These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 18662491)

  • 1. Promoting drivers' compliance with speed limits: testing an intervention based on the theory of planned behaviour.
    Elliott MA; Armitage CJ
    Br J Psychol; 2009 Feb; 100(Pt 1):111-32. PubMed ID: 18662491
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Smartphone use among young drivers: Applying an extended Theory of Planned Behaviour to predict young drivers' intention and engagement in concealed responding.
    Eren H; Gauld C
    Accid Anal Prev; 2022 Jan; 164():106474. PubMed ID: 34781172
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Determinants of speeding among new generations of car drivers from the Arabian Peninsula. An investigation based among Omani drivers using the theory of planned behaviour.
    Boissin C; Al Maniri AA; Al-Azri AS; Hasselberg M; Laflamme L
    PLoS One; 2019; 14(12):e0226441. PubMed ID: 31841565
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Insights into targeting young male drivers with anti-speeding advertising: An application of the Step approach to Message Design and Testing (SatMDT).
    Lewis I; White KM; Ho B; Elliott B; Watson B
    Accid Anal Prev; 2017 Jun; 103():129-142. PubMed ID: 28431345
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cross-cultural differences in drivers' speed choice.
    Wallén Warner H; Ozkan T; Lajunen T
    Accid Anal Prev; 2009 Jul; 41(4):816-9. PubMed ID: 19540971
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Understanding the predictors of young drivers' speeding intention and behaviour in a three-month longitudinal study.
    Vankov D; Schroeter R; Twisk D
    Accid Anal Prev; 2021 Mar; 151():105859. PubMed ID: 33385959
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The social cognitive determinants of offending drivers' speeding behaviour.
    Elliott MA; Thomson JA
    Accid Anal Prev; 2010 Nov; 42(6):1595-605. PubMed ID: 20728608
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of the theory of planned behaviour to the prediction of objectively assessed breaking of posted speed limits.
    Conner M; Lawton R; Parker D; Chorlton K; Manstead AS; Stradling S
    Br J Psychol; 2007 Aug; 98(Pt 3):429-53. PubMed ID: 17705940
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Drivers' compliance with speed limits: an application of the theory of planned behavior.
    Elliott MA; Armitage CJ; Baughan CJ
    J Appl Psychol; 2003 Oct; 88(5):964-72. PubMed ID: 14516256
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting the monitoring/reading of communications on a smartphone among young drivers using an extended theory of planned behaviour.
    Murphy G; Gauld C; Lewis I
    Accid Anal Prev; 2020 Mar; 136():105403. PubMed ID: 31855711
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Young drivers' engagement with social interactive technology on their smartphone: Critical beliefs to target in public education messages.
    Gauld CS; Lewis IM; White KM; Watson B
    Accid Anal Prev; 2016 Nov; 96():208-218. PubMed ID: 27543898
    [TBL] [Abstract][Full Text] [Related]  

  • 12. What factors predict drivers' self-reported lane change violation behavior at urban intersections? A study in China.
    Wang X; Xu L; Hao Y
    PLoS One; 2019; 14(5):e0216751. PubMed ID: 31091261
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Concealing their communication: exploring psychosocial predictors of young drivers' intentions and engagement in concealed texting.
    Gauld CS; Lewis I; White KM
    Accid Anal Prev; 2014 Jan; 62():285-93. PubMed ID: 24211560
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and evaluation of a mass media Theory of Planned Behaviour intervention to reduce speeding.
    Stead M; Tagg S; MacKintosh AM; Eadie D
    Health Educ Res; 2005 Feb; 20(1):36-50. PubMed ID: 15198999
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The beliefs which motivate young male and female drivers to speed: a comparison of low and high intenders.
    Horvath C; Lewis I; Watson B
    Accid Anal Prev; 2012 Mar; 45():334-41. PubMed ID: 22269517
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of Chinese drivers' intentions to park illegally in emergency lanes: An application of the theory of planned behavior.
    Zheng Y; Ma Y; Guo L; Cheng J; Zhang Y
    Traffic Inj Prev; 2018; 19(6):629-636. PubMed ID: 29927622
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effects of implementation intentions on the self-reported frequency of drivers' compliance with speed limits.
    Elliott MA; Armitage CJ
    J Exp Psychol Appl; 2006 Jun; 12(2):108-17. PubMed ID: 16802892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluating the effectiveness of a road safety education intervention for pre-drivers: an application of the theory of planned behaviour.
    Poulter DR; McKenna FP
    Br J Educ Psychol; 2010 Jun; 80(Pt 2):163-81. PubMed ID: 20070919
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Virtual testing of speed reduction schemes on urban collector roads.
    Domenichini L; Branzi V; Meocci M
    Accid Anal Prev; 2018 Jan; 110():38-51. PubMed ID: 29101788
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identifying beliefs underlying pre-drivers' intentions to take risks: An application of the Theory of Planned Behaviour.
    Rowe R; Andrews E; Harris PR; Armitage CJ; McKenna FP; Norman P
    Accid Anal Prev; 2016 Apr; 89():49-56. PubMed ID: 26803598
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.