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Introduction to SPSS

May 10 @ 9:00 am - 5:00 pm

Modern Languages Building (MLB), Room 2001A

Note: Topic order is subject to change.


This portion introduces SPSS, the menu and the help systems, and the three main types of files used.  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.

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.

Basic Statistical Analysis

The portion includes a brief demonstration of a statistical analysis in SPSS. While not delving deep into statistical theory, we will cover the basics of an analysis, as well as discuss the graphing facilities in SPSS.


To register for CSCAR Workshops, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode:


9:00 a.m. – 5:00 p.m., Monday through Friday
Closed 12pm – 1:00 p.m. every Tuesday for staff meeting.
Voice: (734) 764-7828 (4-STAT from a campus phone)
Fax: (734) 647-2440


Center for Statistical Consultation and Research (CSCAR)
The University of Michigan
3550 Rackham
915 E. Washington St.
Ann Arbor, MI 48109-1070



May 10
9:00 am - 5:00 pm
Event Category:
Event Tags:


A Windows instruction class or equivalent knowledge, and basic experience in data analysis.
Class size
24 Participants, 1 per computer.
U-M Affiliated Fee
Not U-M Affiliated Fee
Josh Errrickson is a statistical consultant at CSCAR.