How to Compare Means in SPSS?

Very few people will use the software and not have to compare means in SPSS on at least a regular basis. It’s probably one of the most routine tasks that users deal with. As a result, many people are already familiar with how to do it but they might not know all of the best ways to do it. Those who need a little assistance will want to inspect the Analysis Menu and spend a little bit of time experimenting with it before they move onto anything more advanced. In addition, learning how to import an Excel into SPSS is a great way to improve connectivity between programs. This guide will show how it’s done easily.

Checking Out Mean Options

Each individual mean comparison procedure is located on a submenu that’s underneath the overall Analysis Menu and is defined as:

= Means: this feature calculates individual subgroup means and each related univariate statistics for some dependent variables within different categories

= One-Sample T Test: this procedure tests if the mean of a separate variable is different from a single specified constant number

= Independent-Samples T Test: this test compares means for a separate pair of cases

= Paired-Samples T Test: this checks to see if two variable measurements have comparable means for a single group

= One-Way ANOVA: this procedure inspects and provides an analysis of variance for a single treatment factor in order to test a hypothesis involving several different means

Some users will end up relying on General Linear Model features or even have a look at the “Non-parametric Tests” menu. Either way is an excellent way to compare multiple means SPSS, but then again the variance tests that the One-Way ANOVA menu provides are usually better anyway. Generally the very first means setting is the one that’s going to be used anyway, so often if some other way is being looked at it won’t actually be as necessary as it appears.

How to Get Means Compared

The general task of comparing means in SPSS is much easier than it sounds. Users don’t have to worry too much about what they’re comparing when they’re using the general means menu, so they can apply that to most different types of tests. While experimenting should always be encouraged, save often. Mean comparisons might end up generating variables and these could cause a few errors.