CHAPTER+3+ADDENDUM - any given subject) ≠ Single Subject...

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Traditional Group Design: Question: Does X make a difference? Experimental group: Pretest X Posttest Control group: Pretest No X Posttest Examine group variability and compare group averages Advantage Provides good answer to general questions about effects on population Disadvantages Requires large N (impractical) Inflexible design (cannot change IV midstream) Large N increases statistical significance (biased) Limited sampling (within-subject variability and trends?) Reliability (replicability) of effects for a subject unknown There is no “average” subject (group mean
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Unformatted text preview: any given subject) ≠ Single Subject Design: Defining Characteristics Repeated measurement of Baseline (BL) performance Introduction of IV on stable BL Replication of experimental effect (usually BL and IV) Analysis usually through visual inspection of data Advantages Repeated measurement reveals natural variability Does not require large N (well suited to unusual cases) Flexible design accommodates changes in IV Reliability of cause-effect relation shown through replication Disadvantages Generality of effect unknown Does not answer no-treatment vs. treatment (population) questions...
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This document was uploaded on 10/31/2011 for the course CHM 8227 at University of Florida.

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