How to Do Data Analysis With SPSSHall, Shane
ANOVA (Analysis of Variance) explained in simple terms. T-test comparison. F-tables, Excel and SPSS steps. Repeated measures.
But if you want to perform the advanced analysis, you must do it in a program like Excel. (Download in .csv format is a standard, .xls is less popular but easier to work with if you're not a spreadsheet maestro.) 11. User and domain management Sometimes, you might want to add ...
I just fixed SPSS v27 on an iMac running MacOS Catalina (10.15.7) that was experiencing the error message, "An unknown error has terminated communication with the processor. The SPSS Statistics Processor is unavailable," when trying to different analysis. I found Interim Fix 006: 27.0-...
In any case: we usually want to exclude outliers from data analysis. So how to do so in SPSS? We'll walk you through 3 methods, using life-choices.sav, partly shown below.In this tutorial, we'll find outliers for these reaction time variables....
In any case: we usually want to exclude outliers from data analysis. So how to do so in SPSS? We'll walk you through 3 methods, using life-choices.sav, partly shown below.In this tutorial, we'll find outliers for these reaction time variables....
In many situations, such as prior to performing linear regression analysis, researchers want to test their data for linearity. Linearity means that two variables, "x" and "y," are related by a mathematical equation "y = cx," where "c" is any constant number. The importance of testing for...
Each of the techniques available is well suited to certain types of data and situations, but often it is helpful to combine techniques in the same analysis to capture the full range of documents records. You may see a concept in multiple categories or find redundant categories. ...
Methods to do this can be based either on graphical or numerical methods. In our enhanced moderator analysis guide, we: (a) show you how to check this assumption using the Shapiro-Wilk test for normality using SPSS Statistics; (b) explain how to interpret the result; and (c) provide ...
Step 1. Converting source data to a standard format In this first step, the data you import is converted to a uniform format that can be used for further analysis. This conversion is performed internally and does not change your original data. ...