Introduction to Research Methods in Political Science: The POWERMUTT* Project (for use with SPSS) *Politically-Oriented Web-Enhanced Research Methods for Undergraduates — Topics & Tools Resources for introductory research methods courses in political science and related disciplines Getting Started Topics Tools Codebooks Downloads Other Resources Home Site Map Introduction Note to Instructors Course Syllabus Using POWERMUTT (MS Word) Author's Home Page Political Science As a Social Science Research Design Levels of Measurement Displaying Categorical Data Varieties of Data More About Measurement Contingency Table Analysis Control Variables Discriptive Statistics Standard Scores and the Normal Distribution Comparing Means Regression and Correlation Logitudinal Analysis of Survey Data Getting Started Data: Weight Cases Data: Select Cases Data: Sort Cases Transform: Recode Transform: Compute Analyze: Frequencies Analyze: Descriptives Analyze: Explore Analyze: Crosstabs Analyze: Reliability Analysis Analyze: T-tests Analyze: Compare Means Analyze: Correlate Analyze: Regression Graphs: Chart Editor Graphs: Pie/Bar Chart Graphs: Histogram Graphs: Boxplot Graphs: Line Chart Graphs: scatterplot American National Election Study 2004 Subset American National Election Study 2008 Subset American National Election Study 2000-2004 Panel Study Subset General Social Survey Cumulative (1972-2010) Subset U.S. Senate U.S. States Countries Data and Topic Downloads SSRIC Links to Other Instructional Sites

SITE MAP

BOXPLOTS

From the menu bar, click on “Graphs,” "Legacy Dialogs," and "Boxplot." 

To analyze one variable, with a separate boxplot for each value of a categorical variable:

• Click on "Simple" and "Summaries for groups of cases."
• In the left window, select the variable you wish to analyze, and drag and drop it into the first window on the right.
• In the left window, select the categorical variable and drag and drop it into the second window on the right.
• If you wish to label outliers and extreme cases: in left window, select the variable whose values you wish to use as labels and drag and drop it into the third window on the right. 

To analyze one variable, broken down by two different categorical variables:

• Click on "Clustered" and "Summaries for groups of cases."
• In the left window, select the variable you wish to analyze, and drag and drop it into the first window on the right.
• In the left window, select the first categorical variable and drag and drop it into the second window on the right.
• In the left window, select the second categorical variable and drag and drop it into the third window on the right.
• If you wish to label outliers and extreme cases: in left window, select the variable whose values you wish to use as labels and drag and drop it into the third window on the right. 

To compare two or more variables::

• Click on "Simple" and "Summaries of separate variables."
• In the left window, select the variables you wish to analyze, and drag and drop them into the first window on the right.
• If you wish to label outliers and extreme cases: in left window, select the variable whose values you wish to use as labels and drag and drop it into the second window on the right. 

To compare two or more variables, with a separate boxplot for each value of a categorical variable:

• Click on "Clustered" and "Summaries of separate variables."
• In the left window, select the variables you wish to analyze, and drag and drop them into the first window on the right.
• In the left window, select the categorical variable and drag and drop it into the second window on the right.
• If you wish to label outliers and extreme cases: in left window, select the variable whose values you wish to use as labels and drag and drop it into the second window on the right. 

Click on "OK."

Last updated April 28, 2013 .
© 2003---2013  John L. Korey.  Licensed under a   Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License.