 SPSS TUTORIALS BASICS DATA ANALYSIS CORRELATION T-TEST ANOVA

# Overview SPSS Nonparametric Tests SPSS nonparametric tests are mostly used when assumptions aren't met for other tests such as ANOVA or t tests.Strictly, most “nonparametric tests” in SPSS are distribution free tests. Oddly, these two concepts are entirely different but often used interchangeably. Second, nonparametric tests are suitable for ordinal variables too. In rare cases they may have more statistical power than standard tests.
Not sure which (nonparametric) test to use? You'll quickly find the answer in Simple Overview Statistical Comparison Tests.

## Nonparametric Tests - One Sample

### SPSS Shapiro-Wilk Test – Quick Tutorial with Example

The Shapiro-Wilk test examines if a variable is normally distributed in a population. This assumption is required by some statistical tests such as t-tests and ANOVA.

The SW-test is an alternative for the Kolmogorov-Smirnov test. This tutorial shows how to run and interpret it in SPSS.

### Binomial Test – Simple Tutorial

A binomial test examines if a population percentage is equal to x.

Example: is 45% of all Amsterdam citizens currently single? Or is it a different percentage?

This simple tutorial quickly walks you through the basics.

### SPSS Binomial Test Tutorial

This tutorial walks you through running and interpreting a binomial test in SPSS. With step-by-step example on downloadable practice data file.

### Z-Test and Confidence Interval Proportion Tool

This z-test compares separate sample proportions to a hypothesized population proportion. This tool is freely downloadable and super easy to use.

### SPSS Sign Test for One Median – Simple Example

SPSS sign test for one median the right way. Recode your outcome variable into values higher and lower than the hypothesized median and test if they're distribted 50/50 with a binomial test.

## Nonparametric Tests - 2 Independent Samples

### SPSS Mann-Whitney Test – Simple Example

The Mann-Whitney test is an alternative for the independent samples t test when the assumptions required by the latter aren't met by the data. The most common scenario is testing a non normally distributed outcome variable in a small sample (say, n < 25).

### Z-Test and Confidence Intervals Independent Proportions Tool

SPSS Z-Test and Confidence Intervals for 2 Independent Proportions Tool. Freely downloadable and easy to use from the menu.

### SPSS Median Test for 2 Independent Medians

SPSS median test evaluates if two groups of respondents have equal population medians on some variable. This easy tutorial quickly walks you through.

## Nonparametric Tests - 3(+) Independent Samples

### SPSS Kruskal-Wallis Test – Simple Tutorial with Example

SPSS Kruskal-Wallis test is a nonparametric alternative for a one-way ANOVA. This tutorial shows how to run it and when to use it.

### SPSS Wilcoxon Signed-Ranks Test – Simple Example

SPSS Wilcoxon Signed-Ranks test is used for comparing two metric variables measured on one group of cases. It's the nonparametric alternative for a paired-samples t-test when its assumptions aren't met.

### SPSS McNemar Test

SPSS McNemar test is a procedure for testing whether the proportions of two dichotomous variables are equal. The two variables have been measured on the same cases.

### SPSS Sign Test for Two Medians – Simple Example

SPSS sign test for two related medians tests if two variables measured in one group of people have equal population medians.

### SPSS Friedman Test Tutorial

SPSS Friedman test compares the means of 3 or more variables measured on the same respondents. Like so, it is a nonparametric alternative for a repeated-measures ANOVA that's used when the latter’s assumptions aren't met.

### SPSS Cochran Q-Test

SPSS Cochran's Q test is a procedure for testing whether the proportions of 3 or more dichotomous variables are equal. These outcome variables have been measured on the same people or other statistical units.

# Tell us what you think!

*Required field. Your comment will show up after approval from a moderator.

# THIS TUTORIAL HAS 7 COMMENTS:

• ### By Monalisa on September 21st, 2018

Great help!

• ### By Loo on September 24th, 2018

Hi Ruben, Post hoc test is available for chi square test of independence by using standard residual method, for example for a 3 by 3 chi square table. But, is it possible to do it for a 2 by 2 table?

• ### By Ruben Geert van den Berg on September 24th, 2018

Hi Loo!

Post hoc tests examine which proportions differ if the main chi-square independence test indicates that 2 variables are associated.

For a 2 by 2 table, however, you're comparing only 2 proportions. So there's no question which proportions differ -there's only 2 of them.

On top of that, a z-test for 2 independent proportions is preferred over the chi-square test here. The significance levels are identical but the z-test provides a confidence interval of the difference too -which is very informative. For some stupid reason, it's missing from SPSS but we built a simple tool for it.

You can also inspect the (Pearson) correlation between the 2 variables. For some dumb reason it's called a phi coefficient for 2 dichotomous variables but it's technically identical to a Pearson correlation.

Last, Bonferroni corrected pairwise z-tests for larger (2 by 3, 3 by 3...) tables are often preferred over the adjusted standardized residuals. You can request the latter by adding BPROP to the CELLS subcommand as in

CROSSTABS education BY marital_status
/CELLS COUNT COLUMN BPROP
/STATISTICS CHISQ PHI.

Note that these tests only compare column (not row!) proportions.

Hope that helps!

SPSS tutorials

• ### By Mohamed on November 10th, 2018

Hi there
What apout IRT in spss ver 15
Tell me
Thank you

• ### By Ruben Geert van den Berg on November 10th, 2018

Hi Mohamed!

What do you mean by "IRT"? Item Response Theory? Please clarify.

Thx!

SPSS tutorials