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Graphing and Single Subject Designs

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Title: Graphing and Single Subject Designs Author: coe Last modified by: pgunter Created Date: 9/30/2005 2:43:32 PM Document presentation format – PowerPoint PPT presentation

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Title: Graphing and Single Subject Designs


1
Graphing and Single Subject Designs
  • Lecture Notes for September 8
  • SPEC 3020
  • Fall 2009
  • http//coefaculty.valdosta.edu/pgunter/SPEC3020/in
    dex.htm

2
Three Purposes of Graphs
  • Means for Organizing Data during the data
    collection process
  • The Ongoing Picture Makes Possible Formative
    Evaluation
  • Serve as a Vehicle for Communication

3
The Graphic Display
  • Single Subject Design Researchers rely on Visual
    Inspection

4
Use of Microsoft Excel to Develop Single-Subject
Design Graphs (Carr and Burkholder, 1998)
  • Example
  • Sarahs Multiple Baseline

5
Participants Graph Their Own Data
  • See Schloss
  • See Gunter
  • See Figirola
  • See Sutherland

6
Variables and Functional Relationships
  • Variable
  • Dependent variable ( the beauty of rate )
  • Independent variable
  • Functional relationship -- When changes in the
    dependent variable are replicated each time the
    same independent variable is implemented
  • (Single-subject designs provide the framework
    within which to test for the replications of
    effect)

7
Baseline Measures
  • Descriptive Function
  • Predictive Function
  • Stability
  • Variability 5 20 50
  • Trend
  • Ascending
  • Descending

8
Visual Analysis
  • Characteristics of data paths
  • Mean
  • Level
  • Trend
  • Percentage of Overlap
  • Rapidity

9
Trend
  • Visual
  • Quarter-Intersect Method (Line of Progress)
  • Draw a vertical line dividing the data
  • Divide the data on the left half with a vertical
    line and divide the data on the right half with a
    vertical line
  • Find the mid-performance point (half the data
    fall above and half fall below) for the right
    half and left half
  • Connect the intersetion of both halves of the
    data
  • See page 161 and 162 of Text

10
Designs
  • AB Design
  • ABAB Design (Reversal Design)
  • Alternating Treatments Design (Concurrent
    Treatments Design)
  • Changing Conditions Design
  • Changing Criterion Design
  • Multiple Baseline Design
  • Multiple Probe Design

11
AB Design
  • Advantages Simple
  • Disadvantage Can not make confident
    assumption regarding a functional
    relationship
  • Seldom found in research literature

12
ABAB Design (Reversal)
  • Advantages Simplicity, experimental
    control
  • Disadvantage Withdrawing an effective
    intervention

13
Multiple Baseline Design
  • Advantage Permits simultaneous analysis
    of more than one dependent variable
    across behaviors, across settings,
    across individuals
  • Disadvantage Requires extended baseline
    evaluation

14
Multiple Probe
  • Eliminates the necessity of recording extended
    baseline conditions in multiple baseline designs.

15
Alternating Treatments
  • Advantages Allows comparison of more than
    one intervention (or independent
    variable)

16
  • Article Examples
  • Data Collection System
  • Design
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