The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
A meta-analysis of the effects of texting on driving
Open accessAbstract
Text messaging while driving is considered dangerous and known to produce injuries and fatalities. However, the effects of text messaging on driving performance have not been synthesized or summarily estimated. All available experimental studies that measured the effects of text messaging on driving were identified through database searches using variants of "driving" and "texting" without restriction on year of publication through March 2014. Of the 1476 abstracts reviewed, 82 met general inclusion criteria. Of these, 28 studies were found to sufficiently compare reading or typing text messages while driving with a control or baseline condition. Independent variables (text-messaging tasks) were coded as typing, reading, or a combination of both. Dependent variables included eye movements, stimulus detection, reaction time, collisions, lane positioning, speed and headway. Statistics were extracted from studies to compute effect sizes (rc). A total sample of 977 participants from 28 experimental studies yielded 234 effect size estimates of the relationships among independent and dependent variables. Typing and reading text messages while driving adversely affected eye movements, stimulus detection, reaction time, collisions, lane positioning, speed and headway. Typing text messages alone produced similar decrements as typing and reading, whereas reading alone had smaller decrements over fewer dependent variables. Typing and reading text messages affects drivers' capability to adequately direct attention to the roadway, respond to important traffic events, control a vehicle within a lane and maintain speed and headway. This meta-analysis provides convergent evidence that texting compromises the safety of the driver, passengers and other road users. Combined efforts, including legislation, enforcement, blocking technologies, parent modeling, social media, social norms and education, will be required to prevent continued deaths and injuries from texting and driving.
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Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. (1989) · Technometrics · doi:10.1080/00401706.1989.10488618 · Cited by 99,167
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Statistical power analysis for the behavioral sciences
(1990) · Computers, Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,269
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., Abraham, J., Adair, T., Aggarwal, R., Ahn, S. Y., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61728-0 · Cited by 14,070
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
Lipsey, M. W., & Wilson, D. B. (1993) · American Psychologist · doi:10.1037/0003-066x.48.12.1181 · Cited by 2,033
Meta-Analysis: Recent Developments in Quantitative Methods for Literature Reviews
Rosenthal, R., & DiMatteo, M. R. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.59 · Cited by 1,780
Klauer, S. G., Dingus, T. A., Neale, V. L., Sudweeks, J. D., & Ramsey, D. J. (2006) · PsycEXTRA Dataset · doi:10.1037/e729262011-001 · Cited by 1,669
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Wilmer, H. H., Sherman, L. E., & Chein, J. M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00605 · Cited by 736
Problematic smartphone use among Lebanese adults aged 18–65 years using MPPUS-10
Nahas, M., Hlais, S., Saberian, C., & Antoun, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.06.009 · Cited by 91
kita, E., & Luria, G. (2018) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2018.09.001 · Cited by 87
Texting while driving using google glass™: Promising but not distraction-free
He, J., Choi, W., McCarley, J. S., Chaparro, B. S., & Wang, C. (2015) · Accident Analysis & Prevention · doi:10.1016/j.aap.2015.03.033 · Cited by 71
Texting while driving: a discrete choice experiment
Foreman, A. M., Friedel, J. E., Hayashi, Y., & Wirth, O. (2021) · Accident Analysis & Prevention · doi:10.1016/j.aap.2020.105823 · Cited by 20
Metadata
- Authors
- Caird, J. K., Johnston, K. A., Willness, C. R., Asbridge, M., & Steel, P.
- Venue
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 71
- Pages
- 311-318
- ISSN
- 0001-4575 (ISSN-L)
- OpenAlex
- W2075606589
- Cited by
- 451
- References
- 57
- FWCI
- 17.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
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