CSCAR

The Center For Statistical Consultation and Research
3550 Rackham Building University of Michigan Ann Arbor, MI 48109-1070 cscar@umich.edu
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Introduction to SPSS

February 1 - 12, 2010
Joe Kazemi

Course Content

Fundamentals
This portion introduces SPSS for Windows, the menu and the help systems, the three main types of files used, and printing from within SPSS. It then addresses defining variables, attaching labels, defining missing values, and various ways to enter data into SPSS. Finally, it covers a brief introduction to obtaining frequency distributions, descriptive statistics, and cross tabulations of variables.
Within-Case Transformations
This portion introduces data management capabilities, including recoding variables (manual and automatic), computing new variables using formulas, and counting occurrences of values within subjects. Attention then turns to temporary transformations, conditional processing of transformations, and repetitive transformations. SPSS syntax is also introduced.
Data Management with Multiple Files
This portion begins with a discussion of subsetting data files by drawing samples, selecting groups and excluding groups from analysis. Then, the two main methods of merging SPSS data files are covered: adding additional variables and adding additional cases. Next, creating aggregated data sets and applying aggregated data to individuals is covered. Lastly, importing and exporting data between SPSS and other statistical programs (Excel, dBase, SAS) is demonstrated.
Basic Statistics and Graphics
This portion covers basic exploratory procedures, including obtaining percentiles, frequencies, descriptive statistics, and cross tabulations. Basic comparative procedures including two-sample t-tests, paired t-tests, and one-way analysis of variance are also covered. Then, simple bivariate correlation analysis is introduced. Participants are given a basic introduction to commonly used graphical procedures for displaying data, including scatter plots, bar graphs, histograms, and boxplots.

There will also be time for participants to practice using SPSS with their own data sets.

Instructor

Joe Kazemi is a Statistical Consultant at CSCAR.

Audience

Never before SPSS users who will be using SPSS for Windows. Those using SPSS for Unix or Macintosh should email the instructor at kazemi@umich.edu before enrolling.

Prerequisite

A Windows instruction class or equivalent knowledge, and basic experience in data analysis.

Dates & Times

6 sessions, Mondays, Wednesdays, Fridays
• February 1, 2010, 9:00 AM - 12:00 noon
• February 3, 2010, 9:00 AM - 12:00 noon
• February 5, 2010, 9:00 AM - 12:00 noon
• February 8, 2010, 9:00 AM - 12:00 noon
• February 10, 2010, 9:00 AM - 12:00 noon
• February 12, 2010, 9:00 AM - 12:00 noon

Location

Rackham Bldg, 2nd floor, North Alcove in the West Study Hall

Fees

Registrations on or before January 18, 2010
• $275 for University of Michigan affiliated faculty, staff and students
• $650 for others

Registrations after January 18, 2010
• $330 for University of Michigan affiliated faculty, staff and students
• $780 for others

Please make checks payable to CSCAR-University of Michigan, or give the University of Michigan Project/Grant or shortcode to be billed. Send check to CSCAR, 3550 Rackham Bldg., University of Michigan, 915 E. Washington St., Ann Arbor, MI, 48109-1070.

Registration

Call CSCAR at 734-764-7828. Enrollment is limited.