Designing and validating a questionnaire to understand beliefs, intentions, and behaviors relating to distracted driving in young people

<b>Objective:</b> Distracted driving, particularly any activity requiring long glances toward a phone while driving, is common among young drivers and represents a significant road safety concern. This study used a theory-informed approach to design a questionnaire examining beliefs, intentions, and behaviors relating to distracted driving in young people. <b>Methods:</b> Semi-structured interviews with 20 high school students were conducted using the Integrative Model of Behavioral Prediction (IMBP) framework to explore attitudes, social norms, and perceived behavioral control. The beliefs identified were incorporated into a 38-item closed-ended questionnaire. The questionnaire was then administered to a geographically representative sample of US high school students with a driver’s license. Statistical analyses included correlation analysis and linear regression to evaluate interrelationships among questionnaire items and their associations with established distracted driving measures. <b>Results:</b> Among the geographically representative survey sample (<i>N</i> = 1,126), 50.5% were 18 years of age and 50.9% were female. Participants reported spending an average of 21.1% (<i>SD</i> = 24.6%) of each trip glancing at their phones while driving, and participants estimated that 26.5% (<i>SD</i> = 28.1%) of these glances were two seconds or longer. Reliability analysis showed Cronbach’s alpha ranging from 0.63 (injunctive norms) to 0.83 (negative outcome expectations). Correlation coefficients between proposed measures and Behavioral Risk Factor Surveillance System (BRFSS) questions ranged from 0.22 to 0.50, indicating weak to moderate relationships. Regression analysis demonstrated significant associations between intentions and beliefs: positive outcome expectations (<i>b</i> = 0.01, <i>p</i> &lt; .01), negative outcome expectations (<i>b</i> = −0.01, <i>p</i> &lt; .001), injunctive norms (<i>b</i> = −0.01, <i>p</i> &lt; .01), descriptive norms (<i>b</i> = 0.03, <i>p</i> &lt; .001), and perceived behavioral control (<i>b</i> = −0.01, <i>p</i> &lt; .01). <b>Conclusion</b>: This study investigated the beliefs and behaviors of young drivers regarding making prolonged glances toward a phone while driving, guided by IMBP theory. Findings suggest that the Distracted Driving Belief Questionnaire (DDBQ) is a valuable tool for understanding this high-risk behavior. The DDBQ may help inform interventions to reduce phone-related distractions and enhance road safety among young drivers.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29465341.v1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing and validating a questionnaire to understand beliefs, intentions, and behaviors relating to distracted driving in young people

Figshare
Human-Automation Interaction and Safety
article

Designing and validating a questionnaire to understand beliefs, intentions, and behaviors relating to distracted driving in young people

article en

Abstract

<b>Objective:</b> Distracted driving, particularly any activity requiring long glances toward a phone while driving, is common among young drivers and represents a significant road safety concern. This study used a theory-informed approach to design a questionnaire examining beliefs, intentions, and behaviors relating to distracted driving in young people. <b>Methods:</b> Semi-structured interviews with 20 high school students were conducted using the Integrative Model of Behavioral Prediction (IMBP) framework to explore attitudes, social norms, and perceived behavioral control. The beliefs identified were incorporated into a 38-item closed-ended questionnaire. The questionnaire was then administered to a geographically representative sample of US high school students with a driver’s license. Statistical analyses included correlation analysis and linear regression to evaluate interrelationships among questionnaire items and their associations with established distracted driving measures. <b>Results:</b> Among the geographically representative survey sample (<i>N</i> = 1,126), 50.5% were 18 years of age and 50.9% were female. Participants reported spending an average of 21.1% (<i>SD</i> = 24.6%) of each trip glancing at their phones while driving, and participants estimated that 26.5% (<i>SD</i> = 28.1%) of these glances were two seconds or longer. Reliability analysis showed Cronbach’s alpha ranging from 0.63 (injunctive norms) to 0.83 (negative outcome expectations). Correlation coefficients between proposed measures and Behavioral Risk Factor Surveillance System (BRFSS) questions ranged from 0.22 to 0.50, indicating weak to moderate relationships. Regression analysis demonstrated significant associations between intentions and beliefs: positive outcome expectations (<i>b</i> = 0.01, <i>p</i> &lt; .01), negative outcome expectations (<i>b</i> = −0.01, <i>p</i> &lt; .001), injunctive norms (<i>b</i> = −0.01, <i>p</i> &lt; .01), descriptive norms (<i>b</i> = 0.03, <i>p</i> &lt; .001), and perceived behavioral control (<i>b</i> = −0.01, <i>p</i> &lt; .01). <b>Conclusion</b>: This study investigated the beliefs and behaviors of young drivers regarding making prolonged glances toward a phone while driving, guided by IMBP theory. Findings suggest that the Distracted Driving Belief Questionnaire (DDBQ) is a valuable tool for understanding this high-risk behavior. The DDBQ may help inform interventions to reduce phone-related distractions and enhance road safety among young drivers.

Figshare
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Human-Automation Interaction and Safety
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