Journal:

Open Differential Psychology

Title:

The personal Jensen coefficient does not predict grades beyond its association with g

Authors:

Emil O. W. Kirkegaard

Abstract:

General intelligence (g) is known to predict grades at all educational levels. A Jensen coefficient is the correlation of subtests' g-loading with a vector of interest. I hypothesized that the personal Jensen coefficient from the subjects' subtest scores might predict grade average beyond g. I used an open dataset to test this. The results showed that the personal Jensen coefficient did not seem to have predictive power beyond g (partial correlation = -.02).

Keywords:

intelligence, Jensen effect, method of correlated vectors, g-loading, grade point average, educational achievement

PDF.

All project files.

Open Differential Psychology

Title:

The personal Jensen coefficient does not predict grades beyond its association with g

Authors:

Emil O. W. Kirkegaard

Abstract:

General intelligence (g) is known to predict grades at all educational levels. A Jensen coefficient is the correlation of subtests' g-loading with a vector of interest. I hypothesized that the personal Jensen coefficient from the subjects' subtest scores might predict grade average beyond g. I used an open dataset to test this. The results showed that the personal Jensen coefficient did not seem to have predictive power beyond g (partial correlation = -.02).

Keywords:

intelligence, Jensen effect, method of correlated vectors, g-loading, grade point average, educational achievement

PDF.

All project files.