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Experimental Design ã Dependent variable (DV): Variable observed to determine the effects of an experimental manipulation (behavior) ã Independent variable (IV): Variable manipulated by the experimenter (environmental event or treatment) ã Confounding variable: Source of influence other than the IV that may produce changes in the DV ã Experimental design: Rules for applying an IV so as to examine its effects on a DV ã Functional relation: A relationship in which changes in one variable (DV) are demonstrated to be the result (a function) of changes in another variable (IV) ã Single subject design: An experimental design in which a functional relationship can be demonstrated with the behavior of only one subject ã Baseline: Condition in effect prior to introduction of the IV ã A-B notation system: “A” denotes baseline; subsequent letters (“B,” “C,” etc.) denote different IVs ã Replication: Duplication of earlier conditions in an experiment
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A-B Design Definition: Single introduction of at least one IV on at least one baseline
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A-B Design ã Definition: Single introduction of at least one IV on at least one baseline ã Advantage: Repeated measurement under BL (A) and Rx (B) conditions allows examination of changes in level, trend, and variability ã Limitations: No replication Therefore, does not rule out the influence of confounding variables Therefore, no demonstration of a functional relation
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Reversal Design (ABA) Definition: Introduction and subsequent removal of at least one IV on one BL
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Reversal Design ã Definition: Introduction and subsequent removal of at least one IV on one BL ã Variations: ABAB, ABA, BAB, ABAC, etc. ã Advantage: Simple yet powerful demonstration of experimental control
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Reversal Design (ABAB)
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Reversal Design ã Definition: Introduction and subsequent removal of at least one IV on one BL ã Variations: ABAB, ABA, BAB, ABAC, etc. ã Advantage: Simple yet powerful demonstration of experimental control ã Limitations: Detrimental effects of reversal: Ethical considerations Irreversibility: Failure to reproduce effect observed in a previous phase even though conditions are arranged identically Sequence/Order effect: Influence of a previous manipulation on responding in a later condition (e.g., training contingencies)
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Irreversibility (suspected)
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Multiple Baseline Design Definition: Sequential introduction of an IV across more than one BL
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Multiple Baseline Design ã Definition: Sequential introduction of an IV across more than one BL ã Variations: Across subjects, behaviors, settings ã Advantage: Does not require reversal to show experimental control ã Disadvantages: Stability requirement more cumbersome than with a reversal design Potential generalization across baselines (more likely with MBL across behaviors or settings)
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Multiple Baseline Design (Apparent Generalization)
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Multielement Design Definition: Rapid alternation of BL and IV conditions (or 2 or more IVs) on a single BL
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Multielement Design (aka Alternating Treatments) ã Definition: Rapid alternation of BL and IV conditions (or 2 or more IVs) on a single BL ã Variations: BL vs. Rx, Rx1 vs. Rx2 (with or without BL), etc. ã Advantages: Does not require baseline (although preferred) Accommodates trends and instability Minimizes sequence effects (limited exposure to one condition) Ideally suited to complex analyses (parametric, component, comparative) ã Limitation: Multiple treatment interference
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Multielement Design (Adv & Disadv)
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Changing Criterion Design Definition: Introduction of one IV on a single BL in step-wise fashion, with steps corresponding to progressive changes in either response requirement or value of the IV
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Changing Criterion Design ã Definition: Introduction of one IV on a single BL in step-wise fashion, with steps corresponding to progressive changes in either response requirement or value of the IV ã Advantage: No reversal and no additional baselines required to show experimental control ã Disadvantages: Requires control over both direction and level of change Requires careful selection of criterion change
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Changing Criterion Design (Problems)
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