Clinical Versus Statistical Prediction
A Theoretical Analysis and a Review of the Evidence
Book • 2013
Paul Meehl's "Clinical vs.
Statistical Prediction" is a seminal work in the field of psychology, comparing the accuracy of clinical judgment against statistical prediction methods.
Meehl's research consistently demonstrates the superiority of statistical prediction in various domains, including clinical psychology, medicine, and education.
He argues that clinical judgment is often susceptible to biases and inconsistencies, while statistical models offer more objective and reliable predictions.
The book's findings have had a profound impact on the fields of psychology and decision-making, advocating for the use of data-driven approaches in prediction.
Meehl's work continues to be relevant in contemporary discussions about the role of data and algorithms in decision-making.
Statistical Prediction" is a seminal work in the field of psychology, comparing the accuracy of clinical judgment against statistical prediction methods.
Meehl's research consistently demonstrates the superiority of statistical prediction in various domains, including clinical psychology, medicine, and education.
He argues that clinical judgment is often susceptible to biases and inconsistencies, while statistical models offer more objective and reliable predictions.
The book's findings have had a profound impact on the fields of psychology and decision-making, advocating for the use of data-driven approaches in prediction.
Meehl's work continues to be relevant in contemporary discussions about the role of data and algorithms in decision-making.
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Ben Recht
#91 - The Uses and Abuses of Statistics (with Ben Recht)
