Week 3 Chapter 6 Cooper PDF
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Cooper, Heron, and Heward
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Summary
This document details chapter 6 of the second edition of the Applied Behavior Analysis textbook. It discusses the construction and interpretation of graphic displays of behavioral data. The summary includes various assessment methods, definitions, and measurable dimensions of behavior, along with focus questions and discussion points related to graphing behavior.
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CHAPTER 6: CONSTRUCTING AND INTERPRETING GRAPHIC DISPLAYS OF BEHAVIORAL DATA Copyright © 2007 by Pearson Education, Inc. All rights reserved FIVE PHASES OF ASSESSMENT 1. Screening...
CHAPTER 6: CONSTRUCTING AND INTERPRETING GRAPHIC DISPLAYS OF BEHAVIORAL DATA Copyright © 2007 by Pearson Education, Inc. All rights reserved FIVE PHASES OF ASSESSMENT 1. Screening 2. Defining problem or criteria for achievement 3. Pinpointing target behaviors 4. Monitoring progress 5. Following-up KEY LEARNINGS ASSESSMENT METHODS Indirect measures Interviews Checklists Direct measures Tests Direct Observation KEY LEARNINGS HABILITATION ▪ Degree to which a person’s behavior repertoire maximizes short and long- term reinforcers and minimizes short and long-term punishers ▪ Use to assess meaningfulness of behavior change TWO TYPES OF DEFINITIONS ▪ Function-based Designated according to effect on the environment ▪ Topography-based Identifies the shape or form of the behavior KEY LEARNINGS IN CLASS ACTIVITY Create a function and topography based operational definition for the target behavior you chose for Project #1. MEASURABLE DIMENSIONS OF BEHAVIOR ❑Dimensions are distinct features that can be measured ❑There are 3 fundamental properties Repeatability or countability: behavior can be counted Temporal extent: duration Temporal locus: when behavior occurs (Interresponse & latency) CHAPTER FOCUS QUESTIONS What are the benefits of graphic display and visual analysis of behavioral data? What are the fundamental properties of behavior change over time? What are the different visual formats for the graphic display of behavioral data? What are the relative strengths and limitations of each visual format? What are the basic parts of a properly constructed line graph? What is the purpose of visual analysis? How is a visual analysis of behavioral data conducted? Copyright © 2007 by Pearson Education, Inc. All rights reserved DIRECT AND REPEATED MEASUREMENT OF BEHAVIOR Data Medium with which the behavior analyst works Results of measurement Empirical basis for decision making Plural ✓ These data are… Copyright © 2007 by Pearson Education, Inc. All rights reserved DIRECT AND REPEATED MEASUREMENT OF BEHAVIOR Consecutive measures, Number Correct over time Condition Condition Data series vs. graphic A B display 12 14 15 21 13 24 Percentage of correct responses 70, 72, 71, 87,90, 85, 73 Copyright © 2007 by Pearson Education, Inc. All rights reserved GRAPHIC DISPLAY Copyright © 2007 by Pearson Education, Inc. All rights reserved GRAPHIC DISPLAY Copyright © 2007 by Pearson Education, Inc. All rights reserved PURPOSE & BENEFITS OF GRAPHIC DISPLAY Graphic displays Primary function communication Display relationships between dependent variable and independent variable Summarization of data collected Facilitates of accurate analyses Copyright © 2007 by Pearson Education, Inc. All rights reserved PURPOSE & BENEFITS OF GRAPHIC DISPLAY Benefits Immediate access to record of behavior Variations prompt exploration Provides judgmental aid ✓ Relatively easy to learn, no predetermined level for determining significance of change, no mathematical properties required Conservative method Encourages independent judgment & interpretation Effective source of feedback Copyright © 2007 by Pearson Education, Inc. All rights reserved FUNDAMENTAL PROPERTIES OF BEHAVIOR CHANGE Level Trend Variability Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA Line graph Bar graphs Cumulative record Semilogarithmic charts ✓Standard Celeration Chart Scatterplots Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA LINE GRAPH Based on the Cartesian plane Two-dimensional area formed by intersecting lines Points on the plane represent relationships ✓ Level of the dependent variable when the independent variable was in effect Comparisons of data points reveals the presence or absence of changes in level, trend, and/or variability Cartesian Plane Definition: The cartesian plane is a two-dimensional coordinate plane formed by the intersection of two perpendicular lines. The horizontal line is known as X-axis, and the vertical line is known as Y-axis. Copyright © 2007 by Pearson Education, Inc. All rights reserved PARTS OF A LINE GRAPH Horizontal axis Vertical axis Condition change lines Condition labels ✓ Phase and condition Data points Data path Figure Caption Copyright © 2007 by Pearson Education, Inc. All rights reserved Figure 5. Rates of hits during baseline and the blocking condition for Arlo. Figure Legend Copyright © 2007 by Pearson Education, Inc. All rights reserved LINE GRAPH VARIATIONS Two or more dimensions of the same behavior Two or more different behaviors Measure of the same behavior under different conditions Changing values of the independent variable Same behavior of two or more participants Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA BAR GRAPH Based on the Cartesian plane No distinct data points representing successive response measures through time Functions ✓ Displaying and comparing discrete sets of data that ARE NOT related by a common underlying dimension by which the horizontal axis can be scaled (Example) ✓ Visual summary of participant or group performance during