A Stata companion to political analysis

著者

書誌事項

A Stata companion to political analysis

Philip H. Pollock III

CQ Press, an imprint of SAGE publications, c2015

3rd ed

  • : [pbk.]

大学図書館所蔵 件 / 全2件

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注記

Includes bibliographical references

内容説明・目次

内容説明

This attractive and value-priced workbook, an ideal complement to Pollock's Essentials of Political Analysis, is a must-have for any political science student working with Stata.

目次

Chapter 1: Introduction to Stata Information about a Dataset Information about Variables Do-Files Log Files Printing Results and Copying Output A CLOSER LOOK: Weighting the gss2012 and nes2012 Datasets Getting Help Exercises Notes Chapter 2: Descriptive Statistics Interpreting Measures of Central Tendency and Variation Describing Nominal Variables Describing Ordinal Variables Describing Interval Variables Obtaining Bar Charts and Histograms Obtaining Case-Level Information with sort and list Exercises Notes Chapter 3: Transforming Variables Transforming Categorical Variables Transforming Interval Variables A CLOSER LOOK: The xtile command The label define and label values Commands Creating an Additive Index Creating Indicator Variables Exercises Notes Chapter 4: Making Comparisons Cross-Tabulation Analysis Mean Comparison Analysis A CLOSER LOOK: The format Command A CLOSER LOOK: The replace Command Exercises Notes Chapter 5: Making Controlled Comparisons Cross-Tabulation Analysis with a Control Variable A CLOSER LOOK: The If Qualifier Mean Comparison Analysis with a Control Variable Exercises Notes Chapter 6: Making Inferences about Sample Means Describing a Sample Mean Testing the Difference between Two Sample Means Extending the mean and lincom Commands Exercises Notes Chapter 7: Chi-square and Measures of Association Analyzing Ordinal-Level Relationships Analyzing an Ordinal-Level Relationship with a Control Variable Analyzing Nominal-Level Relationships Analyzing Unweighted Data with the tabulate Command Exercises Notes Chapter 8: Correlation and Linear Regression The correlate Command and the regress Command A CLOSER LOOK: R-squared and Adjusted R-squared: What's the Difference? Creating a Scatterplot with a Linear Prediction Line Multiple Regression A CLOSER LOOK: Bubble Plots Correlation and Regression with Weighted Data Exercises Notes Chapter 9: Dummy Variables and Interaction Effects Regression with Dummy Variables A CLOSER LOOK: The test Command Interaction Effects in Multiple Regression Graphing Linear Prediction Lines for Interaction Relationships Exercises Notes Chapter 10: Logistic Regression The logit Command and the logistic Command Logistic Regression with Multiple Independent Variables A CLOSER LOOK: The estimates Command and the lrtest Command Working with Predicted Probabilities MERS-MEMS Hybrids Exercises Notes Chapter 11: Doing Your Own Political Analysis Five Doable Ideas Inputting Data Writing It Up Notes

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