Since I had done a few youtube videos on using SAS Studio, I thought I would add them to my blog. This one uses the characterize data task to take a quick look at the data, but I suppose you could have guessed that from the title.


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It’s been almost two weeks of reviewing textbooks, revising my syllabus and I have to go back to it in a couple of hours to edit my last few powerpoints before class starts.

Yes, when I was a brand-new baby professor I was sometimes rushing to write a lecture before class, but now that I have given lectures on repeated measures ANOVA approximately 132 times, I just update the examples to be relevant to the current cohort.

So, I was debating about using SAS or SPSS and I got a lot of recommendations, particularly on linkedin.  A few people suggested using JMP which I had not considered and hadn’t used in a few years. That sounded like a good idea except that I needed to have the syllabus done in a couple of days and start teaching the class the week after that.

In the end, I decided to go with SAS Studio for this class and investigate JMP for the future.

Interestingly, no one encouraged me to use SPSS, which I found interesting because it’s not a terrible package, just overpriced.

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The video below might give you an idea of why I decided to go with SAS Studio. Maybe I was just lucky, but it was so easy to upload the data I wanted to use for the first weeks’ examples, the India Human Development Survey.  Take a look: