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Interpreting Research and Functional Relations

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... change in independent variable (intervention) produces ... Types of Independent Variables. Direct Instruction. Self-reinforcement. Time out. Token economy ... – PowerPoint PPT presentation

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Title: Interpreting Research and Functional Relations


1
Interpreting Research andFunctional Relations
  • EDEX 5150
  • Session 4

2
Agenda
  • Discuss functional relations and concept of
    experimental control.
  • Discuss threats to validity.
  • Discuss purpose of baselines.

3
Functional Relations
  • The purpose of single subject research is to
    suggest functional relations.
  • Manipulation or change in independent variable
    (intervention) produces consistent change in
    dependent variable (measure of target behavior).
  • Manipulation typically involves addition or
    subtraction of whole or part of independent
    variable.

4
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5
Types of Dependent Variables
  • Number of correct responses
  • Percentage of correct responses
  • Duration of head-banging
  • Number of words read per minute

6
Types of Independent Variables
  • Direct Instruction
  • Self-reinforcement
  • Time out
  • Token economy
  • Verbal praise

7
Experimental Control
  • A functional relationship is demonstrated when
    alternative explanations of the reported behavior
    change can be ruled out--minimize alternative
    explanations (extraneous variables) of behavior
    change.
  • Other events or variables that may be responsible
    in whole or part for the behavior change need to
    be identified and manipulated (extrinsic
    variability).
  • These extraneous variables need to be held
    constant.

8
  • Experimental control--demonstrating a functional
    relation by minimizing alternative explanations
    (extraneous variables) of behavior change.

9
Extraneous Variables
  • Change in students health physical,
    psychological, or emotional development or
    social status.
  • Parent/sibling intervention.
  • Change in school schedule, setting, personnel,
    grading system, support available.

10
Types of Validity
  • Statistical (significance)
  • Content
  • Predictive
  • Concurrent
  • Construct
  • Internal
  • External
  • Participants
  • Settings
  • Responses
  • Social

11
Threats to Validity
  • History effects (what happens outside of research
    setting)
  • Maturation effects (physical, emotional,
    psychological development)
  • Testing effects (reactivity)
  • Instrumentation effects (errors in observation)
  • Regression to the mean (no outlier behaviors)

12
  • Participant selection bias
  • Attrition
  • Multiple treatment interference
  • Instability (cyclic variation)

13
Questions Regarding Validity
  • Internal validity--Is the intervention and only
    the intervention responsible for the change in
    behavior?
  • External validity--(1) Given that the
    intervention produced a change with this
    participant(s), will it similarly produce a
    change for other participants, in other settings,
    or with other responses and (2) is it possible
    to make statements about generality?

14
Social Validity
  • Was the experiment/research socially acceptable?
  • Applied behavior analysis Social Validity
    Quality Research
  • Relevant stakeholders, including student, are
    asked to provide input on goals (dependent
    variables), procedures (independent variables),
    and effects (results).

15
  • Social Validation
  • To gather information about participants
    perceptions about what they had learned through
    the problem-solving process, each student
    answered the following three questions at the
    completion of his/her training about the goals he
    or she had set (1) What has changed?, (2) Did I
    do what I said I would do?, and (3) What do I
    like about it (the change)? Additionally,
    anecdotal information was obtained from the
    students regarding their general perceptions
    about the utility of the model.

16
Baselines
  • Baselines provide information about the pattern
    of a behavior--how often it occurs over a
    specified period of time--prior to the
    introduction of an intervention.
  • A baseline provides a representative sample of
    the behavior, or an estimate of the frequency of
    responding.

17
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18
Baseline Problems
  • Baselines may be too short (need a minimum of 3-5
    data points but stability steady state is key
    issue).
  • Baselines may be too long.
  • There may be problems with missing data points.
  • Data may be cyclical.

19
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