In the previous post, we looked at simple linear regression in SPSS, where only one explanatory variable was considered. In real-life scenarios, we will always have more than one variable explaining...
Posts by Grace Njeri-Otieno
Simple linear regression is used to model the influence of one variable, called the independent variable or predictor variable on another variable, called the dependent or outcome variable. In this...
Partial correlation is almost similar to Pearson product-moment correlation only that it accounts for the influence of another variable, which is thought to be correlated with the two variables of...
In this post, I discuss what correlation is, the two most common types of correlation statistics used (Pearson and Spearman), and how to conduct correlation analysis in SPSS. What is correlation...
SPSS Tutorial #10: How to Check for Normality of Data in SPSS
The normality assumption states that the data is normally distributed. This post touches on the importance of normality of data and illustrates how to check for normality of data in SPSS. Why...
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...