two Samples Difference of Means with Related Samples 260 260 Difference of Means with Independent Samples 261 Confidence Interval with Two Samples 263 Conclusion 264 Terms Introduced 264 Suggested Readings 265 Chapter 13 · Analyzing Relationships for Categorical Data The Basics of Identifying and Measuring Relationships 267 267 Level of Measurement 268 Types of Relationships 268
ТаЫе Summaries of Categorical Variable Associations 26? Measuring Strength of Relationships in Tables 275 Direction of a Relationship Measures of Association: Statistics for Reporting the Strength of Relationships in Tables 277 278 A Coefficient for Nominal Data 279 282 Coefficients for Ordinal Variables Chi-Square Test for Independence 287 Μ ultivariate Analysis of Categorical Data 290 Analysis of Variance: Analyzing the Difference between Means for More Than Two Means 299 Explained and Unexplained Variation 299 Significance Test for Analysis of Variance 302 Conclusion 304 Terms Introduced 305 Suggested Readings 306 Chapter 14 · Regression 307 Logic of Regression 307 The Classical Assumptions of Linear Regression Models 307 Scatterplots 309 Minimizing the Sum of the Squared Error 310 The Linear Regression Model 312 Regression 313 Measuring Correlation: Pearson’s г 318 Measuring the Fit of a Regression Line: R-Squared 318 Multivariate Regression 319 Interpreting Regression Tables 321 Categorical Independent Variables Maximum Likelihood Models for Dichotomous Dependent Variables The Logic of Maximum Likelihood 323 324 325 Interpreting a Logistic Regression Table 325 Predicted Probabilities 327 Conclusion 222 Terms Introduced շշշ Suggested Readings Chapter 15 . The Research Report: An Annotated Example Annotated Research Report Example 331 33շ
Appendixes 345 Appendix A: Normal Curve Tail Probabilities 345 Appendix В: Critical Values from f Distribution 346 Appendix C: Chi-Squared Distribution Values for Various Right-Tail Probabilities 347 Appendix D: F Distribution 348 Glossary 351 Index 359 |
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| spelling | Johnson, Janet Elise 1972- Verfasser (DE-588)1147807442 aut Political science research methods Janet Buttolph Johnson (University of Delaware), H. T. Reynolds (University of Delaware), Jason D. Mycoff (University of Delaware) Ninth edition London ; New Delhi ; Singapore Sage [2020] Thousand Oaks, California CQ Press © 2020 xxvii, 371 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Previous edition: 2016 Literaturangaben, Register Politische Wissenschaft (DE-588)4076229-4 gnd rswk-swf Methodologie (DE-588)4139716-2 gnd rswk-swf Political science / Research / Methodology Politische Wissenschaft (DE-588)4076229-4 s Methodologie (DE-588)4139716-2 s DE-604 Reynolds, H. T. 1940-2019 Verfasser (DE-588)1075867835 aut Mycoff, Jason D. 1975- Verfasser (DE-588)137609418 aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033015158&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Johnson, Janet Elise 1972- Reynolds, H. T. 1940-2019 Mycoff, Jason D. 1975- Political science research methods Politische Wissenschaft (DE-588)4076229-4 gnd Methodologie (DE-588)4139716-2 gnd |
| subject_GND | (DE-588)4076229-4 (DE-588)4139716-2 |
| title | Political science research methods |
| title_auth | Political science research methods |
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| title_full | Political science research methods Janet Buttolph Johnson (University of Delaware), H. T. Reynolds (University of Delaware), Jason D. Mycoff (University of Delaware) |
| title_fullStr | Political science research methods Janet Buttolph Johnson (University of Delaware), H. T. Reynolds (University of Delaware), Jason D. Mycoff (University of Delaware) |
| title_full_unstemmed | Political science research methods Janet Buttolph Johnson (University of Delaware), H. T. Reynolds (University of Delaware), Jason D. Mycoff (University of Delaware) |
| title_short | Political science research methods |
| title_sort | political science research methods |
| topic | Politische Wissenschaft (DE-588)4076229-4 gnd Methodologie (DE-588)4139716-2 gnd |
| topic_facet | Politische Wissenschaft Methodologie |
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