Basic Data Analysis Using SPSS

This workshop will provide an overview of statistical test choices, variable creation and transformation, and output interpretation using SPSS. Hands-on lab exercises will demonstrate how to execute basic data transformations and analyses using SPSS. Descriptive statistics, chi-square, means comparisons (t-test) and correlations will be covered along with creating simple graphs. We will spend about one hour covering basic information about SPSS and getting ready for data entry in a lecture format and two hours in the computer lab with hands-on exercises in using SPSS.
  • Preparing your data (lecture)
    • Creating a codebook – variables, names, labels, missing values
  • Entering data in SPSS (lecture and lab exercises)
    • Using SPSS and importing from EXCEL
  • Modifying and organizing your data (lecture and lab exercises)
    • Compute, recode, and count transformations
  • Descriptive statistics (lab exercises)
    • Frequencies, descriptives, and simple graphs
  • Statistics for single dependent variables (lab exercises)
    • Chi square
    • Correlation
    • T-Test

Instructor: Dr. Sandra Herman, Sandra Herman, Ph.D., is the former Associate Director of the Center for Statistical Training and Consulting and an independent evaluation consultant. She has extensive experience in statistical analysis and with SPSS.

Date: Friday, September 02, 2011

Time: 1:00 PM - 4:00 PM

Location: 106 Farrall Ag. Eng. Hall

Audience: Faculty and graduate students who want to use SPSS for analyzing their data.

Registration closed. Maximum capacity has been reached.