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kruskal-wallis

Member Training: Analyzing Likert Scale Data

by TAF Support  1 Comment

Is it really ok to treat Likert items as continuous? And can you just decide to combine Likert items to make a scale? Likert-type data is extremely common—and so are questions like these about how to analyze it appropriately. [Read more…] about Member Training: Analyzing Likert Scale Data

Tagged With: Correlation, data transformations, Kendall's tau-b, kruskal-wallis, Likert Scale, mann-whitney u test, Ordinal Logistic Regression, predictive models, Somer's D, Spearman correlation

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Non-parametric ANOVA in SPSS

by Karen Grace-Martin  3 Comments

I sometimes get asked questions that many people need the answer to.  Here’s one about non-parametric ANOVA in SPSS.

Question:

Is there a non-parametric 3 way ANOVA out there and does SPSS have a way of doing a non-parametric anova sort of thing with one main independent variable and 2 highly influential cofactors?

Quick Answer:

No.

Detailed Answer:

There is a non-parametric one-way ANOVA: Kruskal-Wallis, and it’s available in SPSS under non-parametric tests.  There is even a non-paramteric two-way ANOVA, but it doesn’t include interactions (and for the life of me, I can’t remember its name, but I remember learning it in grad school).

But there is no non-parametric factorial ANOVA, and it’s because of the nature of interactions and most non-parametrics.

What it basically comes down to is that most non-parametric tests are rank-based. In other words, [Read more…] about Non-parametric ANOVA in SPSS

Tagged With: kruskal-wallis, non-parametric anova, SPSS

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