Reddit Reddit reviews Using Multivariate Statistics (6th Edition)

We found 5 Reddit comments about Using Multivariate Statistics (6th Edition). Here are the top ones, ranked by their Reddit score.

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5 Reddit comments about Using Multivariate Statistics (6th Edition):

u/dbzgtfan4ever · 3 pointsr/statistics

If you are running parametric tests (ANOVA and regression families), then you have a set of underlying assumptions that you need to test. You assume normality, homoscedasticity (equal variance/error variance between groups or at each level of your DV), and linearity between variables. You have to test for them. This also means testing for outliers and whether your data are missing completely at random (if you have missing data).

If your data do not meet these assumptions, then you have to decide how to proceed: should you run the tests anyway noting potential changes to alpha; transform the data (possibly compromise interpretation); run non-parametric tests; or model the non-normality or non-linearity?

I learned all of this in my Multivariate Statistics course, and this course used Tabachnick and Fidel's book called Using Multivariate Statistics.

Good luck! Severe violations to any of these assumptions could severely compromise any conclusions you draw from your research. However, some may just hold the view that that violations of these assumptions in your sample may not lead to erroneous conclusions about your population, citing evidence that ANOVA is generally robust (produces similar results) to violations of normality.

u/wil_dogg · 2 pointsr/statistics

Jaccard and Becker is a neat book and ideal for the level you are looking for:

http://www.amazon.com/Statistics-Behavioral-Sciences-James-Jaccard/dp/0534634036

But Jaccard and Becker may not have SAS programming examples. You can upgrade to Tabachnik and Fidel which is a more advanced text which I think does include SAS coding examples (can't find an online edition to check on that but my older editions had SPSS and SAS and way back in the day BMDP)

http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571

u/okcukv · 2 pointsr/statistics

Tabachnick and Fidell is pretty good. Get yourself a used copy - $165 is outrageous.

u/apple-jacks · 2 pointsr/statistics

The reference text that I use the most is Tabachnick and Fidell's Using Multivariate Statistics. For you, if you are interested in primarily using stata, you might still derive value from the content, but the example SAS or SPSS output would not be as helpful. (Disclaimer: I use both SPSS and Stata regularly, and have one semester of SAS experience under my belt)

Acock's A Gentle Introduction to Stata might be a good similar stata-based resource (I am resisting the urge to make jokes about the author's name). I've only read the first few chapters but I found it well-written and easy to understand. Stata also has some great specialized topics books, such as Long & Freese's categorical dependent variables. And don't forget about stata's great help section. I know you already know about the UCLA website but when I encounter stata questions, I'm usually able to resolve questions by looking in the help section and checking the UCLA webiste.

u/halfascientist · 1 pointr/explainlikeimfive

I've taken a Factor Analysis/SEM class, and I don't think there was any part of it I could explain to a five-year-old.

Consult the goddesses, friend. They will not lead you astray.