The POWERMUTT Project

December 18, 2012

Introduction to Research Methods in Political Science:
The POWERMUTT* Project
(SPSS Version)
*Politically-Oriented Web-Enhanced Research Methods for Undergraduates — Topics and Tools
Resources for introductory research methods courses in political science and related disciplines

Home Table of Contents Introduction Note to Instructors Course Syllabi Using POWERMUTT Author's Home Page

Political Science As a Social Science Research Design Levels of Measurement Displaying Categorical Data Data Collection 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

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 (1972-2006) Subset General Social Survey Cumulative (1972-2010) Subset - revised U.S. House of Representatives U.S. Senate U.S. States U.S. States - revised U.S. States-revised Countries Countries - revised California State Legislature

Data Downloads Topic Downloads (Rich Text Format)

General Data Statistics/Methods Texts Applets, etc. SPSS Resources ICPSR Resources SDA Resources Glossaries

TABLE
OF
CONTENTS

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."

Except where indicated, © 2003-2012 John L. Korey

Last Updated: December 18, 2012