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

J. P. Verma ()
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J. P. Verma: Lakshmibai National University of Physical Education, Research and Advanced Studies

Chapter Chapter 8 in Data Analysis in Management with SPSS Software, 2013, pp 255-290 from Springer

Abstract: Abstract 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.

Keywords: Critical Difference; Sales Manager; Incentive Group; Average Sale; Dark Chocolate (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-81-322-0786-3_8

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