The prediction of accident liability through biographical data and psychometric tests

Author(s)
Harano, R.M., McBride, R.S. & Peck, R.C.
Year
Abstract

Classification of drivers through cluster analytical procedures revealed several high and low accident types. These findings indicate that a combination of cluster analyses and multiple regression analyses is a more powerful method than either alone, and that conventional multiple regression procedures can obscure complex relationships between personality and attitudinal factors derived from a psychometric inventory.

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Publication

Library number
B 3616 /83/
Source

Sacramento, California Department of Motor Vehicles, 1973, 107 p., fig., tab., ref.; Research Report No. CAL-DMV-RSS-73-39

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.