Abstract
A typical agricultural experiment involves comparisons of several treatments at different points in time. The ensuing lack of independence between observations of the same experimental unit may then impair the attainment of statistical significance by the standard analysis of variance, and calls for the application of more powerful methods. This paper addresses one such method, the so-called two-factor experiment with repeated measures on one factor. We discuss the adequacy of this model in the context of three concrete examples drawn from agricultural experimentation.
Keywords
Two- factor ANOVA, analysis, repeated measures
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Garsd, Armando; Fabrizio, María del C.; and López, María V.
(1995).
"TWO-FACTOR AGRICULTURAL EXPERIMENT WITH REPEATED MEASURES ON ONE FACTOR IN A COMPLETE RANDOMIZED DESIGN,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1340
TWO-FACTOR AGRICULTURAL EXPERIMENT WITH REPEATED MEASURES ON ONE FACTOR IN A COMPLETE RANDOMIZED DESIGN
A typical agricultural experiment involves comparisons of several treatments at different points in time. The ensuing lack of independence between observations of the same experimental unit may then impair the attainment of statistical significance by the standard analysis of variance, and calls for the application of more powerful methods. This paper addresses one such method, the so-called two-factor experiment with repeated measures on one factor. We discuss the adequacy of this model in the context of three concrete examples drawn from agricultural experimentation.
