An intervening variable (or mediator) transmits the effect of an independent variable to a dependent variable, exemplified in industrial psychology where the work environment influences job perception affecting behavior. A partial relationship describes the correlation between two variables while controlling for a third, aiming to identify unique variances. This approach is frequently utilized in experimental designs to examine interrelated phenomena.

1. What is an Intervening Variable, Casual Prior Variable, and Partial Relationship? What is an
example of each and how can they be described in statistics?
Solution
An intervening variable also known as mediator transmits the effect of an independent variable
to a dependent variable. In industrial psychology the work environment is a major factor which
leads to changes in the intervening variable of job perception and which in turn affects
behavioral outcomes.
Partial relationship is the correlation between two variables while controlling for a third variable.
The purpose of partial relationship is to find the unique variance between two variables while
eliminating the variance from a third variables.
This technique is used in various experimental design where various interrelated phenomenon
are studied.