Abstract
Path analysis introduced by Wright in 1921 as "correlation and causation" has been extensively used in agriculture, sociology, and epidemiology, among many other fields. This study will review path diagrams, algorithms, and the relationship to standardized and mUltivariate regression analyses. Basic assumptions underlying path analysis (e.g., cause and effect relationship, linearity of regression, complete additivity) will also be discussed. Several research examples will be presented to better acquaint statisticians invol ved in agricultural research wi th the methodology and application of path analysis suitable for agricultural data. The method of path coefficient is simple, easy to use, and if "tracing rules" in a path diagram are learned, the method of path coefficient could be an important research tool.
Keywords
Path coefficient, Path diagram, Causal relations, Tracing rules, Inbreeding, Multiple regression
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Bondari, K.
(1990).
"PATH ANALYSIS IN AGRICULTURAL RESEARCH,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1439
PATH ANALYSIS IN AGRICULTURAL RESEARCH
Path analysis introduced by Wright in 1921 as "correlation and causation" has been extensively used in agriculture, sociology, and epidemiology, among many other fields. This study will review path diagrams, algorithms, and the relationship to standardized and mUltivariate regression analyses. Basic assumptions underlying path analysis (e.g., cause and effect relationship, linearity of regression, complete additivity) will also be discussed. Several research examples will be presented to better acquaint statisticians invol ved in agricultural research wi th the methodology and application of path analysis suitable for agricultural data. The method of path coefficient is simple, easy to use, and if "tracing rules" in a path diagram are learned, the method of path coefficient could be an important research tool.