different experimental conditions Provides efficient summary of data ✓ DOES NOT allow for analysis of variability & trends in behavior Copyright © 2007 by Pearson Education, Inc. All rights reserved SAMPLE B AR GRAPH % Completion % Accuracy Percent Completion/Accuracy Baseline Generalization/Maintenance Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA CUMULATIVE RECORD Developed by Skinner Primary means of data collection in EAB Cumulative recorder Experimental subject draws its own graph Shows the number of responses on the ordinate against time on the abscissa Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA CUMULATIVE RECORD Number of responses recorded and added to the total number of responses recorded during previous observations ✓ Cumulative Y-Axis (vertical axis) ✓ Represents the total number of responses recorded since the start of data collection Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA CUMULATIVE RECORD Display ✓ Total number of responses at any given point in time Relative rates of response ✓ The steeper the slope, the higher the response rate Overall response rate Local response rate Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN Cumulative Number Correct ABA CUMULATIVE RECORD The steeper the slope, the higher the response rate Sessions Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA CUMULATIVE RECORD When to use cumulative graph over noncumulative graph Progress toward a specific goal can be measured in cumulative units ✓ E.g., Number of new words learned, quarters saved Graph is used as personal feedback ✓ Total progress and relative rate of performance easily detected Target behavior can only occur once per observation period ✓ Yes/No Intricate details between behavior & environmental variables are of interest ✓ E.g., Within session analyses Copyright © 2007 by Pearson Education, Inc. All rights reserved EQUAL-INTERVAL GRAPHS Distance between any two consecutive points on each axis is always the same ✓ Increase/decrease in performance expressed by equal distances on the y-axis ✓ Distance between sessions, days, etc. expressed by equal distance on the x-axis https://alldayaba.org/blog/f/inter Copyright © 2007 by preting-graphs---aba-graph- Pearson Education, Inc. vocabulary---section-c-11 All rights reserved TYPES OF GRAPHS UTILIZED IN ABA SEMILOGARITHMIC CHARTS Ratio or multiply-divide charts ✓ One axis is scaled proportionally ✓ Double response rate 4 to 8 same as 50 to 100 All behavior changes of equal proportion are shown by equal vertical distances on the vertical axis Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA STANDARD CELERATION CHART Developed by Ogden Lindsley Standardized method for ✓ Charting & analyzing how frequency of behavior changes over time Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN AB A STANDARD CELERATION CHART From the Journal of Precision Teaching and Celeration, 19(1), p. 54. Copyright 2002 by The Standard Celeration Society. Used by permission. Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA STANDARD CELERATION CHART Four standard charts Difference in scaling on horizontal axis ✓ Daily chart (140 calendar days) ✓ Weekly chart ✓ Monthly chart ✓ Yearly chart What’s standard about the standard celeration chart? ✓ Consistent display of celeration Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA STANDARD CELERATION CHART Celeration Linear measure of frequency change across time A factor by which frequency multiples or divides per unit of time ✓ Acceleration – accelerating performance ✓ Deceleration – decelerating performance Standard chart Six, X 10 cycles (vertical axis) ✓ 1 per 24 hrs ✓ 1,000 per minute Bottom left to top right corner ✓ Slope of 34° - celeration value X2 Copyright © 2007 by Pearson Education, Inc. All rights reserved STANDARD CELERATION CHART & PRECISION TEACHING Precision Teaching ✓ Instructional decision-making system ✓ Developed for use with standard celeration chart Position ✓ Learning best measured as a change in response rate ✓ Learning most often occurs through proportional changes in behavior ✓ Past changes can predict future learning Chart uses estimations for most frequency values Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA SCATTERPLOT Shows relative distribution of individual measures in a data set Data points are unconnected Depicts changes in value on one axis correlated with changes in value on the other axis Patterns suggest certain relationships ✓ Sometimes used to discover the temporal distribution of the target behavior Copyright © 2007 by Pearson Education, Inc. All rights reserved TYPES OF GRAPHS UTILIZED IN ABA SCATTERPLOT From “A Technology to Measure Multiple Driving Behaviors without Self-Report or Participant Reactivity” by T. E. Boyce and E. S. Geller, 2001, Journal of Applied Behavior Analysis, 34, p. 49. Copyright 2001 by the Society for the Experimental Analysis of Behavior, Inc. Used by permission. Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS An effective graph presents data ✓ Accurately ✓ Completely ✓ Clearly ✓ Makes visual analysis as easy as possible ✓ Does not create distortion or bias interpretation Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS DRAWING, SCALING, & LABELING AXES Use a balanced ratio between the height and width of the axes Relative length of the vertical axis to horizontal axis ✓ Suggestions 5:8; 3:4; 1:1.6 ratio y-axis to x-axis Horizontal axis ✓ Mark equal intervals ✓ Left to right chronological succession of equal time periods or response opportunities ✓ Use regularly spaced tic marks Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS DRAWING, SCALING, & LABELING AXES Use a scale break to represent discontinuities in the progression of time Regularly spaced tic marks Scale break ~ ~ Copyright © 2007 by Pearson Education, Inc. All rights reserved “A scale break is a stripe drawn across the plotting area of a chart to denote a pause continuity between the high and low values on a value axis. This axis is usually the vertical, or y-axis. Use a scale break to display two distinct ranges in the same chart area in a paginated report.” https://learn.microsoft.com/en-us/sql/reporting-services/report-design/add-scale-breaks- to-a-chart-report-builder-and-ssrs?view=sql-server-ver16 CONSTRUCTING LINE GRAPHS DRAWING, SCALING, & LABELING AXES Scaling of vertical axis Most significant feature of the graph Mark the origin at zero Mark the full range of values represented in the data set If relatively small changes in performance are socially significant ✓ Y-Axis should reflect a smaller range of values Good Practice: Plot the data set against several different vertical axis scales – watch for distortion that may lead to inaccurate interpretations Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS LABELING VERTICAL AXIS Brief label, printed, centered to Hits per minute the left and parallel to the vertical axis Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS Condition Change Lines Vertical lines Extend upward Indicate change in treatment or experimental condition Solid or dashed lines Major changes – solid Minor changes – dashed Asterisks (*), arrows (→) or other symbols to indicate small changes Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS Baseline Blocking Condition Change Labels Identify conditions in effect during each period of the experiment Centered above & between condition change lines Brief, but descriptive labels Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS DATA POINTS & DATA PATHS Place each data point in the exact coordinate of the horizontal and vertical axis ✓ If graphing by hand - use a graph paper with appropriately spaced grid lines Use bold, easily discernable symbols ✓ Use a different symbol for each set of data Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS DATA POINTS & DATA PATHS Draw data paths using a straight line ✓ The center of each data point in a given data set to the center of the next data point in the same set Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS DATA POINTS & DATA PATHS DO NOT CONNECT DATA POINTS IF… ✓ Points fall on either side of a condition change line ✓ A significant span of time passed, and behavior was not measured There was a discontinuity in time in the horizontal axis (e.g., school vacation) ✓ Data were not collected, lost, etc. It is follow-up or post-check data ✓ Unless intersession time span same as original experiment Data points fall beyond the values described by the vertical axis Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS DATA POINTS & DATA PATHS Use different styles of lines for multiple data paths on the same graph Clearly identify what each data path represents ✓ Use arrows or a legend Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING LINE GRAPHS FIGURE CAPTION & PRINTING Figure caption ✓ Printed below the graph ✓ Concise, complete description of figure Direct viewers attention to features of the graph that may be overlooked ✓ E.g., scale changes Describe the meaning of any added symbols Print graphs in one color - black Copyright © 2007 by Pearson Education, Inc. All rights reserved CONSTRUCTING GRAPHS – USING COMPUTER SOFTWARE Use with caution ✓ Check the range of scales available ✓ Check the accuracy of data point plotting ✓ Check the precision of data paths Further information ✓ Carr & Burkholder (1998) ✓ Silvestri (2003) www.prenhall.com/cooper Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA Visual analysis ✓ Did behavior change in a meaningful way? If so, to what extent can that change in behavior be attributed to the independent variable? Identification of ✓ Variability ✓ Level ✓ Trend Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA “It is impossible to interpret graphic data without being influenced by various characteristics of the graph itself.” Johnson & Pennypacker, 1993b, p. 320 Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA Read the graph ✓ Figure caption ✓ Condition & axis labels ✓ Location of numerical value & relative significance of scale breaks Visually track each data path ✓ Are data paths properly connected? ✓ Is the graph distorted? Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA Visual analysis ✓ Within conditions Number of data points Nature & extent of variability in the data Absolute & relative level of the behavioral measure Direction & degree of any trends in the data Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA Visual analysis ✓ Between conditions Level ✓ Mean or median level lines Trend Stability/Variability ✓ Across similar conditions Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA Level ✓ Value on the vertical axis around which a series of data points converge Stability ✓ When data points fall at or near a specific level Mean or median lines ✓ Added to represent overall average or typical performance ✓ Use with caution - can obscure important variability Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA Trend ✓ Overall direction taken by the data path Direction ✓ Increasing, decreasing, or zero trend Degree ✓ Gradual or steep Extent of variability ✓ Trend line or line of progress Freehand, least-squares regression equation, or split-middle line of progress Copyright © 2007 by Pearson Education, Inc. All rights reserved INTERPRETING GRAPHICALLY DISPLAYED BEHAVIORAL DATA Variability/Stability ✓ Frequency and degree to which multiple measures of behavior yield different outcomes High degree of variability ✓ Little or no control over the factors influencing behavior Copyright © 2007 by Pearson Education, Inc. All rights reserved