SPSS Short Course - October 6th, 7th, 8th, 2009


1.  How to import a file from Excel to SPSS -
        be sure to Save As your Excel 2007 file in the Excel 97-2003 Workbook, because SPSS is not capable
        of importing Excel 2007 format files.   

        Practice Excel workbook with three different worksheets.  We will use Independent Sample T-Test on the data.
   
2.  How to recode variables - it is usually best to recode variables into a different variable, but the tutorial
        linked to below here shows you both ways.
  
3.  How to compute new variables.  
  
4.  How to do variable and value labels.
  
5.  How to run basic stats - chi-square, t-test, ANOVA, correlation, regression.
       We might get to ANOVA today in the SPSS class.
       We are not likely to get to correlation and regression until a follow-up, part two class.
 
6.  You are welcome to come to another class this week if you want 
further 
practice and experience.  It generally will be a repeat
       of today's class, except for differences in questions that arise and improvements that are made based on how
       today's class goes.
       
7.   The URL to get the SCL (Statistical Consulting Lab) home page is:  http://www.cs.uni.edu/~jacobson/SCL

8.   Send email to: jacobson@cs.uni.edu if you want to make an appointment for help on your research in the future.

Excellent SPSS Short Course tutorial material is available at Lancaster University. If you wish to review the major topics we walked through very quickly today, you might want to read and perhaps practice and do the SPSS exercises in the following 3 sessions.


The best book ever written for both learning SPSS and for understanding statistics and the practice of research is by Marija J. Norusis. The title of the book is: SPSS 16.0 Guide to Data Analysis, but older editions of the book are fine for learning SPSS too. The changes from SPSS since version 12 onward are minor enough you could easily get by with an older edition of the textbook. Remember, much of the book is about the data analysis too.