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SUMMARY:Identifying and Preventing Careless Survey Responses - Dr. Adam Me
 ade\, North Carolina State University
DTSTART:20120322T140000Z
DTEND:20120322T150000Z
UID:TALK36550@talks.cam.ac.uk
CONTACT:Luning Sun
DESCRIPTION:When data are collected via anonymous Internet surveys\, parti
 cularly under conditions of obligatory participation (such as with student
  samples)\, data quality can be a concern. However\, little guidance exist
 s in the published literature regarding techniques for detecting careless 
 responses. I will describe two studies in which several methods for identi
 fying careless responses were examined\, including (a) special items desig
 ned to detect careless response\, (b) response consistency indices formed 
 from responses to typical survey items\, (c) multivariate outlier analysis
 \, (d) response time\, and (e) self-reported diligence. Results indicated 
 that there are two distinct patterns of careless response (random and non-
 random) and that different indices are needed to identify these different 
 response patterns. We also found that approximately 10-12% of undergraduat
 es completing a lengthy survey for course credit were identified as carele
 ss responders. In Study 2\, we simulated data with known random response p
 atterns in order to determine the efficacy of several indicators of carele
 ss response. We found that that the nature of the data strongly influenced
  the efficacy of the indices to identify careless responses. Recommendatio
 ns will be discussed\, including using identified rather than anonymous re
 sponses\, incorporating instructed response items before data collection\,
  as well as computing consistency indices and multivariate outlier analysi
 s to ensure high quality data.
LOCATION:Seminar Room\, The Mond Building\, New Museums Site
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