Causal pathways when independent variables are co-related: new interpretational possibilities

M. Kozak, M.S. Kang and M. Stępień
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M. Kozak: Department of Biometry, Warsaw Agricultural University, Warsaw, Poland
M.S. Kang: Schoolof Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, L.A., USA
M. Stępień: Department of Soil Environment Sciences, Warsaw Agricultural University, Warsaw,

Plant, Soil and Environment, 2007, vol. 53, issue 6, 267-275

Abstract: We propose a novel interpretation in classical path analysis, whereby the influence of k independent variables on a dependent variable can be analyzed. The approach should be useful to study a causal structure with the assumption that this structure is true for the situation investigated. We propose a new coefficient, Qi, which provides a better interpretation of classical path analysis. We provide an example in which effects of certain soil properties on grain yield of winter rye (Secale cereale L.) were examined.

Keywords: causal systems; determination coefficient; indirect effects; path analysis (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlpse:v:53:y:2007:i:6:id:2220-pse

DOI: 10.17221/2220-PSE

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