A Stata companion to political analysis
Author(s)
Bibliographic Information
A Stata companion to political analysis
CQ Press, an imprint of SAGE publications, c2015
3rd ed
- : [pbk.]
Available at / 2 libraries
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Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"