Assumptions in Making Causal Inferences From Part Correlations, Partial Correlations and Partial Regression Coefficients (Growth Study Paper #29)
- Author(s):
-
Linn, Robert L.
- Publication Year:
- 1969
- Report Number:
-
RB-69-06
- Source:
-
ETS Research Bulletin
- Document Type:
- Report
- Page Count:
- 20
- Subject/Key Words:
-
Correlation,
Mathematical Models,
Regression (Statistics),
Statistical Analysis,
A Study of Academic Prediction and Growth
Abstract
Given a linear model and that X is antecedent to Y , a third variable, W , which is antecedent to both X and Y , is often used as a control variable to remove any spurious association between X and Y. Four different methods that have been used as measures of the "influence" of X on Y are described. The implicit assumptions that are made in using each of these methods to make causal inferences are stated and compared.
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