Using Web-Based Surveys to Explore Equine Industry Practices and Future Research Needs

Aubrey L. Jaqueth, Marcia Hathaway, Devan N. Catalano, Natalie C. Linders, Rachel Mottet, Krishona L. Martinson

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Social media are an ever-present part of daily life and for researchers and may be a useful platform to increase potential participant pools for Web-based surveys. Although survey usage to evaluate practices in the equine community is not new, the use of social media to advertise and enhance the usage of Web-based surveys is novel. In 2018, the University of Minnesota (UMN) equine Extension program developed and administered two Web-based surveys through the UMN equine Extension Facebook page and monthly e-newsletter. Surveys focused on industry practices and motivating factors behind the usage of hay nets and methods to provide water in the winter to horses. Two thousand eighty-eight participants started the hay net survey with a completion rate of 96%, whereas the winter water survey had a completion rate of 94%, with 930 participants starting the survey. Participant demographics aligned with previous survey populations and represented all regions of the United States. Both surveys revealed information, which described current industry practices as well as future research needs. In addition, participants were asked if scientific research would impact future decision-making in regards to equine management. When exploring hay net practices, most participants responded “maybe” (48%, n = 527), whereas for the winter water survey, the majority responded “yes” (68%, n = 877). Web-based surveys administered through social media present multiple benefits, including savings of both cost and labor, compared with traditional mailed surveys. Despite the success observed with the present surveys, this methodology may not be suitable for organizations with limited social media followers.

Original languageEnglish (US)
Article number102822
JournalJournal of Equine Veterinary Science
Volume83
DOIs
StatePublished - Dec 2019

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Keywords

  • Hay net
  • Needs-assessment
  • Social media
  • Survey
  • Water

PubMed: MeSH publication types

  • Journal Article

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