# Analyzing 3 or more paired scale variables

## Visualization (under construction)

In the previous section we got a first impression from the sample data, by looking at the means and standard deviations. To visualise the results there are a few different options:

**Bar Chart of Means**

This is probably the most simplistic chart possible, but will not give much additional insight. It simply is a bar for each variable with as a height the value of the mean.

**Click here to see how to create a Bar Chart of Means with SPSS.**

There are a two different ways to create a frequency table with SPSS.
*using Legacy Dialogs*

*using a table of means*

**Split histogram**

As with the nominal vs. scale visualisation, we could create a histogram for each variable, and simply add them underneath each other. This will already give more insight how the data was distributed for each variable than the Bar Chart of Means.

**Click here to see how to create a Split Histogram of Repeated Measures with SPSS.**

**Split dot plot**

We could also create a dot plot of each variable. This is similar as the split histogram, but if there are only a few data points or only a few different values this might be preferred.

**Click here to see how to create a Split Dot Plot of Repeated Measures with SPSS.**

**Side-by-side box plot**

Box-plots are a bit more technical, and are not understood quickly by those who never seen them. The show the so-called quartiles (minimum, 1st quartile, median, 3rd quartile, and maximum). They give more insight on how the data was distributed.

**Click here to see how to create a Side-by-side box plot of Repeated Measures with SPSS.**

**Parallel Coordinate chart**

Another option is to create so called parallel lines. For each respondent we show how they score goes from one variable to another.

**Click here to see how to create a Parallel Coordinates Chart with SPSS.**

**Scatterplot Matrix**

The last option I would like to mention is a Scatterplot Matrix. In this graph a scatterplot is shown of each possible combination of two of the variables.

**Click here to see how to create a Scatterplot Matrix with SPSS.**

There are a three different ways to do this with SPSS.
*using Chart Builder*

*using Legacy Dialogs*

*using Graphboard*

**3+ Scale variables**

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