Abstract
Surveys are commonly used in healthcare simulation research and evaluation. Many surveys have been created to fit specific simulation requirements or areas of interest. However, it is important to ensure that surveys have appropriate rigour for reliable representation and meaningful interpretation of data. This chapter covers concepts important to basic survey design for qualitative research in healthcare simulation education. However, surveys can be used simultaneously to also source quantitative data. The benefits and limitations of using surveys, as well as practical and ethical considerations in the collection and use of textual data are discussed. This chapter also presents the options of exploring alternate textual data sources, such as educational materials, course guides, reflective assessments, as well as data from online/social media platforms. More comprehensive guides on how to develop, administer and analyse survey and other textual data can be sourced from the resources and references included in this and other related chapters of the text.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Artino AR, La Rochelle JS, Dezee KJ, Gehlbach H. Developing questionnaires for educational research: AMEE guide no. 87. Med Teach. 2014;36(6):463–74. PubMed PMID: 24661014. Pubmed Central PMCID: 4059192.
Wu M, Tam HP, Construct JT. Framework and test development—from IRT perspectives. In: Wu M, Tam HP, Jen T, editors. Educational measurement for applied researchers: theory into practice. Singapore: Springer; 2016. p. 19–39.
Gehlbach H, Artino AR, Last Page DSJAM. Survey development guidance for medical education researchers. Acad Med. 2010;85(5):925. PubMed PMID: 00001888-201005000-00043.
Tai J, Ajjawi R. Undertaking and reporting qualitative research. Clin Teach. 2016;13:175–82.
Nulty DD. The adequacy of response rates to online and paper surveys: what can be done? Assess Eval High Educ. 2008 . 2008/06/01;33(3):301–14.
LaDonna KA, Taylor T, Lingard L. Why open-ended survey questions are unlikely to support rigorous qualitative insights. Acad Med. 2017;93:347–9. PubMed PMID: 29215376.
Cook DA, Zendejas B, Hamstra SJ, Hatala R, Brydges R. What counts as validity evidence? Examples and prevalence in a systematic review of simulation-based assessment. Adv Health Sci Educ Theory Pract. 2013;19:1–18.
Adamson K, Gubrud P, Sideras S, Lasater K. Assessing the reliability, validity, and use of the Lasater clinical judgment rubric: three approaches. J Nurs Educ. 2012;51(2):66.
Artino AR, Gehlbach H, Durning SJAM. Last page: avoiding five common pitfalls of survey design. Acad Med. 2011;86(10):1327. PubMed PMID: 00001888-201110000-00038.
LaDonna KA, Taylor T, Lingard L. Why open-ended survey questions are unlikely to support rigorous qualitative insights. Acad Med. 2018;93(3):347–9. PubMed PMID: 00001888-201803000-00013.
Sousa VD, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline. J Eval Clin Pract. 2011;17(2):268–74.
Kelly MA, Ashokka B, Krishnasamy N. Cultural considerations in simulation-based education. Asia Pac Schol. 2018;3:1–4. https://doi.org/10.29060/TAPS.2018-3-3/GP1070.
Artino AR, Gehlbach HAM. Last page: avoiding four visual-design pitfalls in survey development. Acad Med. 2012;87(10):1452. PubMed PMID: 00001888-201210000-00035.
Kelly MA, Fry M. Masters nursing students’ perceptions of an innovative simulation education experience. Clin Simul Nurs. 2013;9(4):e127–e33.
Maloney S, Tai J, Lo K, Molloy E, Ilic D. Honesty in critically reflective essays: an analysis of student practice. Adv Health Sci Educ. 2013;18(4):617–26.
Zimmer M, Proferes NJ. A topology of Twitter research: disciplines, methods, and ethics. Aslib J Inf Manag. 2014;66(3):250–61.
Aydin S. A review of research on Facebook as an educational environment. Educ Tech Res Dev. 2012;60:1093–106.
Hagger-Johnson G. Introduction to research methods and data analysis in the health sciences. Hoboken: Taylor and Francis; 2014.
Cheng A, Kessler D, Mackinnon R, et al. Reporting guidelines for health care simulation research: extensions to the CONSORT and STROBE statements. BMJ Simul Technol Enhanc Learn. 2016;2:51–60.
Additional Resources
How to pre-test and pilot a survey questionnaire. Tools4Dev. Practical tools for international development. http://www.tools4dev.org/resources/how-to-pretest-and-pilot-a-survey-questionnaire/.
Survey methodology. Statistics Canada http://www5.statcan.gc.ca/olc-cel/olc.action?objId=12-001-&ObjType=2&lang=en&limit=0, https://select-statistics.co.uk/calculators/sample-size-calculator-population-proportion/.
Survey techniques: relative advantages and disadvantages http://www.cdc.gov/hepatitis/partners/Perinatal/PDFs/Guide%20to%20Life%20Appendix%20C.pdf.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kelly, M.A., Tai, J. (2019). Survey and Other Textual Data. In: Nestel, D., Hui, J., Kunkler, K., Scerbo, M., Calhoun, A. (eds) Healthcare Simulation Research. Springer, Cham. https://doi.org/10.1007/978-3-030-26837-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-26837-4_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-26836-7
Online ISBN: 978-3-030-26837-4
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)