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This workshop is the third of a three-part series on SPSS. SPSS is a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

• Recoding variables
• Coding methods
• Analysis: summary statistics, Chi-square, ANOVA, regression

Prerequisites: Attendance at SPSS 1 and 2 preferred, or completion of Parts 1-6 of the Lynda.com "SPSS Statistics Essential Training" tutorial. Understanding of statistical concepts and procedures, including correlation, null hypothesis testing, t-tests, ANOVA and/or regression. We recommend this course to be taken in conjunction with statistics courses at GSU, or soon after taking a statistics course.

NOTE:

• This is the third workshop in a three-part series (SPSS 1 is the first, SPSS 2 is the second).
• This workshop completes all analysis using code. No previous knowledge of coding is required.
• This workshop is for the Windows version of SPSS.

Presenters: George Usmanov, Graduate Research Assistant, and Mandy Swygart-Hobaugh, Ph.D., Data Services Librarian, both members of the Library's Research Data Services Team.

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