Political Science Research Methods 9th Edition by Janet Johnson – Ebook PDF Instant Download/Delivery: 1544331436 , 9781544331430
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ISBN 10: 1544331436
ISBN 13: 9781544331430
Author: Janet Johnson
Political Science Research Methods 9th Table of contents:
Chapter 1 • Introduction
Research on Income Inequality
Politics and the Gender Gap
The Case of Italian (Non) Tax Compliance
Protests and Repression in New Democracies
The Observer Effect in International Politics: Evidence from a Natural Experiment
Conclusion
Terms Introduced
Chapter 2 • The Empirical Approach to Political Science
Elements of Empiricism
The Importance of Theory
An Example: Proximity Theory of Voting
The Explanatory Range of Theories
A Brief Overview of the Empirical Research Process
Development of an Idea to Investigate or a Problem to Solve
Hypothesis Formation
“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
Conclusion
Terms Introduced
Suggested Readings
Chapter 3 • Beginning the Research Process: Identifying a Research Topic, Developing Research Questions, and Reviewing the Literature
Specifying the Research Question
Sources of Ideas for Research Topics
Why Conduct a Literature Review?
Collecting Sources for a Literature Review
Identifying the Relevant Scholarly Literature
Managing Citations
Identifying Useful Popular Sources
Reading the Literature
Writing a Literature Review
Anatomy of a Literature Review
Scientific Relevance
Building a Theory
Disagreement in the Literature
Data and Methods
Conclusion
Terms Introduced
Suggested Readings
Chapter 4 • The Building Blocks of Social Scientific Research: Hypotheses, Concepts, Variables, and Measurement
Proposing Explanations
Variables
Formulating Hypotheses
Characteristics of Good Hypotheses
Specifying Units of Analysis
Cross-Level Analysis: Ecological Inference and Ecological Fallacy
Defining Concepts
Devising Measurement Strategies
The Accuracy of Measurements
Reliability
Validity
The Precision of Measurements
Levels of Measurement
Working with Precision: Too Little or Too Much
Conclusion
Terms Introduced
Suggested Readings
Chapter 5 • Sampling
The Basics of Sampling
How Do We Use a Sample to Learn about a Population?
Sampling Distribution
Sample Size and Margin of Error
Sampling Methods
Types of Samples
Simple Random Samples
Systematic Random Samples
Stratified Samples
Cluster Samples
Nonprobability Samples
Conclusion
Terms Introduced
Suggested Readings
Chapter 6 • Research Design: Establishing Causation
Verifying Causal Assertions
Causal versus Spurious Relationships
The Classical Randomized Experiment
Internal Validity
External Validity
Qualitative and Quantitative Methods and Analysis: Causes-of-Effects and Effects-of-Causes Approaches
Conclusion
Terms Introduced
Suggested Readings
Chapter 7 • Qualitative Research: Case Study Designs
Case Study Methods
Case Study Types
Purposes of Case Studies
The Logic of Case Selection and Case Comparison
Using Cases to Explore Causal Mechanisms: Process Tracing
Generalizing from Case Studies
Conclusion
Terms Introduced
Suggested Readings
Chapter 8 • Making Empirical Observations: Qualitative Analysis
Types of Data and Collection Techniques
Choosing among Data Collection Methods
Data Collection in Qualitative Research
Observation
Conclusion
Terms Introduced
Suggested Readings
Chapter 9 • Quantitative Research Designs
Randomized Experimental Designs
Posttest Design
Repeated-Measurement Design
Multiple-Group Design
Randomized Field Experiments
Natural Experiments
Nonrandomized Designs: Quasi-Experiments
Observational Studies
Cross-Sectional Design
Longitudinal (Time Series) Designs
Conclusion
Terms Introduced
Suggested Readings
Chapter 10 • Quantitative Methods
The Wide Variety of Quantitative Projects
Sources of Data for Quantitative Studies
Content Analysis
Content Analysis Procedures
Surveys
Questionnaire Design Issues
Question Wording
Question Order
Survey Types
Data Management
Finding and Downloading Data
Recording Data
Managing Data
Ethical Concerns with Quantitative Methods
Conclusion
Terms Introduced
Suggested Readings
Chapter 11 • Making Sense of Data: First Steps
The Data Matrix
Data Description and Exploration
Frequency Distributions, Proportions, and Percentages
Descriptive Statistics
Measures of Central Tendency
Resistant Measures
Measures of Dispersion
Graphs for Presentation and Exploration
Designing and Drawing Graphs
Bar Charts
Exploratory Graphs
Conclusion
Terms Introduced
Suggested Readings
Chapter 12 • Testing Relationships
The Normal Distribution and z Scores
Confidence Intervals
Population Confidence Intervals
Sample Confidence Intervals
Hypothesis Testing
Types of Hypotheses
Steps for Hypothesis Testing
Difference of Means Tests
Testing Hypotheses about Proportions
Reinforcing Interpretation of Hypothesis Testing
Testing a Relationship with Two Samples
Difference of Means with Related Samples
Difference of Means with Independent Samples
Confidence Interval with Two Samples
Conclusion
Terms Introduced
Suggested Readings
Chapter 13 • Analyzing Relationships for Categorical Data
The Basics of Identifying and Measuring Relationships
Level of Measurement
Types of Relationships
Table Summaries of Categorical Variable Associations
Measuring Strength of Relationships in Tables
Direction of a Relationship
Measures of Association: Statistics for Reporting the Strength of Relationships in Tables
A Coefficient for Nominal Data
Coefficients for Ordinal Variables
Chi-Square Test for Independence
Multivariate Analysis of Categorical Data
Analysis of Variance: Analyzing the Difference between Means for More Than Two Means
Explained and Unexplained Variation
Significance Test for Analysis of Variance
Conclusion
Terms Introduced
Suggested Readings
Chapter 14 • Regression
Logic of Regression
The Classical Assumptions of Linear Regression Models
Scatterplots
Minimizing the Sum of the Squared Error
The Linear Regression Model
Regression
Measuring Correlation: Pearson’s r
Measuring the Fit of a Regression Line: R-Squared
Multivariate Regression
Interpreting Regression Tables
Categorical Independent Variables
Maximum Likelihood Models for Dichotomous Dependent Variables
The Logic of Maximum Likelihood
Interpreting a Logistic Regression Table
Predicted Probabilities
Conclusion
Terms Introduced
Suggested Readings
Chapter 15 • The Research Report: An Annotated Example
Annotated Research Report Example
Appendixes
Appendix A: Normal Curve Tail Probabilities
Appendix B: Critical Values from t Distribution
Appendix C: Chi-Squared Distribution Values for Various Right-Tail Probabilities
Appendix D: F Distribution
Glossary
Index
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Tags: Janet Johnson, Political Science, Research Methods