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How do you know it worked

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How do you know it worked Single Subject Designs in Teaching How do we know if our teaching is successful or change is due to chance? Functional Relationship a ... – PowerPoint PPT presentation

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Title: How do you know it worked


1
How do you know it worked
  • Single Subject Designs in Teaching

2
How do we know if our teaching is successful or
change is due to chance?
  • Functional Relationship a cause and effect. The
    target behavior changes as a result of the
    intervention
  • Functional Relationship exists between the two
    variables when the interventions have been
    systematically replicated on or more times

3
  • Variable any number of factors involved in
    research. (factors related to participants,
    conditions, interventions)
  • GOAL to control for the presence of absence of
    variables that may effect the outcomes

4
Variables
  • Independent intervention being used
  • Dependent behavior targeted for change
  • Confounding Those variables in the environment
    that are not controlled but may influence the
    dependent variable

5
Components of a SSD
  • Baseline Measures
  • A measure of the behavior under the conditions
    that currently exist.
  • Provide a measure of the behavior if no
    intervention occurs.

6
Components of a SSD
  • Baseline Measures
  • Why do we want a baseline to be as stable as
    possible?
  • What are two measures of stability?
  • Variability
  • Trend

7
What to consider when trying to intervene?
  • Too much variability makes it difficult to draw
    conclusions
  • Good operational definition of the dependent
    variable
  • Naturally occurring variability

8
  • Trends in the data points
  • No trend
  • Ascending trend
  • Descending trend

9
Components of a SSD
  • Intervention Measures
  • Repeated measures of the behavior under treatment
    conditions
  • Experimental Control insures that changes in the
    behavior are in fact due to the intervention and
    not other confounding variablesa functional
    relationship exists

10
Teaching designs
  • A functional relationship is not established
    (lack of experimental control)
  • Less confident assumptions can be drawn
  • Provide sufficient indication of behavior change

11
Research Designs
  • Allows for experimental control and the existence
    of a functional relationship

12
AB Designs
Advantages Disadvantages
Simple to use
Compares student performance Cannot make confident assumptions
Good to graph acquisition obj.
  • Referred to as the Teaching design
  • Consists of two phases
  • Data collected during intervention are compared
    to those collected during baseline

13
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14
Reversal Designs
  • Used to study the effectiveness of a single
    intervention (independent variable)
  • Consists of 4 phases
  • Should not be used
  • When dependent variable is dangerous
  • When dependent variable is not reversible

What problems does this pose?
Advantages Disadvantages
Experimental control Must withdraw intervention
Simple
15
Reversal Designs
  • Repeatedly compares baseline data to intervention
    data
  • Dependent on the replication of baseline and
    intervention effects
  • Confounding variables?

16
Changing Criterion Design
Advantages Disadvantages
Functional relationship without withdrawing intervention Must be used on behaviors that require small incremental changes
Progress oriented
Starting with small change
  • Evaluates the one independent variable on one
    dependent variable
  • Experimental control is demonstrated by
    incrementally increasing or decreasing the
    dependent variable
  • Consists of two phases

17
Changing Criterion Design
  • Implementation
  • Collect baseline data
  • Determine interim criterion for performance
  • Mean of the stable portion of baseline
  • Half the mean of the baseline
  • Highest or lowest baseline
  • Professional estimate

18
Changing Criterion Design
  • Demonstrating Functional Relationship
  • Alter the number of sessions
  • Continue with a sub-phase until a stable rate
  • Vary the increase
  • Require a change in the opposite direction

19
Multiple Baseline Designs
  • Analysis of 1 independent variable on more than 1
    dependent variables
  • Across behaviors
  • Across settings
  • Across individuals
  • Consists of 2 phases

20
Multiple Baseline Designs
Advantages Disadvantages
Establish a functional relationship (without reversing the intervention Must implement across settings, people, etc. -- cumbersome
Allows the examination of one intervention on many kids Collect baseline over extended period of time
  • Cannot be used with a behavior that calls for
    immediate action
  • When behaviors are not independent

21
Multiple Baseline Designs
  • Implementation
  • Baseline is collected on all conditions at the
    same time
  • Begin intervention in first condition when stable
    baseline is reached
  • Begin intervention in second condition when
    change has occurred in the first condition

22
Multiple Baseline Designs
  • Extended Baselines
  • Not appropriate for some behaviors
  • Kids may learn error response
  • Kids may become frustrated
  • No instruction being delivered

23
Alternating Treatments Designs
  • Allows the comparison of the effectiveness of
    more than one intervention on a single dependent
    variable

Advantages Disadvantages
Efficient for teachers Must implement a replication phase for functional relationship
Multiple treatment spillover
24
Alternating Treatments Designs
  • Implementation
  • Each condition equal number of times
  • Schedule of interventions should be
    counterbalanced (to avoid order effects)
  • Distinctive discriminative stimulus should
    immediately precede the condition

25
Changing Condition Design
  • Implementation
  • Interventions are introduced sequentially.
  • Functional relationship only if a return to
    baseline occurs before C condition

26
Advantages Disadvantages
Compare interventions No functional relationship can be established
  • Used to study the effectiveness of two or more
    treatments on the behavior of a student. ABC
    design

Cummulative effects
27
Analysis of Results
  • Visual Inspection
  • Mean of data points
  • Levels of performance
  • Trend in performance
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