You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Four-Variable Causal Models and Partial Correlations
H. M. Blalock
American Journal of Sociology
Vol. 68, No. 2 (Sep., 1962), pp. 182-194
Published by: The University of Chicago Press
Stable URL: http://www.jstor.org/stable/2774722
Page Count: 13
You can always find the topics here!Topics: Modeling, Mathematical independent variables, Causality, Correlations, Zero, Mathematical dependent variables, Causation, Temporal logic
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
Simon's method for making causal inferences from correlational data is applied to the various possible four-variable causal models. Prediction equations are given for forty-one models, so that the goodness of fit of any particular model can easily be evaluated without the use of tedious computations. Certain suggestion are also made for handling problems involving a larger number of variables. The major purpose of the paper, however, is to investigate what happens to the correlations between two variables when controls are made for variables which are causally related to these variables in different ways.
American Journal of Sociology © 1962 The University of Chicago Press