Methodology
The study consisted of a survey to determine whether applicants with poor dental aesthetics/oral health face prejudice during the job application process of various professional fields such as sales, care or telemarketing. It was shown to what extent such prejudices exist among those responsible for personnel in those professional fields mentioned. The survey was sent to 5,000 HR professionals worldwide. The results are based on a representative sample of 100 people surveyed in Germany, Spain, the USA, Great Britain and Switzerland, as well as a further 500 representative answers for the global results. Those surveyed for global results were based in Argentina, Australia, Brazil, Canada, Iceland, Ireland, Mexico, New Zealand, Spain, the United Kingdom and the United States. Those surveyed for the regional results came exclusively from the specified region.
Poll
The poll was sent to HR professionals via a Google Form poll in the time period between January 21st and February 10th 2020. The privacy policy for the poll was as follows:
Privacy Policy
The procedure involves filling a survey that will take approximately 2 minutes. Your participation in this study is voluntary: if you choose to participate in this survey, you may withdraw at any time. Your responses will be confidential, and we do not collect information identifying respondents such as name, email address, or IP address. The results of this study will be used for an awareness-focused research project on dental health. No single response will be analysed in isolation. The collected data will only be interpreted in aggregate and will be distributed in this form to the wider media. The results will be made available online for free to be used by HR/Recruiting professionals.
The questions posed to the respondents are exactly as written on the results above, along with the same image being used for the final question. More information on the poll questions can be found below.
Poll questions
1. Country of residence
2. Gender (Male, Female, Non-Binary, Prefer Not to Say) N.B. This question is included only to ensure we achieve the samples size required to model a representative population–we will not publish any breakdown of the results by gender.
3. Age. N.B. This question is included only to ensure we achieve the samples size required to model a representative population–we will not publish any breakdown of the results by age.
4. Involvement in the recruitment/hiring process (I am a recruiter working for a firm that helps other companies fill their job openings, I am part of an internal recruitment process helping team managers fill their job openings, I am responsible for hiring for my own team only, I am not responsible for recruiting or hiring, but I am part of the HR industry, I am not part of HR industry, Other). N.B. This question is included only to ensure we achieve the samples size required to model a representative population–we will not publish any breakdown of the results by professional role.
5. Completed Education (Less than a high school diploma, High school degree or equivalent (e.g. GED), Some college, no degree, Associate degree (e.g. AA, AS), Bachelor’s degree (e.g. BA, BS), Master’s degree (e.g. MA, MS, MEd), Professional degree (e.g. MD, DDS, DVM), Doctorate (e.g. PhD, EdD). N.B. Non-required question.
6. How important is an attractive smile for an employee's performance in the specified roles (Nurse, Programmer/IT Technician, Data Analyst/Statistician, Sales Representative, Business Management, Customer Service (face to face role), Telemarketing Role). Give your answer on a scale from 1 to 7 where 1 indicates "Not important at all" and 7 indicates "Very important".
7. Within the industry, how important is an attractive smile for the perception of a job applicant during an interview with the hiring manager in the roles specified (Nurse, Programmer/IT Technician, Data Analyst/Statistician, Sales Representative, Business Management, Customer Service (face to face role), Telemarketing Role). Give your answer on a scale from 1 to 7 where 1 indicates "Not important at all" and 7 indicates "Very important".
8. Please review the images below of two candidates with otherwise equal qualifications. How likely are you to recommend Candidate A over Candidate B for a follow-up interview in the roles (Nurse, Programmer/IT Technician, Data Analyst/Statistician, Sales Representative, Business Management, Customer Service (face to face role), Telemarketing Role). Give your answer on a scale from 1 to 7 where 1 indicates "Not important at all" and 7 indicates "Very important".
Respondents for the worldwide results were based in Argentina, Australia, Brazil, Canada, Iceland, Ireland, Mexico, New Zealand, Spain, the United Kingdom, and the United States. Respondents for regional results were exclusively from the region stated.
Sources of findings:
1. “UK jobless claims jumped 70% in April as the coronavirus hit employment“, CNBC, in: https://www.cnbc.com/2020/05/19/uk-jobless-claims-rise-by-70percent-in-april-to-2point1-million.html
2. “UK jobless claims soaer by nearly 70% in April“, The Guardian, in: https://www.theguardian.com/business/2020/may/19/uk-jobless-april-coronavirus-crisis-unemployment-benefits
3. “Smiling is frequently observed in social interactions between humans may be used as a signal of the intention to cooperate and build trust.“ Scharlemann, J., Eckel, C., Kacelnik, A. , Wilson, R. (2001) The value of a smile: Game theory with a human face. Journal of Economic Psychology 22
4. “Subjects of low Socioeconomic Status (SES) exhibited greater normative and perceived treatment needs than subjects of higher SES. They were less satisfied with their dental appearance and visited a dentist less frequently.” Badran, S., Sabrah, A., Hadidi, S., Al-Khateeb, S. (2014) Effect of socioeconomic status on normative and perceived orthodontic treatment need. Angle Orthodontist, Vol 84, No 4
5. “Children were less likely to have orthodontic treatment when parents were service or sales workers compared with children whose parents were managers or professionals, when family income was in the lowest, compared with highest quartile, when children had no supplementary insurance compared with children covered by private insurance, or when they lived in rural compared with urban areas.” Germa, A., Kaminski, M., Nabet, C. (2010) Impact of social and economic characteristics on orthodontic treatment among children and teenagers in France. Recherche épidémiologique en santé périnatale et santé des femmes et des enfants INSERM : U953, Université Pierre et Marie Curie.
6. “The effect of education on income inequalities varied by oral
health outcome, but income consistently explained over one third of the education effect on inequalities for the oral health outcomes used in thi study. This suggests that future social and economic policy aimed at improving financial and material resources for individuals would better reduce socio-economic inequalities in oral health than those solely targeted toward changing oral health behaviour or knowledge acquisition of healthy behaviour.” Farmer, J., Phillips, R., Singhal, S., Quiñonez, (2017) Inequalities in oral health: Understanding the contributions of education and income. Can J Public Health 2017;108(3):e240–e245 doi: 10.17269/CJPH.108.5929
Press and media enquiries
Are you a journalist looking for current information about PlusDent or about our study? For press releases, person of contact, image and video content or interviews, please contact us as: presse@plusdental.de. We will get back to you as soon as we can.