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2020-02-18

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Mahapatra, S.K., Dash, A., Pradhan, J., 2020. Application of path analysis in agricultural research. Biotica Research Today 2(2), 18-20.

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HOME / ARCHIVES / Vol. 2 No. 2 : February (2020) / Popular Article

Application of Path Analysis in Agricultural Research

Subrat K. Mahapatra*

College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar, Odisha (751 003), India

Abhiram Dash

College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar, Odisha (751 003), India

Jayashankar Pradhan

IRRI-OUAT Collaborative Research Project,OUAT,Bhubaneswar, Odisha (751 003), India

DOI: NIL

Keywords: Multiple regression analysis, Multivariate analysis, Path Analysis

Abstract


Path analysis is a form of multiple regression-statistical analysis used to evaluate causal models by examining the relationships between a dependent variable and two or more independent variables.Using this method, one can estimate both the magnitude and significance of causal connections between variables. In statistics, path analysis is used to describe the directed dependencies among a set of variables. This includes models equivalent to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis, as well as more general families of models in the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA).

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Reference


Dewey, D.R., Lu, K.H., 1959. A correlation and path coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal 51, 515-518.

Wright, S., 1921. Correlation and causation. Journal on Agricultural Research 20, 557-585.

Wright, S., 1934. The method of path coefficient. Annals of Mathematical Statistics 5(3), 161-215.