Tuesday, April 24, 2018

Notes from CROW 4/19



  CROW 4/19/18 Notes

    Start Up:  Davis FD. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly. 1989; 13(3):319-40

·         Seminal paper in technology acceptance model (TAM)
  o     Purpose: Create a valid measurement for acceptance of computers
  o   Perceived usefulness/ease of use associated with anticipated usage?   
   ·         Cited over 38,000 times.
   ·         Definitions
   ·         Usefulness
  o   Does the technology benefit your work?
   ·         Ease of use 
  o   “…free of effort”
·          Validity
  o   Does the instrument reflect the construct
§  In this case the constructs are usefulness & ease of use
   ·          Discussion/review on precision, accuracy, validity: visualized on the white board
  o   Measures can be
§  Not precise or accurate (valid)
§  Precise but not accurate (or valid)
§  Valid but suffering from lack of precision (still accurate)
·         Perhaps increase sample size or improve measurement
§  Valid with good precision and accuracy
   ·         Discussion on types of validity with the group
  o   Face validity
§  The degree to which a procedure appears effective in …
·         Astrology: Not so much.
  o   Construct validity
§  Does the instrument what we want it to measure?
·         Does BMI measure obesity? Decently.
  o   Convergent validity
§  Measuring same thing with different devices/tools and you get the same/more precise answer
·         Measure height with yardstick, then laser then … All going to converge to my height
·         If they don’t converge then at least one device/tool is wrong
  o   Divergent validity
§  Tests that the measurements that are not supposed to be related are actually unrelated.
  o   Factorial validity
§  Factor analysis on all items/questions
·         A question asked 5 different ways will all be grouped by factor analysis
·         A way to shorten survey
o   Gain: time, less annoying, increase response/decrease missingness
o   Lose: precision within subject (power in study)
  o          Criterion validity
§  Gold standard, benchmark
§  But what if there is no criterion validity? What if there is no prior measurement of usefulness and ease of use of technology?
·         You create it! Become the gold standard
·         The meter
·         Temperature
·         PIP example-> how well do primary care offices get behavioral health delivered?
·         Kairn auditory -> auditory processing disorder.
o   No agreed upon definition -> no construct or criterion validity.

                Next Workshop Meeting(s): Thursdays @ 11AM at Given Courtyard South Level 4.
                April 26: Kairn Kelley
     May 3: Hendrika Maltby, Qualitative methods 

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