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, <i>Q<sub>i</sub></i>, 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 (<i>Secale cereale</i> L.) were examined.
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