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. INDICE: 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 NotesChapter 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 NotesChapter 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 NotesChapter 4: Making Comparisons Cross-tabulation Analysis Mean Comparison Analysis A CLOSER LOOK: The Format Command A CLOSER LOOK: The Replace Command Exercises NotesChapter 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 NotesChapter 6: Making Inferences about Sample Means Describing a Sample Mean Testing the Difference between Two Sample Means Extending the Mean and Lincom Commands Exercises NotesChapter 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 NotesChapter 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 NotesChapter 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 NotesChapter 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 NotesChapter 11: Doing Your Own Political Analysis Five Doable Ideas Inputting Data Writing It Up Notes
- ISBN: 978-1-4522-4042-8
- Editorial: CQ Press
- Encuadernacion: Rústica
- Páginas: 216
- Fecha Publicación: 28/02/2015
- Nº Volúmenes: 1
- Idioma: