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SPSS explained Inc., NetLibrary, Perry R Hinton
Publisher: Routledge

The nudge: #2 and #3 are both designed to focus people on point and interval estimation, rather than NHST. Sort of in the spirit of Nudge — don't necessarily change the list of what is ultimately possible to do, but make And let's not make variance-explained metrics (like R^2 or eta^2) the defaults. If not, you may have explained all level-2 variation and the model for level 2 is overparametrized (i.e., "over-fitted"). Changed some of the defaults and options. This guide presents a full walk-trough tutorial from how to load your survey data into SPSS, to preparing the data, validity and reliability testing and finally. A really seriously great website on the stats language R, designed to make the transition for SPSS and SAS users as easy as possible – very clear, very nicely explained. PS: No, I do not think SPSS treats it as discrete variables (that would be visible in the output as well). Looks like it could be promisingly useful. Business Research Methods and Statistics Using SPSS provides a simple, easy to follow, and non-mathematical approach to understanding and using quantitative methods and statistics. Along these lines, I've been wondering what would happen if the makers of data analysis software like SPSS, SAS, etc.