J Educ Eval Health Prof.  2015;12:12. 10.3352/jeehp.2015.12.12.

Visualizing the qualitative: making sense of written comments from an evaluative satisfaction survey

• Bletzer KV

• KMID: 2402019
• DOI: http://doi.org/10.3352/jeehp.2015.12.12

Abstract

PURPOSE
Satisfaction surveys are common in the field of health education, as a means of assisting organizations to improve the appropriateness of training materials and the effectiveness of facilitation-presentation. Data can be qualitative of which analysis often become specialized. It aims to disclose if the qualitative survey results can be presented as Word Cloud.
METHODS
Qualitative materials in the form of written comments on an agency-specific satisfaction survey were coded and quantified. The resulting quantitative data were used to convert comments into "input terms" to generate Word Clouds to increase comprehension and accessibility through visualization of the written responses.
RESULTS
A three-tier display incorporated a Word Cloud at the top, followed by the corresponding frequency table, and a textual summary of the qualitative data represented by the Word Cloud imagery. This mixed format adheres to recognition that people vary in what format is most effective for assimilating new information.
CONCLUSION
The combination of visual representation through Word Clouds complemented by quantified qualitative materials is one means of increasing comprehensibility for a range of stakeholders, who might not be familiar with numerical tables or statistical analyses.

Keyword

Capacity building assistance; Qualitative analysis; Satisfaction survey; Word Clouds

MeSH Terms

Complement System Proteins
Comprehension
Health Education
Complement System Proteins

Reference

1. Evenson ME. Preparing for fieldwork: students’ perceptions of their readiness to provide evidence-based practice. Work. 2013; 44:297–306. http://dx.doi.org/10.3233/WOR-121506.

2. Kirdar Y. The role of public relations for image creating in health services: a sample patient satisfaction survey. Health Mark Q. 2007; 24:3–4. http://dx.doi.org/10.1080/07359680802119017.

3. Bjørknes R, Manger T. Can parent training alter parent practice and reduce conduct problems in ethnic minority children? A randomized controlled trial. Prev Sci. 2013; 14:52–63. http://dx.doi.org/10.1007/s11121-012-0299-9.

4. Sigaloff KCE, Lange JMA, Montaner J. Global response to HIV: treatment as prevention, or treatment for treatment? Clin Infect Dis. 2014; 59:S7–S11. http://dx.doi.org/10.1093/cid/ciu267.

5. Hruschka DJ, Cummings B, St John DC, Moore J, Khumalo-Sakutukwa G, Carey JW. Fixed-choice and open-ended response formats: a comparison from HIV prevention research in Zimbabwe. Field Methods. 2004; 16:184–202. http://dx.doi.org/10.1177/1525822X03262663.

6. Baddeley A. Working memory: an overview. In : Pickering SJ, editor. Working memory and education. Amsterdam, Netherlands: Elsevier;2006. p. 1–31.

7. Bauermeister JA, Pingel E, Zimmerman M, Couper M, Carballo-Diéguez A, Strecher VJ. Data quality in web-based HIV/AIDS research: handling invalid and suspicious. Field Methods. 2012; 24:272–291. http://dx.doi.org/10.1177/1525822X12443097.

8. Ahearn LM. Detecting research patterns and paratextual features in AE word clouds, keywords, and titles. Am Ethnol. 2014; 41:17–30. http://dx.doi.org/10.1111/amet.12056.

9. She HC, Chen YZ. The impact of multi-media effect on science learning: evidence from eye movements. Comp Educ. 2009; 53:1297–1307. http://dx.doi.org/10.1016/j.compedu.2009.06.012.

10. Ozcelik E, Arslan-Ari I, Cagiltay K. Why does signaling enhance multimedia learning? Evidence from eye movements? Comp Hum Behav. 2010; 26:110–117. http://dx.doi.org/10.1016/j.chb.2009.09.001.

11. Nakassis CV. Brand, citationality, performativity. Am Anthrop. 2012; 114:624–638. http://dx.doi.org/10.1111/j.1548-1433.2012.01511.x.