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Self-Report Tests of Personality

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.

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Modernization of the Driver Behaviour Questionnaire.

Sheila T D Cordazzo¹, Charles T Scialfa¹, Rachel Jones Ross¹

¹University of Calgary, Department of Psychology, 2500 University Drive, N.W., Calgary, Alberta, Canada T2N 1N4.

Accident; Analysis and Prevention

|December 15, 2015

Summary

This summary is machine-generated.

This study refined the Driver Behaviour Questionnaire (DBQ) to identify unsafe driving behaviors. The updated factors successfully predicted driver collisions and citations, offering insights into accident risk.

Keywords:

Aging Collisions Driver behavior Errors Inattention Violations

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Area of Science:

Psychology
Transportation Safety
Gerontology

Background:

The Driver Behaviour Questionnaire (DBQ) was updated to include a broader range of driving behaviors.
Focus areas included inattention, distraction, aggressive driving, and age-related health factors.

Purpose of the Study:

To validate a contemporary factor structure of unsafe driving behaviors.
To assess the predictive power of these factors for self-reported collisions and police citations.

Main Methods:

A sample of 3295 drivers (aged 19-80+) completed the revised DBQ.
The questionnaire included demographic data, driving history, and 105 behavior-related questions.
Exploratory factor analysis and regression analyses were conducted.

Main Results:

A 65-item scale with four factors emerged: Inattention Errors, Age-Related Problems, Distraction and Hurry, and Aggressive Violations.
Factor scores significantly predicted self-reported, at-fault collisions.
Factor scores also predicted police citations.

Conclusions:

The identified factor structure aligns with current understandings of unsafe driving.
The study demonstrates the potential of these factors in identifying individual differences linked to driving accidents and citations.