The dependent variable was a measure of happiness ranging from 0 (as unhappy as I can possibly imagine being) to 10 (as happy as I can possibly imagine being). Participants were randomized into three groups: (1) a control group (a treatment as usual, a no treatment or some kind of placebo group) (2) 15 minutes of puppy therapy (a low-dose group) and (3) 30 minutes of puppy contact (a high-dose group). The example is based around an imagined study that, in light of these mixed findings, tested the efficacy of puppies in the therapeutic process.
#Weirdest spss code free
You can access free lectures and screencasts on my YouTube channel.The main tutorial follows the example described in detail in Field (2017), so there's a thorough account in there.
The aim of this tutorial is to augment the theory that you already know by guiding you through fitting linear models using IBM SPSS Statistics and asking you questions to test your knowledge along the way.This tutorial does not teach the background theory: it is assumed you have either attended my lecture or read the relevant chapter in my book (or someone else's).planned comparisons) and the linear model as applied to independent experimental designs (i.e., experiments in which different entities participate in different experimental conditions. This tutorial develops the material from the previous tutorial to look at using contrast coding for categorical predictors in the linear model using IBM SPSS Statistics.Students enrolled on my Discovering Statistics module at the University of Sussex, or anyone reading my textbook Discovering Statistics Using IBM SPSS Statistics (Field 2017).These tutorials contain abridged sections from the book (so there are some copyright considerations).
#Weirdest spss code series
This tutorial is one of a series that accompanies Discovering Statistics Using IBM SPSS Statistics (Field 2017) by me, Andy Field.
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