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Assessing the Impact of the Experimental Manipulation

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Requires both good construct validity and careful control of IV. Check on manipulation is extremely ... Least squares fit. Apply group or cell mean. Summary ... – PowerPoint PPT presentation

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Title: Assessing the Impact of the Experimental Manipulation


1
Assessing the Impact of the Experimental
Manipulation
  • Thomas G. Bowers, Ph.D.
  • 2003

2
Assessment of the Independent Variable
  • Requires both good construct validity and careful
    control of IV
  • Check on manipulation is extremely important in
    clinical and educational research

3
What Are the Types of Manipulations?
  • Variations
  • 1. Types of information varied
  • 2. Variations in subject experience
  • 3. Treatment or intervention variation

4
Variations in Intervention Conditions
  • Subjects are often exposed to different
    treatment, prevention, counseling, or similar
    effort
  • The check here is to insure the manipulation was
    carried out successfully, as intended

5
Variations in Intervention Conditions
  • Refers to treatment fidelity or treatment
    integrity
  • Often not assessed
  • Some research suggests there may be considerable
    problems here
  • Use of manuals in therapy is now common

6
Variations in Intervention Conditions
  • Manual Guides
  • Outlines procedures, specific tasks,
    therapist/client characteristics
  • Therapists can be specifically trained
  • Role-playing, video-taping, specific methods

7
Variations in Intervention Conditions
  • Provide continued supervision
  • Monitor performance
  • Measure the implementation of treatment

8
Variations in Intervention Conditions
  • Issues in excluding subjects
  • Only include subjects with positive manipulation
    checks?
  • Both positive and negative aspects
  • Subjects are likely to vary significantly
  • It may be useful to know how often the
    manipulation does not work
  • An unplanned pos-hoc test may be valuable

9
Variations in Intervention Conditions
  • Issues in excluding subjects
  • Drop outliners or extreme scores?
  • I generally argue against this, unless some
    specific compelling case can be made
  • Missing data for subjects
  • Drop case
  • May systematically bias sample
  • Missing subjects may have poorer outcome
  • Least squares fit
  • Apply group or cell mean

10
Summary
  • Manipulation checks on the independent variable
    is very important in most clinical research
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