Data Analysis using SPSS

In the previous post, we looked at simple linear regression in SPSS, where only one explanatory variable was considered. In […]

Simple linear regression is used to model the influence of one variable, called the independent variable or predictor variable on […]

Partial correlation is almost similar to Pearson product-moment correlation only that it accounts for the influence of another variable, which […]

In this post, I discuss what correlation is, the two most common types of correlation statistics used (Pearson and Spearman), […]

The normality assumption states that the data is normally distributed. This post touches on the importance of normality of data […]

Outliers are data values that are different from most of the data values in a dataset. They can either be […]

In addition to using descriptive statistics for preliminary analysis, one can also use graphs. Unlike the statistics, graphs offer a […]

After checking for and correcting errors in your dataset, the next important step before running your analysis is to conduct […]

It is rare to have a dataset that is complete hence it is important to know how to code, define […]

There are some instances where you have a large dataset but stored in different files, which you need to merge […]