SPSS Tutorial #9: How to Check for and Deal with Outliers in SPSS
Outliers are data values that are different from most of the data values in a dataset. They can either be extremely high or extremely low compared to the rest of the data values. This post...
In addition to using descriptive statistics for preliminary analysis, one can also use graphs. Unlike the statistics, graphs offer a visual way of exploring the data further. This post illustrates...
SPSS Tutorial #7: Preliminary Analysis using Descriptive Statistics in SPSS
After checking for and correcting errors in your dataset, the next important step before running your analysis is to conduct preliminary analysis to explore the nature of your data. One can conduct...
SPSS Tutorial #6: How to Code, Define, Analyse, and Deal with Missing Values in SPSS
It is rare to have a dataset that is complete hence it is important to know how to code, define and deal with missing data. This is a comprehensive post about missing values in SPSS. Reasons for...
There are some instances where you have a large dataset but stored in different files, which you need to merge to conduct your analysis. This post demonstrates how to merge different data files into...
Before you start analysing your data, it is important to clean it first so that you start with a clean dataset. Data cleaning in SPSS involves two steps: checking whether the dataset has any errors,...
