So, that is how to use SPSS to create Z-scores very quickly. This is the Z-scores of the Scores variable we started with. So, in the example, this is called Zscores.
If you now go to the Data View within SPSS, you should see a new variable has been created, which is named as the same variable as before with a Z prefix added. It is this simple tick box which enables the creation of Z-scores! Also, click the option to Save standardized values as variables. Descriptives Examine Frequencies Means Partial Correlations T-tests. Next, move the scores that need to be converted into the Variable(s) box to the right. SPSS equivalent of the SAS DATA STEP Support for R algorithms and graphics. To calculate Z-scores, firstly go to the Descriptives by going to Analyze > Descriptive Statistics > Descriptives.Ģ. To run the frequencies procedure select Analyze, Descriptive Statistics. Select the variables for which you want the descriptives. An alternate way to create data files is to use the SPSS Syntax Editor Window. Simply, it is just a list of 10 scores on a memory test.ġ. SPSS Syntax editor can be accessed by going to File>New>Syntax. To do this, I will use an example, as mentioned previously. Use descriptive statistics to show the basic analysis. Use frequencies to show the frequency analysis. There is three submenus in descriptive statistics we can use frequencies, descriptive, explore. Z-scores, therefore, are a useful way of standardising values. This three menu is the common thing that researcher to analyze the data. What is a Z-score?Ī Z-score, also known as a standard score, represents the number of standard deviations (SDs) a data point is away from the average (mean) of the group. The process is actually ridiculously easy, it’s just not very obvious within the SPSS interface on how to do it. In this guide, I will explain how to calculate Z-scores by using SPSS, in three simple steps.