Skip to main content

Advertisement

Log in

Kids’ Life and Times: using an Internet survey to measure children’s health-related quality of life

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Objective

To examine the psychometric properties of an Internet version of a children and young person’s quality of life measure originally designed as a paper questionnaire.

Methods

Participants were 3,440 children aged 10 and 11 years in Northern Ireland who completed the KIDSCREEN-27 online as part of a general attitudinal survey. The questionnaire was animated using cartoon characters that are familiar to most children and the questions appeared on screen and were read aloud by actors.

Results

Exploratory principal component analysis of the online version of the questionnaire supported the existence of five components in line with the paper version. The items loaded on the components that would be expected based on previous findings with five domains—physical well-being, psychological well-being, autonomy and parents, social support and peers, and school environment. Internal consistency reliability of the five domains was measured using Cronbach’s alpha, and the results suggested that the scale scores were reliable. The domain scores were similar to those reported in the literature for the paper version.

Conclusions

These results suggest that the factor structure and internal consistency reliability scores of the KIDSCREEN-27 embedded within an online survey are comparable to those reported in the literature for the paper version.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The 13 European countries are Austria, France, Germany, Netherlands, Spain, Switzerland, United Kingdom, Czech Republic, Greece, Hungary, Ireland, Poland, and Sweden [5].

Abbreviations

HRQoL:

Health-related quality of life

KLT:

Kids’ Life and Times

P7:

Primary 7

CHQ-CF:

Child Health Questionnaire Child Form

PCA:

Principal components analysis

KMO:

Kaiser–Meyer–Oklin

References

  1. Dobbels, F., Decorte, A., Roskams, A., & Van Damme-Lombaerts, R. (2009). Health-related quality of life, treatment adherence, symptom experience and depression in adolescent renal transplant patients. Pediatric Transplantation. http://www.ncbi.nlm.nih.gov/pubmed/19497017. Accessed 31 March 2010.

  2. Alisic, E., van der Schoot, T. A., van Ginkel, J. R., & Kleber, R. J. (2008). Looking beyond posttraumatic stress disorder in children: Posttraumatic stress reactions, posttraumatic growth, and quality of life in a general population sample. Journal of Clinical Psychiatry, 69(9), 1455–1461.

    Article  PubMed  Google Scholar 

  3. Ravens-Sieberer, U., Auquier, P., Erhart, M., Gosch, A., Rajmil, L., et al. (2007). The KIDSCREEN-27 quality of life measure for children and adolescents: Psychometric results from a cross-cultural survey in 13 European countries. Quality of Life Research, 16(8), 1347–1356.

    Article  PubMed  Google Scholar 

  4. Robitail, S., Ravens-Sieberer, U., Simeoni, M., Rajmil, L., Bruil, J., Power, M., et al. (2007). Testing the structural and cross-cultural validity of the KIDSCREEN-27 quality of life questionnaire. Quality of Life Research, 16(8), 1335–1345.

    Article  PubMed  Google Scholar 

  5. The KIDSCREEN Group Europe. (2006). The KIDSCREEN Questionnaires: Quality of life questionnaires for children and adolescents handbook. Lengerich: Pabst Science Publishers.

    Google Scholar 

  6. Van Hattum, M. J. C., & De Leeuw, E. D. (1999). A disk-by-mail survey of pupils in primary schools: Data quality and logistics. Journal of Official Statistics, 15, 413–429.

    Google Scholar 

  7. De Vaus, D. (2002). Surveys in social research (5th ed.). London: Routledge.

    Google Scholar 

  8. Wright, K. B. (2005) Researching internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services Journal of Computer-Mediated Communication, 10(3), Article 11. http://jcmc.indiana.edu/vol10/issue3/wright.html. Accessed 31 March 2010.

  9. Wang, H., & Doong, H. (2007) Validation in internet survey research: Reviews and future suggestions. In Proceedings of the 40th Hawaii international conference on system sciences. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.6984. Accessed 31 March 2010.

