Apr

26

I have to choose between either SAS or SPSS for a new course in multivariate statistics. You can take it up with the university if you like, but  these are my only two options, in part because the course is starting soon.

I need to decide in a few days which way to go. Here are my very idiosyncratic reasons for one versus the other:

SAS

I’ve toyed with the idea of showing both options but that uses up class time better spent on teaching, for example, how do you interpret a factor loading or AIC.

My big objection to SAS is I can’t find a recent textbook that is good for a multivariate analysis course that is in a social sciences department. The best one is by Cody and that is from 2005. I also use a couple of chapters from the Hosmer & Lemeshow book on Applied Logistic Regression , but I need something that covers factor analysis, repeated measures ANOVA and hopefully, MANOVA and discriminant function analysis, too.

I think most of these students have careers in non-profits and they are not going to be creating new APIs to analyze tweets or anything using enormous databases, so the ability to analyze terabytes is moot. This will probably be their second course in statistics and maybe their first introduction to statistical software.

Suggestions are more than welcome.

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P. S. You can skip the hateful comments on why SAS and SPSS both suck and I should be using R, Python or whatever your favorite thing is. Universities don’t usually give carte blanche. These are my two choices.

P.P.S. You can also skip the snarky comments on how doctoral students should have a lot more statistics courses, all take at least a year of Calculus, etc. Even if I might agree with you, they don’t and I need tools that work for the students in my classes, not some hypothetical ideal student.


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7 Comments so far

  1. Chris Hemedinger on April 26, 2017 12:45 pm

    Checking on this for you. Have you looked at A Step-by-Step Approach to Using SAS® for Univariate and Multivariate Statistics, Second Edition. It’s not more recent, but does seem to have a social sciences bend. And Ron Cody does have a more recent title on Statistics: Biostatistics by Example Using SAS® Studio. Don’t get hung up on the “Biostatistics” part — read the TOC and see if it might work for your purposes.

  2. AnnMaria on April 26, 2017 1:20 pm

    Do you have a keylogger on my computer? I just ordered both of those books within the last 5 minutes!

  3. Chris Hemedinger on April 26, 2017 2:53 pm

    Ha! I don’t really need a keylogger for you — it’s not usually that hard to tell what you’re thinking 🙂

    This one from Gerhard is brand new: Applying Data Science: Business Case Studies Using SAS®. He actually put a ton of the resources on sasCommunity.org.

    Here’s another book that’s in the works. SAS® for Mixed Models: An Introduction. If you’re interested in a preview copy, reach out.

  4. Barry on May 4, 2017 3:53 pm

    There was an incredible resource for multivariate statistics, from the Public Policy Program and NCSU. It was called ‘Stat Notes’.
    It’s available from: http://www.statisticalassociates.com/

    I would strongly recommend it.

  5. Barry on May 4, 2017 3:53 pm
  6. AnnMaria on May 8, 2017 8:40 pm

    Thank you very much, Barry. I will definitely check that out.

  7. Statswork on July 29, 2017 1:30 am

    SPSS:

    1. SPSS software easily downloadable.

    2. There are number of books available on Multivariate Analysis
    a. Handbook of univariate and multivariate data analysis with IBM SPSS – Robrt Ho Yau Kwong.
    b. Multivariate methods & Forecasting with IBM SPSS Statistics – Abdulkader Aljandali

    SAS:

    1. SAS is a Software which is available for only using Basic statistics, for multivariate analysis it is a paid.

    2. Books not available for multivariate analysis.
    See: http://www.statswork.com/

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