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Questionnaire survey is among the main research instruments for data collection, where participants are required to respond by selecting from existing options or writing out answers. With the availability of easy-to-use online survey platforms that enhancing research efficiency in terms of time, cost, and access to participants, scholars have brought to bear a large number of questionnaire survey-based approaches to researching English Medium Instruction (EMI), putting stakeholders’ perspectives under the microscope. This chapter discusses how to plan and conduct a questionnaire survey study in EMI. Starting with the definition of questionnaire survey, this chapter centers on some key issues related to its use in EMI research, such as the selection of a sample frame, as well as design and distribution of questionnaire design. These issues are then exemplified in the subsequent case study of the acceptability and usefulness of collaborative writing activities in promoting university students’ online engagement.
Using existing data from clinical registries to support clinical trials and other prospective studies has the potential to improve research efficiency. However, little has been reported about staff experiences and lessons learned from implementation of this method in pediatric cardiology.
Objectives:
We describe the process of using existing registry data in the Pediatric Heart Network Residual Lesion Score Study, report stakeholders’ perspectives, and provide recommendations to guide future studies using this methodology.
Methods:
The Residual Lesion Score Study, a 17-site prospective, observational study, piloted the use of existing local surgical registry data (collected for submission to the Society of Thoracic Surgeons-Congenital Heart Surgery Database) to supplement manual data collection. A survey regarding processes and perceptions was administered to study site and data coordinating center staff.
Results:
Survey response rate was 98% (54/55). Overall, 57% perceived that using registry data saved research staff time in the current study, and 74% perceived that it would save time in future studies; 55% noted significant upfront time in developing a methodology for extracting registry data. Survey recommendations included simplifying data extraction processes and tailoring to the needs of the study, understanding registry characteristics to maximise data quality and security, and involving all stakeholders in design and implementation processes.
Conclusions:
Use of existing registry data was perceived to save time and promote efficiency. Consideration must be given to the upfront investment of time and resources needed. Ongoing efforts focussed on automating and centralising data management may aid in further optimising this methodology for future studies.
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