Two-Way Analysis of Variance: Examining Influence of Two Factors on Criterion Variable



A two-way analysis of variance is a design with two factors where we intend to compare the effect of multiple levels of two factors simultaneously on criterion variable. The two-way ANOVA is applied in two situations: first, where there is one observation per cell and, second, where there is more than one observation per cell. In a situation where there is more than one observation per cell, it is mandatory that the number of observations in each cell must be equal. Using two-way ANOVA, where the number of observations per cell is more than one, facilitates us to test if there is any interaction between the two factors.


Critical Difference Sales Manager Incentive Group Average Sale Dark Chocolate 

Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Research and Advanced StudiesLakshmibai National University of Physical EducationGwaliorIndia

Personalised recommendations