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Survey Design 101: Crafting Effective Response Scales

ISPI Bay Area/Boise State Chapter

You, as a performance improvement professional, would likely use self-administered survey questionnaires to collect data and make evidence-based decisions. How do you put together your survey questionnaires? What type of response scales are available for you? Which response scales should you use and why? Are they designed to provide you with the type of data you intended to use? Our presentation will help you develop survey questionnaires with evidence-based survey design principles. Specific topics include:

  •          The basic survey anatomy
  •          Different types of response scales
  •          Different survey designs for different purposes
  •          Problems with ceiling effects (research-based recommendations)
  •          Use of positively-packed response scales (research-based recommendations)
  • Douglas Hutchinson

    Douglas Hutchinson

    Douglas Hutchinson is a graduate assistant for the Department of Organizational Performance and Workplace Learning in the College of Engineering at Boise State University. He joined Dr. Chyung’s Workplace Oriented Research Central (WORC) team in August of 2019.  He is currently studying to earn a Master of Science degree in Organizational Performance and Workplace Learning, which he expects to complete in May of 2021.

    Douglas Hutchinson is a graduate assistant for the Department of Organizational Performance and Workplace Learning in the College of Engineering at Boise State University. He joined Dr. Chyung’s Workplace Oriented Research Central (WORC) team in August of 2019.  He is currently studying to earn a Master of Science degree in Organizational Performance and Workplace Learning, which he expects to complete in May of 2021.

  • Jennifer A Shamsy

    Jennifer A. Shamsy

    Jennifer A. Shamsy, M.S., is a commercial airline pilot and adjunct online instructor. She graduated in Spring 2017 with a Master of Science degree in Organizational Performance and Workplace Learning and Workplace Instructional Design Graduate Certificate from Boise State University. She is currently an adjunct faculty member for the Organizational Performance and Workplace Learning department at Boise State University, teaching a course on Survey Design and Data Analysis.

    Jennifer A. Shamsy, M.S., is a commercial airline pilot and adjunct online instructor. She graduated in Spring 2017 with a Master of Science degree in Organizational Performance and Workplace Learning and Workplace Instructional Design Graduate Certificate from Boise State University. She is currently an adjunct faculty member for the Organizational Performance and Workplace Learning department at Boise State University, teaching a course on Survey Design and Data Analysis.

  • Yonnie Chyung

    Seung Youn (Yonnie) Chyung

    Seung Youn (Yonnie) Chyung, Ed.D., is a professor and associate chair of the Department of Organizational Performance and Workplace Learning in the College of Engineering at Boise State University. She teaches graduate courses on Program Evaluation, Survey Design and Data Analysis, and Quantitative Research in Organizations. She runs a Workplace-Oriented Research Central (WORC) lab where teams of practitioners and researchers conduct research on various topics in the workplace learning and performance improvement context. She often provides pro bono consulting to organizations to help them develop quality survey instruments and facilitate data-driven practices.

    Seung Youn (Yonnie) Chyung, Ed.D., is a professor and associate chair of the Department of Organizational Performance and Workplace Learning in the College of Engineering at Boise State University. She teaches graduate courses on Program Evaluation, Survey Design and Data Analysis, and Quantitative Research in Organizations. She runs a Workplace-Oriented Research Central (WORC) lab where teams of practitioners and researchers conduct research on various topics in the workplace learning and performance improvement context. She often provides pro bono consulting to organizations to help them develop quality survey instruments and facilitate data-driven practices.