  10. Ahern, N. R. (2005). Using the internet to conduct research. Nurse Researcher, 13(2), 55–70.

    PubMed  Google Scholar 

  11. Dever, J. A., Rafferty, A., & Valliant, R. (2008). Internet surveys: Can statistical adjustments eliminate coverage bias? Survey Research Methods, 2(2), 47–62.

    Google Scholar 

  12. Hartford, K., Carey, R., & Mendonca, J. (2007). Sampling bias in an international internet survey of diversion programs in the criminal justice system. Evaluation and the Health Professions, 30(1), 35–46.

    Article  Google Scholar 

  13. Miller, J., Daly, J., Wood, M., Brooks, A., & Roper, M. (1996). Electronic bulletin board distributed questionnaires for exploratory research. Journal of Information Science, 22(2), 107–115.

    Article  Google Scholar 

  14. Meehan, M. L., & Burns, R. C. (1997). E-mail survey of a listserv discussion group: Lessons learned from surveying an electronic network of learners. In M. M. Hayslett and B. M. Wildemuth (2004). Pixels or pencils? The relative effectiveness of web-based versus paper surveys. Library & Information Science Research, 26, 73–93.

    Google Scholar 

  15. Cook, C., Heath, F., & Thompson, R. L. (2000). A Meta-analysis of response rates in web- or internet-based surveys. Educational and Psychological Measurement, 60, 821–826.

    Article  Google Scholar 

  16. Babbie, E. (1998). The practice of social research. Belmont, CA: Wadsworth Publishing.

    Google Scholar 

  17. Hayslett, M. M., & Wildemuth, B. M. (2004). Pixels or pencils? The relative effectiveness of Web-based versus paper surveys. Library & Information Science Research, 26, 73–93.

    Article  Google Scholar 

  18. Kiesler, S., & Sproull, L. (1986). Response effects in the electronic survey. Public Opinion Quarterly, 50, 402–413.

    Article  Google Scholar 

  19. Bjarnason, T. (1995). Administration mode bias in a school survey on alcohol, tobacco and illicit drug use. Addiction, 90, 555–559.

    Article  CAS  PubMed  Google Scholar 

  20. Kaplowitz, M. D., Hadlock, T. D., & Levine, R. (2004). A comparison of web and mail survey response rates. Public Opinion Quarterly, 68(1), 94–101.

    Article  Google Scholar 

  21. Millar, M., O’Neill, A., & Dillman, D. (2009). Are mode preferences real? Washington State University: SESRC. http://www.sesrc.wsu.edu/dillman/papers/Tech%20Report%20FINAL%20Feb%2023.pdf. Accessed 30 March 2010.

  22. Ryan, J. M., Corry, J. R., Attewell, R., & Smithson, M. J. (2002). A comparison of an electronic version of the SF-36 General Health Questionnaire to the standard paper version. Quality of Life Research, 11(1), 19–26.

    Article  PubMed  Google Scholar 

  23. Raat, H., Mangunkusumo, R. T., Landgraf, J. M., Kloek, G., & Brug, J. (2007). Feasibility, reliability, and validity of adolescent health status measurement by the Child Health Questionnaire Child Form (CHQ-CF): Internet administration compared with the standard paper version. Quality of Life Research, 16, 675–685.

    Article  PubMed  Google Scholar 

  24. Lloyd, K., & Devine, P. (2010). Using the internet to give children a voice: An online survey of 10 and 11 year old children in Northern Ireland. Field Methods, 22(3), 270–289.

    Article  Google Scholar 

  25. Pallant, J. (2005). SPSS survival manual. Maidenhead: Open University Press.

    Google Scholar 

  26. Bartlett, M. S. (1954). A note on multiplying factors for various chi-squared approximations. Journal of the Royal Statistical Society: Series B, 16, 296–298.

    Google Scholar 

  27. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245–276.

    Article  Google Scholar 

  28. Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36.

    Article  Google Scholar 

  29. Cohen, J. (1969). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katrina Lloyd.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lloyd, K. Kids’ Life and Times: using an Internet survey to measure children’s health-related quality of life. Qual Life Res 20, 37–44 (2011). https://doi.org/10.1007/s11136-010-9728-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-010-9728-z

Keywords

Navigation