The Essentials of Political Analysis

Námskeið
- STJ201F Hagnýt tölfræði
Lýsing:
"Pollock and Edwards explain the nuts-and-bolts of research design and data analysis in a clear and concise style. The Essential of Political Analysis is an intuitive introduction to complex material, replete with examples from the political science literature that add relevance to statistical concepts. This text offers students an excellent balance between the technical and the practical. " —Francis Neely, San Francisco State University Gain the skills you need to conduct political analysis and critically assess statistical research.
In this Sixth Edition of The Essentials of Political Science, bestselling authors Philip H. Pollock III and Barry C. Edwards build students’ analytic abilities and develop their statistical reasoning with new data, fresh exercises, and accessible examples. This brief, accessible guide walks students through the essentials—measuring concepts, formulating and testing hypotheses, describing variables—while using key terms, chapter-opening objectives, over 80 tables and figures, and practical exercises to get them using and applying their new skills.
Annað
- Höfundar: Philip H. Pollock III, Barry C. Edwards
- Útgáfa:6
- Útgáfudagur: 2019-07-18
- Hægt að prenta út 2 bls.
- Hægt að afrita 2 bls.
- Format:ePub
- ISBN 13: 9781506379593
- Print ISBN: 9781506379616
- ISBN 10: 1506379591
Efnisyfirlit
- Tables, Figures, and Boxes
- Preface
- Acknowledgments
- About the Authors
- Introduction
- Facts and Values in Perspective
- The Scientific Approach
- What This Book Is About
- Conclusion
- Key Terms
- Notes
- Chapter 1 • The Definition and Measurement of Concepts
- Learning Objectives
- Conceptual Definitions
- Clarifying a Concept
- A Template for Writing a Conceptual Definition
- Why It’s Important to Identify the Unit of Analysis
- Operational Definitions
- Measurement Error
- Systematic Measurement Error
- Random Measurement Error
- Reliability and Validity
- Evaluating Reliability
- Evaluating Validity
- Working with Datasets, Codebooks, and Software
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 2 • Measuring and Describing Variables
- Learning Objectives
- Essential Features
- Levels of Measurement
- Nominal-level Variables
- Ordinal-level Variables
- Interval-level Variables
- Which Level of Measurement Is Best?
- Describing Variables
- Nominal Variables
- Ordinal Variables
- Interval Variables
- Transforming Variables
- Additive Indexes
- Sometimes Less Is More: Simplifying Variables
- Centering and Standardizing Interval-level Variables
- Advanced Data Transformation Methods
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 3 • Proposing Explanations, Framing Hypotheses, and Making Comparisons
- Learning Objectives
- “All Models Are Wrong, But Some Are Useful”
- Proposing Explanations
- Causal Mechanisms
- Framing Hypotheses
- Common Mistakes in Hypothesis Writing
- Making Comparisons
- Cross-tabulations
- Mean Comparisons
- Graphing Relationships and Describing Patterns
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 4 • Research Design, Research Ethics, and Evidence of Causation
- Learning Objectives
- Establishing Causation
- Experimental Designs
- Random Assignment
- Pretreatment Measurements
- Laboratory Experiments
- Field Experiments
- Selecting Cases for Analysis
- Random Sampling
- Weighting Sample Observations
- Nonrandom Sampling and Qualitative Research Designs
- Conducting Research Ethically
- Experiments Involving Human Subjects
- Ethical Responsibilities to the Academic Community
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 5 • Making Controlled Comparisons
- Learning Objectives
- The Logic of Controlled Comparisons
- Essential Terms and Concepts
- Effect of Partisanship on Gun Control Vote, Controlling for Gender: An Illustrative Example
- A Spurious Relationship
- Additive Relationships
- Interactive Relationships
- Many Faces of Interaction
- Controlled Mean Comparisons
- Example of an Additive Relationship
- Example of an Interactive Relationship
- Identifying Patterns
- Advanced Methods of Making Controlled Comparisons
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 6 • Foundations of Statistical Inference
- Learning Objectives
- Population Parameters and Sample Statistics
- The Central Limit Theorem and the Normal Distribution
- Quantifying Standard Errors
- Standard Error of a Sample Mean
- Standard Error of a Sample Proportion
- Confidence Intervals
- Sample Size and the Margin of Error of a Poll
- Inferences with Small Batches: The Student’s t-Distribution
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 7 • Tests of Significance and Measures of Association
- Learning Objectives
- Statistical Significance and Null Hypothesis Testing
- One-Sample Significance Tests
- Two-Sample Significance Tests
- Difference of Means Test
- Difference of Proportions Test
- The Chi-square Test
- Measures of Association
- Lambda
- Somers’ dyx
- Cramer’s V
- Criticisms of Null Hypothesis Testing
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 8 • Correlation and Linear Regression
- Learning Objectives
- Correlation
- Bivariate Regression
- Educational Attainment and Voter Turnout in States Example
- R-square
- Adjusted R-square
- Multiple Regression
- Regression with Multiple Dummy Variables
- Interaction Effects in Multiple Regression
- Some Practical Issues: Multicollinearity, Parsimony, and Missing Data
- Analyzing Residuals to Evaluate Linear Regression Models
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 9 • Logistic Regression
- Learning Objectives
- The Logistic Regression Approach
- Logistic Regression Approach to Vote Choice in the 2016 Presidential Election
- Finding the Best Fit: Maximum Likelihood Estimation
- Logistic Regression with Multiple Independent Variables
- Graphing Predicted Probabilities with Multiple Independent Variables
- Marginal Effects at the Means
- Marginal Effects at Representative Values
- Summary
- Key Terms
- Exercises
- Notes
- Chapter 10 • Conducting Your Own Political Analysis
- Picking a Good Topic
- Getting Focused and Staying Motivated
- Reviewing Prior Literature
- Collecting Data
- Political Science Data Archives
- Making Observations
- Automated Data Collection
- Survey Research
- Interviews
- Writing It Up
- General Suggestions about Tone and Citations
- Suggestions for Clear Organization
- Maintain a Scientific Mindset
- Key Terms
- Exercises
- Notes
- Index
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- Gerð : 208
- Höfundur : 8043
- Útgáfuár : 2019
- Leyfi : 380