Testing the practical utility of implicit measures of beliefs for predicting drunk driving

Despite the potential benefits of implicit measures over self-report measures, they are rarely used in real-world contexts to predict behavior. Two potential reasons are that (a) traditional implicit measures typically show low predictive validity and (b) the practical utility of implicit measures h...

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Main Authors: Femke Cathelyn, Pieter Van Dessel, Jan De Houwer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521934/?tool=EBI
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author Femke Cathelyn
Pieter Van Dessel
Jan De Houwer
author_facet Femke Cathelyn
Pieter Van Dessel
Jan De Houwer
author_sort Femke Cathelyn
collection DOAJ
description Despite the potential benefits of implicit measures over self-report measures, they are rarely used in real-world contexts to predict behavior. Two potential reasons are that (a) traditional implicit measures typically show low predictive validity and (b) the practical utility of implicit measures has hardly been investigated. The current studies test the practical utility of a new generation of implicit measures for predicting drunk driving. Study 1 (N = 290) examined whether an implicit measure of beliefs about past drunk driving (i.e., the Past Driving Under the Influence Implicit Association Test; P-DUI-IAT) retrospectively predicts drunk driving in driving school students, a population for which this measure could have applied value. Study 1 also explored whether P-DUI-IAT scores prospectively predicted drunk driving over six months. Due to the low number of offenders, however, Study 1 had low statistical power to test this latter question. In Study 2 (N = 228), we therefore examined the utility of the P-DUI-IAT and a new variant of this test (i.e., the Acceptability of Driving Under the Influence Implicit Association Test; A-DUI-IAT) to prospectively predict drunk driving in an online sample with a high number of offenders. Results from Study 1 show that the P-DUI-IAT predicts self-rated past drunk driving behavior in driving school students (ORs = 3.11–6.12, ps < .043, 95% CIs = [1.11, 37.69]). Results from Study 1 do not show evidence for utility of the P-DUI-IAT to prospectively predict self-rated drunk driving. Results from Study 2, on the other hand, show strong evidence for the utility of both implicit measures to prospectively predict self-rated drunk driving (ORs = 3.80–5.82, ps < .002, 95% CIs = [1.72, 14.47]). Although further applied research is necessary, the current results could provide a first step towards the application of implicit measures in real-world contexts.
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spelling doaj.art-3daa7fd6e2fa48a6924db8782099c0d82022-12-22T04:32:10ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01179Testing the practical utility of implicit measures of beliefs for predicting drunk drivingFemke CathelynPieter Van DesselJan De HouwerDespite the potential benefits of implicit measures over self-report measures, they are rarely used in real-world contexts to predict behavior. Two potential reasons are that (a) traditional implicit measures typically show low predictive validity and (b) the practical utility of implicit measures has hardly been investigated. The current studies test the practical utility of a new generation of implicit measures for predicting drunk driving. Study 1 (N = 290) examined whether an implicit measure of beliefs about past drunk driving (i.e., the Past Driving Under the Influence Implicit Association Test; P-DUI-IAT) retrospectively predicts drunk driving in driving school students, a population for which this measure could have applied value. Study 1 also explored whether P-DUI-IAT scores prospectively predicted drunk driving over six months. Due to the low number of offenders, however, Study 1 had low statistical power to test this latter question. In Study 2 (N = 228), we therefore examined the utility of the P-DUI-IAT and a new variant of this test (i.e., the Acceptability of Driving Under the Influence Implicit Association Test; A-DUI-IAT) to prospectively predict drunk driving in an online sample with a high number of offenders. Results from Study 1 show that the P-DUI-IAT predicts self-rated past drunk driving behavior in driving school students (ORs = 3.11–6.12, ps < .043, 95% CIs = [1.11, 37.69]). Results from Study 1 do not show evidence for utility of the P-DUI-IAT to prospectively predict self-rated drunk driving. Results from Study 2, on the other hand, show strong evidence for the utility of both implicit measures to prospectively predict self-rated drunk driving (ORs = 3.80–5.82, ps < .002, 95% CIs = [1.72, 14.47]). Although further applied research is necessary, the current results could provide a first step towards the application of implicit measures in real-world contexts.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521934/?tool=EBI
spellingShingle Femke Cathelyn
Pieter Van Dessel
Jan De Houwer
Testing the practical utility of implicit measures of beliefs for predicting drunk driving
PLoS ONE
title Testing the practical utility of implicit measures of beliefs for predicting drunk driving
title_full Testing the practical utility of implicit measures of beliefs for predicting drunk driving
title_fullStr Testing the practical utility of implicit measures of beliefs for predicting drunk driving
title_full_unstemmed Testing the practical utility of implicit measures of beliefs for predicting drunk driving
title_short Testing the practical utility of implicit measures of beliefs for predicting drunk driving
title_sort testing the practical utility of implicit measures of beliefs for predicting drunk driving
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521934/?tool=EBI
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