IBM SPSS Statistics

Workshop 2:

Correlations, ANOVA/MANOVA, Multiple OLS regression, Repeated measures, ANCOVA/MANCOVA

Faculty of Graduate Studies, Athabasca University and School of Graduate Studies, Memorial University

Welcome to the Jan 18th, 2021 SPSS workshop, by Shawn N Fraser, PhD.

NOTE: Please come with an installed version of SPSS to help make this an interactive workshop rather than a lecture.

See here for free trial:

Or for a discount:

Workshop Activities

This particular workshop is designed for the novice SPSS user with some statistical background such as an introductory undergraduate stats course. However, even those with a great deal of stats training can benefit if you’ve never used a statistical software package.

About me.

My professional information can be found here: http://cnhs.athabascau.ca/faculty/sfraser/

Contact me in advance if you have questions or topic ideas for discussion at the workshop.

Topics for the SPSS workshop include:

1. Correlation tables. Pearson and spearman.

2. Comparing Means. ANOVA, T-tests.

3. Multivariate models. OLS regression.

4. Repeated measures. RANOVA/RMANOVA.

5. Cross-tabs. Comparing proportions.

Attachments (please download these):

A number of attachments are included for use during the workshop.

Data set 1: Citations and salary data

Data set 2: Repeated measures data

Data set 3: Long file for cross tabs

Data set 4: Short file cross-tabs

Recording from today's workshop:

Handouts and readings.

Some handouts and readings are linked and/or recommended below.

List of recommended readings:

Morgan, G., Leech, N., Gloeckner, G., & Barrett, K. (2007). SPSS for introductory statistics: Use and interpretation (3rd ed). Mahwah, NJ: Lawrence Erlbaum.

Kinnear, P.R., & Gray (2011). IBM SPSS Statistics 19 Made Simple. New York: Psychology Press.

Online resources:

Various online tutorials

http://www.spsstools.net/spss.htm

UCLA Academic Technology Services. SPSS Topics, Data Management

https://stats.idre.ucla.edu/spss/

Arkkelin, D. Using SPSS to Understand Research and Data Analysis.

http://wwwstage.valpo.edu/other/dabook/home.htm

StatPages.net. Probability Distribution Functions.

http://statpages.org/pdfs.html

StatNotes

http://faculty.chass.ncsu.edu/garson/PA765/statnote.htm