Categorical variables can't readily be used as predictors in regression analysis; they must be split up into dichotomous variables known as “dummy variables”.

This tutorial offers a super easy tool for creating these.

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*"I'd like to mean center a lot of variables in order to compute interaction terms for a regression analysis. Is there an easy way to do this for many variables simultaneously?"*

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This simple SPSS tool creates one, many or all scatterplots among a set of variables.

Optionally, it adds (non)linear fit lines and regression tables as well.

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This tutorials presents a super simple tool for

- removing prefixes,
- removing suffixes and
- performing text replacements

over value labels and/or variable labels.

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In some cases we'd like to reverse code values so that higher values reflect a more positive attitude. This handy tool does so for one or many variables. Value labels are corrected automatically.

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Some SPSS commands, especially RECODE and ALTER TYPE, can make irreversible changes to your data. Before doing so, we routinely make backup copies of the variables we'll modify. This tutorial presents a super easy tool for doing so fast.

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Simple, menu based tool for running SPSS VARSTOCASES while retaining variable labels of input variables. Comes in very handy for creating nice charts and tables.

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SPSS doesn't offer an easy way to set decimal places for output tables. This tutorial proposes a very simple tool for setting decimal places in basic output tables after they've been produced.

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The SPSS Set Chart Sizes Tool sets exact chart sizes for one or many charts in the output window. Freely downloadable with simple dialog window.

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This tutorial presents a simple, menu based tool for computing confidence intervals for Pearson correlations given their sample sizes.

Since the tool does not require raw data, it can be used for correlations obtained from SPSS, other software or even journal articles.

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

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

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