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Development of a valid measurement instrument to understand self-regulatory driving practices among older drivers in Malaysia

Overview of attention for article published in Accident Analysis & Prevention, March 2016
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Title
Development of a valid measurement instrument to understand self-regulatory driving practices among older drivers in Malaysia
Published in
Accident Analysis & Prevention, March 2016
DOI 10.1016/j.aap.2016.03.009
Pubmed ID
Authors

Sok Foon Yeoh, Rahimah Ibrahim, Jennifer Oxley, Tengku Aizan Hamid, Sharifah Norazizan Syed Abd. Rashid

Abstract

Self-regulatory driving is a term used to describe a strategy used by older drivers to preserve mobility and safety, through the adjustment of driving behaviors to match declining physical functions. It can be regarded as a way to prolong driving, or as a process leading to the cessation of driving. Previous studies have striven to explore and understand how older drivers self-regulate their driving. This paper aims to provide an overview of the relevant theories, to explicate the factors that contribute to the adoption of self-regulated driving and the scales used to measure self-regulatory behaviors. This paper also reports on the development and psychometric testing of a Self-Regulatory Driving Practices (SRDP) scale in the Malaysian context. Based on the reviewed theories, adoption of self-regulatory driving practices is a process and involves cognitive thinking that reflects a set of actions. Existing instruments to measure self-regulatory driving practices have been developed and used to identify the behavioral components of self-regulation. Based on literature reviews and a thematic analysis from focus group discussions, a SRDP scale was developed, accommodating the Malaysian context. There were 498 surveys completed by older drivers for further psychometric testing purposes. Results revealed that the final 12-item SRDP scale (α=0.81) consists of four subscales that are planning, avoidance, reduction and alternatives. Suggestions for future research are also recommended.

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Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Student > Master 10 15%
Student > Bachelor 9 14%
Researcher 6 9%
Student > Doctoral Student 4 6%
Other 10 15%
Unknown 14 22%
Readers by discipline Count As %
Engineering 16 25%
Business, Management and Accounting 7 11%
Social Sciences 7 11%
Nursing and Health Professions 4 6%
Medicine and Dentistry 4 6%
Other 14 22%
Unknown 13 20%