Related Experiment Video
Updated: Mar 26, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
Abstract:
Methods for the calculation of eta squared have recently been presented for examining the strength of relationship in univariate analysis of variance. This paper extends them to the multivariate used in which the effects of independent variables may be examined in relation to two or more dependent variables and presents considerations for the calculation, use, and interpretation of the coefficients. The concepts of eta squared are generalized to the rnultivaziate case through the application of the multivariate general linear hypothesis Both orthogronal and nonorthogonal solutions are considered and an example of the former is presented.
More Related Videos
Related Concept Videos
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
One-Way ANOVA
Friedman Two-way Analysis of Variance by Ranks
Bonferroni Test
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
One-Way ANOVA: Unequal Sample Sizes

