Chapter 7 Analyzing Behavior Change

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Transcript Chapter 7 Analyzing Behavior Change

Chapter 10: Planning and Evaluating Applied Behavior Analysis Research

Cooper, Heron, and Heward

Applied Behavior Analysis,

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Importance of Individual Subject

• Enables applied behavior analysts to discover and refine effective interventions for socially significant behaviors • Contrasted with groups-comparison approach Cooper, Heron, and Heward

Applied Behavior Analysis,

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Groups-Comparison Experiment

• Randomly selected pool of subjects from relevant population • Divided into experimental and control groups • Pretest, application of independent variable to experimental group, and posttest Cooper, Heron, and Heward

Applied Behavior Analysis,

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Group Data Not Representative of Individual Performance

• Individuals within a group could stay the same or decrease, while the improvement of others could make it appear as overall average improvement • To be most useful, treatment must be understood at an individual level Cooper, Heron, and Heward

Applied Behavior Analysis,

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Group Data Masks Variability

• Hides variability that occurs within and between subjects • Statistical control should not be a substitute for experimental control • To control effects of any variable, must either hold it constant or manipulate it as an independent variable Cooper, Heron, and Heward

Applied Behavior Analysis,

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Absence of Intrasubject Replication

• Power of replicating effects with individuals is lost • Many applied situations in which overall performance of group is socially significant • When group results don’t represent individuals, should supplement the data with individual results Cooper, Heron, and Heward

Applied Behavior Analysis,

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Importance of Flexibility in Design

• An effective researcher must actively design each experiment so that it achieves its own unique design • Good experimental design is any independent variable manipulation that produces data that convincingly addresses the research question • The book presents analytic tactics in design form Cooper, Heron, and Heward

Applied Behavior Analysis,

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Experimental Designs

• Often designs entail a combination of analytic tactics • Component analysis of elements • Infinite number of possible designs with different combinations • Most effective use ongoing evaluation of data from individuals to employ baseline logic of prediction, verification, and replication Cooper, Heron, and Heward

Applied Behavior Analysis,

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Internal Validity

• Experiments that demonstrate clear functional relations have high degree of internal validity • Experimental control refers to all relevant variables • Steady state responding as evidence • Confounding variables are threats to internal validity Cooper, Heron, and Heward

Applied Behavior Analysis,

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Subject Confounds

• Maturation: changes in subject over course of experiment • Repeated measurement controls and detects uncontrolled variables Cooper, Heron, and Heward

Applied Behavior Analysis,

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Setting Confounds

• Studies in natural settings are more prone to confounding variables than in controlled laboratories • If change in setting occurs, should then hold new conditions constant until steady state responding is observed Cooper, Heron, and Heward

Applied Behavior Analysis,

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Measurement Confounds

• Observer drift or bias • Keeping observers naïve to expected outcomes can reduce observer bias • Must maintain baseline conditions long enough for reactive effects to run their course and then obtain stable responding • Could use intermittent probes except when practice effects would be expected Cooper, Heron, and Heward

Applied Behavior Analysis,

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Independent Variable Confounds

• Placebo control separates effects produced by subject’s perceived expectations • Double-blind control eliminates confounding by subject expectations, teacher and parent expectations, differential treatment by others, and observer bias Cooper, Heron, and Heward

Applied Behavior Analysis,

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Treatment Integrity

• Similar to procedural fidelity • Extent to which the independent variable is implemented or carried out as planned • Low treatment integrity makes it very difficult to confidently interpret experimental results • Treatment drift: when application of independent variable in later phases differs from original application Cooper, Heron, and Heward

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Precise Operational Definition

• A high level of treatment integrity requires a complete, precise operational definition of treatment procedures • Define in 4 dimensions: verbal, physical, spatial, and temporal Cooper, Heron, and Heward

Applied Behavior Analysis,

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Simplify, Standardize, and Automate

• Simple, precise treatments are more likely to be consistently delivered • Simple, easy-to-implement techniques are more likely to be used and socially validated • Experimenters should standardize as many aspects as possible and practical • If possible without compromise, could use an automated device to deliver independent variable Cooper, Heron, and Heward

Applied Behavior Analysis,

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Training and Practice

• Train or provide practice for individual who will conduct the experimental sessions • Could provide a detailed script, verbal instructions, modeling, or performance feedback Cooper, Heron, and Heward

Applied Behavior Analysis,

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Assessing Treatment Integrity

• Collect treatment integrity data to measure how the actual implementation of the conditions matches the written methods • Observation and calibration give the researcher the ongoing ability to use retraining and practice to ensure high treatment integrity • Reduce, eliminate, or identify the influence of as many potentially confounding variables as possible Cooper, Heron, and Heward

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Social Validity

• Includes the social significance of the target behavior, the appropriateness of the procedures, and the social importance of the results • Usually assessed by asking direct and indirect consumers • Consumer satisfaction Cooper, Heron, and Heward

