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SPSS is a statistical package popular in the social sciences, business, health and medicine, and education research. The programme is capable of descriptive statistics, bivariate statistics, prediction for both numerical outcomes and identifying groups.
SPSS can be installed on staff and student machines by visiting AppsAnywhere and on personal devices through the Software Download Service.
Exporting Novi Survey Results to SPSS
This quick video shows you how to export survey responses from Novi into SPSS.
Ruben Geert van den Berg has collected information from the most common questionds about SPSS and developed them into these helpful online tutorials.
Andy Field: SPSS Tutorials
Author and academic Andy Field has provided recording of his webcast tutorials on SPSS on YouTube.
SPSS Tutorial from LSE
This online statistical software tutorial from the London School covers basic data manipulation, descriptive analyses, and inferential analysis using SPSS.
StatsTools: Learn Statistics
This page contains materials from courses taught by Erin Buchanan (basic/advanced/graduate statistics and structural equation modeling) and include multiple formats (SPSS, Excel, R). Excellent for for use by students and the interested graduate student or researcher.
Raynald Levesque has created this collection of over 675 sample syntax, macros and scripts to be a source of better solutions of data management and data analysis problems in SPSS.
Resources to help you learn and use SPSS
More resources from the University of California, Los Angeles on using SPSS effectively and developing your knowledge of analytical methods.
How to do a meta-analysis
This article describes the process of conducting meta-analysis: selecting articles, developing inclusion criteria, calculating effect sizes, conducting the actual analysis (including information on how to do the analysis on popular computer packages such as IBM SPSS and R) and estimating the effects of publication bias. Guidance is also given on how to write up a meta-analysis.
David Wilson has created a series of macros to use for meta analyses in various statistical packages, based on his book Practical Meta-analysis.