Our online SPSS tutorials

              show you how to use this software
                          so you can analyse your data with great ease. 

As a start you you need to have data. Sometimes the data are gathered or delivered in Excel. It is easy to read the data from Excel into SPSS, if the file meets certain conditions. In this video I show you how to read the data from Excel into SPSS and how to handle when problems occur.

After entering the data in SPSS, a lot of settings have to be controlled. It might take some time to check and adjust them, but it will make working with SPSS a lot easier and faster. In this video I show you how these settings should be and how to adjust them when necessary.

It is logical that SPSS has a data file. It is logical it writes the output in a separate file too. But what fore a syntax file is needed? In this video I explain to you what a syntax file is, how it is created and how to make use of it.

Often, especially in the beginning, you have to search for certain data. An outlier might have to be found, or a specific value in a list of numbers. In this video I show you how to search, find and replace values in your dataset. Besides that I teach you how to find variabels in a long variable list.

Sometimes data are stored in two different files. In SPSS it is very easy to add the dat in one file to the other. Two main types of merging data files can be distinguished. One of them has two subtypes. In this video you will learn all about that and I show you how the work is dome in SPSS.

Aggregating the data is useful when the data of individuals are needed on a higher level. For instance, the data of all football players in the Europe league are scored, but the analyses are done on the teams.  In this video I show you how to aggregate the data.

Before any statistical analysis is performed the variables to be used should be described. This is done  with the command Frequencies. This command can perform a lot more. The mean, standard deviation, skewness and kurtosis can be calculated, a graph can be made and the quartile, quintile or any other breaking points  can be calculated.

To test representativity often a distribution of the gathered response should be compared with the distribution of the population. This test can be used for that. I think that this test should be used more often.

If you want to find out wether two groups differ from each other, often the means of the groups are compared. To test the difference between two means, a t-test has to be performed. In SPSS this test is called the independent samples t-test. In this video I explain how to perform this test in SPSS and explain the output SPSS produces.

In this video I show you three ways to perform an ANOVA in SPSS. An ANOVA test is by itself very basic. Extra information is needed. How to retrieve this information and how to interpret the results is show in the second video.

Some questions are simple, but sometime hard to answer. For instance: Do the Chinese earn more than € 1000,- per month on average? This is called a one-sample t-test.  Collecting the data may take some time. The test is simple and can be done in minutes. In this video I show you how this test  is performed in SPSS.

Groups can be compared, but features or characteristics too. These characteristics can be measured at the same time, but a lapse in time can be possible too. In this video I explain clearly how the data should look like to perform a paired samples t-test.

With a MW U-test you check whether two groups differ from each other on an aspect that has been measured at ordinal level. Sometimes the MW U-test is replaced by the t-test for groups, and sometimes the other way around. The tests are similar, but not interchangeable. In this video I explain in detail how to perform a MW U-test in SPSS.

The Kruskal-Wallis test is an alternative for the RM-ANOVA. In this video I tell you the requirements for this test and how the Kruskal-Wallis test should be performed in SPSS.

The Wilcoxon test is an alternative for the paired samples t-test. Both tests can be applied on the same data. In this video I show you how to perform a Wilcoxon test in SPSS.

The Friedman test isn't a widely used test. More often a RM-ANOVA is performed. In this video I explain when this test should be used, how it has to be run in SPSS and how to read the outcome of this test.

An ANCOVA is an ANOVA with one or more grouping variables and one or more continuous variable. For this the command General Liner Model can be used. With this analysis a regression analysis with dummies can be performed too. Perhaps it is even simpler. However it has some disadvantages.