Related Experiment Videos
Testing an extended theory of planned behaviour to predict young people's sun safety in a high risk area
Katherine M White1, Natalie G Robinson, Ross McD Young
1School of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia. km.white@qut.edu.au
Objectives:
The present research examined the sun protection intentions and behaviours of young people in a high risk skin cancer area using an extended theory of planned behaviour (TPB) incorporating additional social influences of group and image norms.
Design:
The study employed a prospective design to examine young people's sun protection intentions and behaviour.
Method:
Participants (N=1,134), aged 12-20 years, were students (school, university, TAFE) and young employees living in Queensland, Australia. Participants completed a questionnaire assessing the TPB predictors (attitude, subjective norm, perceived behavioural control) and additional social influences (group norm, image norm) of sun protection intentions. Two weeks later, participants (N=734) reported their sun protection behaviour for the previous fortnight.
Results:
Results revealed that the TPB variables of attitude, subjective norm and perceived behavioural control and the additional social influence variable of group norms, but not image norms, emerged as significant predictors of intentions to engage in sun protection. The extended TPB variables accounted for 36% of the variance in intentions. For behaviour, the extended TPB variables accounted for 27% of the variance with both intention and, unexpectedly, group norm as the significant direct predictors of sun protective behaviours.
Conclusions:
Results of this study provide support for the application of the TPB in the sun safety context and highlight the importance of considering the influence of group norms in the development of future interventions to increase young people's sun protection intentions and behaviour.
Related Concept Videos
Longitudinal Research
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
What is an Experiment?
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...