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Abstract

Analyzing open-ended survey text responses holds the capacity to yield greater insight about participants’ perceptions of clinical translational science institute (CTSI) initiatives. Few translational research studies have explored their effectiveness. The aim of this mixed methods analysis was to assess participant perspectives of the impact and effectiveness of our CTSI program and services. We selected two open-ended survey question items (how CTSI benefitted research, and the most important impact of the research facilitated by the CTSI) from a larger set and compared responses by participant affiliations (clinical/non-clinical; lab/non-lab). We used a three-step analysis. First, nodes were generated using NVivo word frequency function. Next, with the aid of Python, we used sentiment analysis to classify each node (as positive, negative, or neutral) to indicate participant ratings toward their experiences with the CTSI and computed the average differences between groups. Third, we selected nodes that met pre-established criteria and report the qualitative distinctions. We recommend using precisely worded open-ended questions in future annual surveys or administering a survey using only opened-ended questions every six months.

Keywords

Open-ended Responses, CTSI, Participant Attitudes, Evaluation

Author Bio(s)

Linda S. Behar-Horenstein, Ph.D. is Distinguished Teaching Scholar and Professor and Director, CTSI Educational Development & Evaluation at the University of Florida. Correspondence regarding this article can be addressed directly to: lsbhoren@ufl.edu.

Huibin Zhang is a doctoral student in School Psychology at the College of Education at the University of Florida.

Acknowledgements

Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under University of Florida Clinical and Translational Science Award UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Publication Date

2-9-2019

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

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