Bletzer Keith V
National Community Health Partners, Tucson, AZ; School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.
J Educ Eval Health Prof. 2015 Apr 16;12:12. doi: 10.3352/jeehp.2015.12.12. eCollection 2015.
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. This technical article aims to reveal whether qualitative survey results can be visualized by presenting them as a Word Cloud.
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.
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.
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.
满意度调查在健康教育领域很常见，作为一种帮助组织提高培训材料适用性和促进演讲效果的手段。数据可能是定性的，其分析往往变得专业化。本文旨在揭示定性调查结果是否可以通过以词云的形式呈现来进行可视化。
对特定机构满意度调查的书面评论形式的定性材料进行编码和量化。所得的定量数据用于将评论转换为“输入词项”，以生成词云，通过对书面回复的可视化来提高理解度和可及性。
一个三层展示包括顶部的词云，随后是相应的频率表，以及由词云图像表示的定性数据的文本摘要。这种混合格式基于这样一种认识，即人们对于哪种格式最有效地吸收新信息存在差异。
通过词云进行视觉呈现，并辅以量化的定性材料，是提高一系列利益相关者理解度的一种方式，这些利益相关者可能不熟悉数字表格或统计分析。
