Analysis of Covariance ( commonly known as ANCOVA ) is a technique that falls somewhere between analysis of variance and regression analysis. The main purpose of the analysis of covariance (Ancova) is to increase the accuracy (adjustment) of the comparison between the treatment means by including a companion variable (this accompaniment variable is considered to affect the diversity of responses so that the influence of this variable must be removed).
The following is a Covariance Analysis Tutorial for RAK data using SPSS 17 Software .
You can learn the full SPSS: Covariance Analysis (RAK) tutorial in the following video.
SPSS Tutorial: Analysis of Covariance (RAK)
SPSS Tutorial: Analysis of Covariance (RAK)
Tutorial
If you are interested in SPSS Tutorial: Covariance Analysis (RAK) , please subscribe to Smartstat Channel: https://youtube.com/user/smartstatistik
If you are interested in SPSS Tutorial: Covariance Analysis (RAK) , please subscribe to Smartstat Channel: https://youtube.com/user/smartstatistik
You can learn a list of other SPSS Tutorials at the following link:
