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8/8/2019 Research Methodology Glossary Part 4
http://slidepdf.com/reader/full/research-methodology-glossary-part-4 1/2
8/8/2019 Research Methodology Glossary Part 4
http://slidepdf.com/reader/full/research-methodology-glossary-part-4 2/2
13. Analysis of Variance (ANOVA): ANOVA is a family of multivariate statistical
technique for helping to infer whether there are real differences between
the means of 3 or more groups or variables in a population, based on
sample data.
14. One-way ANOVA: It is a way to test the equality of three or more means atone time by using variances.
15. Grand Mean: The Grand mean of a set of samples is the total of all the data
values divided by the total sample size.
16. Total Variation: The Total Variation (not variance) is comprised the sum of
the squares of the differences of each mean with the grand mean (SST).
17. Between Group Variation: The variation due to the interaction between
the samples is denoted SS (B) for Sum of Squares Between groups.
18. Within Group Variation: The variation due to differences within individual
samples denoted SS (W) for Sum of Squares Within groups.19. F Test Statistic: The F test statistic is found by dividing the between group
variance by the within group variance.
20. Two-way ANOVA: It is the extension of one-way ANOVA. Since, there are
two independent variables involve it is known as Two-way ANOVA.
21. Factors: The two independent variables in a two-way ANOVA are called
factors.
22. Treatment Group: Treatment Groups are formed by making all possible
combinations of the two factors.
23. Main Effect: The main effect involves the independent variables one at atime. The interaction is ignored for this part. Just the row or just the
columns are used, not mixed.
24. Interaction Effect: This is the effect that one factor has on the other factor.
The degrees of freedom here are the product of the two degrees of
freedom for each factor.
25. Within Variation: The Within Variation is the sum of squares within each
treatment group.
26. Within Variance: The Within Variance is the within variation divided by its
degrees of freedom.
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