Obtaining Case-level Information with Case Summaries Using the Chart Editor to Modify Graphics Interpreting Measures of Central Tendency and Variation How SPSS Stores Information about Variables
SPSS Full and Grad Pack Versions: What Is the Difference?
Solution Manual for An IBM SPSS Companion to Political Analysis, 6th Edition, Philip H. Combined, The Essentials of Political Analysis and An SPSS Companion to Political Analysis form the backbone of our undergraduate research methods teaching." - William Field Read more.Solution Manual for An IBM SPSS Companion to Political Analysis 6th Edition by Pollock III Best of all, the companion text offers quality datasets and walk-throughs of SPSS that bring every concept here to life. It is brief yet covers the methodological basics of quantitative research design from concept development to difference of means, chi-square, and linear regression.
The chapters on inference in particular are extremely well executed." - Renato Corbetta "Overall, this is the best political science research methods book I've seen. It effectively conveys to students the idea that the methods we use in Political Science research are crucial in providing answers to real world political and social questions. "With its carefully organized material, hands-on running examples, and accessible writing style, The Essentials of Political Analysis introduces readers to the foundational principles of research in Political Science in a natural and fluid fashion. Introduction What This Book Is About Facts and Values in Perspective The Scientific Approach Conclusion Chapter 1: The Definition and Measurement of Concepts Conceptual Definitions Operational Definitions Summary Key Terms Exercises Chapter 2: Measuring and Describing Variables Measuring Variables Describing Variables Summary Key Terms Exercises Chapter 3: Proposing Explanations, Framing Hypotheses, And Making Comparisons Proposing Explanations Framing Hypotheses Making Comparisons Graphing Relationships and Describing Patterns Summary Key Terms Exercises Chapter 4: Research Design and the Logic of Control Experimental Designs Three Scenarios Summary Key Terms Exercises Chapter 5: Making Controlled Comparisons Cross-tabulation Analysis Graphing Controlled Comparisons An Example of Interaction Mean Comparison Analysis Summary Key Terms Exercises Chapter 6: Foundations of Statistical Inference Population Parameters and Sample Statistics Random Sampling The Standard Error of a Sample Mean Inference Using the Normal Distribution Inference Using the Student's t-Distribution What About Sample Proportions? Summary Key Terms Exercises Chapter 7: Tests of Significance and Measures of Association Statistical Significance Measures of Association Summary Key Terms Exercises Chapter 8: Correlation and Linear Regression Correlation Bivariate Regression R-square Dummy Variable Regression Multiple Regression Summary Key Terms Exercises Chapter 9: Logistic Regression The Logistic Regression Approach Finding the Best Fit: Maximum Likelihood Estimation Logistic Regression with Multiple Independent Variables Working with Probabilities: MEMs and MERs Summary Key Terms Exercises Chapter 10: Thinking Empirically, Thinking Probabilistically Thinking Empirically Thinking Probabilistically Working with Probabilities: MEMs and MERsĬhapter 10: Thinking Empirically, Thinking Probabilistically
Logistic Regression with Multiple Independent Variables
Tests of Significance and Measures of AssociationĬhapter 8: Correlation and Linear Regressionįinding the Best Fit: Maximum Likelihood Estimation
9781506305820 1506305822 9781506305851 1506305857Ĭhapter 1: The Definition and Measurement of ConceptsĬhapter 2: Measuring and Describing VariablesĬhapter 3: Proposing Explanations, Framing Hypotheses,