## Introduction

Although there is a relatively large overlap between the statistical tests in SPSS Statistics and Q, very few of the default tests in Q match the default tests available in SPSS.

## Method

If seeking to compare test outputs between the programs the following needs to be kept in mind:

- In Q, test selection is usually done by changing the data setup, rather than by selecting specific tests (see Tests Of Statistical Significance).
- Most statistical tests in SPSS assume that either the data is unweighted, or, that any weights are
*frequency weights*. Q, by contrast, assumes that weights are*sampling weights*. See Using Frequency Weights in Q for instructions for making Q treat the weights as*frequency weights*. - The rule called Significance Testing in Tables - Independent Samples Column Means and Proportions Tests has been designed to replicate some commonly used SPSS tests.

## Next

How To Replicate SPSS Custom Tables Significance Tests

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