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Social Importance of Behavior Change Goals

• To determine socially valid goals: – Assess the performance of persons considered competent – Experimentally manipulate different levels of performance to determine which produces optimal results Cooper, Heron, and Heward

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Social Importance of Interventions

• Rating scales and questionnaires for obtaining consumers’ opinions on acceptability of interventions • Examples: – Intervention Rating Profile – Treatment Acceptability Rating Form Cooper, Heron, and Heward

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Social Importance of Behavior Changes

• Methods for assessing outcomes: – Compare subject’s performance to a normative sample – Use standardized assessment instrument – Ask consumers to rate social validity of performance – Ask experts to evaluate subject’s performance – Test subject’s new performance in natural environment Cooper, Heron, and Heward

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Normative Sample

• Not limited to posttreatment comparisons • Compare subject’s behavior to ongoing probes of behavior of normative sample to provide ongoing measure of improvement and how much is still needed Cooper, Heron, and Heward

Applied Behavior Analysis,

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Consumers and Experts

• Most frequently used method for assessing social validity is to ask consumers • Experts can be called upon to judge the social validity of some behavior changes Cooper, Heron, and Heward

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Standardized and Real-World Tests

• Example of standardized test: Self-Injury Trauma Scale (SITS) • Real-world test in the natural environment provides direct assessment of social validity • Also exposes subject to naturally occurring reinforcement, which may promote maintenance and generalization Cooper, Heron, and Heward

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External Validity

• Degree to which a functional relation in an experiment will hold under different conditions • A matter of degree, not all-or-nothing • Those with greater degrees of generality, make greater contribution to applied behavior analysis Cooper, Heron, and Heward

Applied Behavior Analysis,

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External Validity and Groups Design Research

• There is nothing in the results of a groups design experiment that can have external validity • Unable to provide data that lead to improved practice in education • Groups-design is effective in large-scale evaluations Cooper, Heron, and Heward

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External Validity and Applied Behavior Analysis

• Generality of findings in ABA is assessed, established, and specified through replication of experiments • Two major types of scientific replication: direct and systematic Cooper, Heron, and Heward

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Direct Replication

• Duplicates exactly the conditions of an earlier experiment • Intrasubject direct replication: uses same subject to establish reliability of functional relation • Intersubject direct replication: uses different but similar subjects to determine generality Cooper, Heron, and Heward

Applied Behavior Analysis,

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Systematic Replication

• Researcher purposefully varies one or more aspects of earlier experiment • Can demonstrate reliability and external validity of earlier findings • Can alter any aspect: subjects, setting, administration of independent variable, or target behaviors Cooper, Heron, and Heward

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Evaluating Applied Behavior Analysis Research

• Questions to ask in evaluating the quality of research in applied behavior analysis fall under 4 categories: – Internal validity – Social validity – External validity – Scientific and theoretical significance Cooper, Heron, and Heward

Applied Behavior Analysis,

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Internal Validity

• Must decide whether functional relation has been demonstrated • Requires close examination of measurement system, experimental design, and the researcher’s control of potential confounds Cooper, Heron, and Heward

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Evaluating Internal Validity

• Definition and measurement of dependent variable • Graphic display • Meaningfulness of baseline conditions • Experimental design • Visual analysis and interpretation Cooper, Heron, and Heward

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Visual Analysis and Interpretation

• Factors that favor visual analysis over tests of statistical significance in ABA: – Want to see socially significant behavior change, not statistically significant – Good for identifying variables that produce strong, large, and reliable effects – Accepting statistical analysis as evidence of functional relation may cause researcher not to experiment further – Tests of statistical significance may cause data sets to conform, losing flexibility in design Cooper, Heron, and Heward

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Errors

• Type I error: when researcher concludes that independent variable had effect on dependent variable, when it did not • Type II error: when researcher concludes that independent variable did not have effect on dependent variable, when it did • Visual analysis leads to less Type I and more Type II errors • Statistical analysis leads to more Type I and less Type II errors Cooper, Heron, and Heward

Applied Behavior Analysis,

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Social Validity

• Independent variable should be assessed in terms of its effects on dependent variable, as well as social acceptability, complexity, practicality, and cost • Consider maintenance and generalization of behavior change in evaluation of a study Cooper, Heron, and Heward

Applied Behavior Analysis,

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External Validity

• To effectively judge external validity, compare a study’s results with those of other relevant published research Cooper, Heron, and Heward

Applied Behavior Analysis,

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Theoretical Significance and Conceptual Sense

• Evaluate a study in terms of its scientific merit • Look at its contribution to the advancement of the field • “knowledgeable reproducibility” Cooper, Heron, and Heward

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Need for More Thorough Analyses

• Need for more conceptual understanding of the principles that underlie successful demonstrations of behavior change • Readers should consider the technological description, the interpretation of results, and the level of conceptual integrity in experimental reports Cooper, Heron, and Heward

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