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Electronic Survey Methodology for Data Collection and Analysis in Nutrition and Dietetics Research
Judith A Beto1, Phillip Gleason2, Jeffrey E Harris3
1Professor Emeritus, Nutrition Sciences, Dominican University, Research Consultant, 10104 NE 62nd Street, Kirkland WA 98033.
Background:
This article is part of a series of articles in the Journal of the Academy of Nutrition and Dietetics exploring the importance of research design, epidemiological methods, and statistical analysis as applied to nutrition and dietetics research. The purpose of this ongoing statistical portfolio is to assist Registered Dietitian Nutritionists (RDN) and Nutrition and Dietetic Technicians, Registered (NDTR) in interpreting nutrition research and applying scientific principles to produce high-quality data analysis. Advances in technology are promoting faster, easier, and often more diverse data collection and analysis. Consumers and practitioners alike are rapidly adopting electronic communication preferences (ie, telehealth, mobile applications, social media). This article, which accompanies the companion article on basic survey research, is an overview of electronic internet-mediated survey methodology for data collection and analysis in nutrition and dietetics research. Its purpose is to highlight the unique requirements in electronic planning and administration for surveys that builds on basic survey principles. This includes the effect of internet-mediated data methodology on an array of research parameters, including evaluation of software functions for the investigator and survey navigation issues for the participant. A Checklist for Reporting Electronic Survey Statistics (CRESS) is provided as a guide for data dissemination in nutrition and dietetics research.
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