altov2

altov2 - observed was a net gain of zero. People often try...

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Alternative Approaches Single subject designs A is baseline B is treatment A-B, A-B-A, and A-B-A-B designs 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 Trial 8 6 4 2 0 BPM (bar Single Subject Responses ABAB Design A B A B In single subject designs, we find the baseline, then introduce a treatment. In more complicated designs, we may then remove the treatement and reintroduce it. If we see the desired pattern of results, we conclude the treatment had an effect. Quasi Experiments In a quasi-experiment, we have a treatment (different groups), but not random assignment to groups. A nonexperimental or pre-experimental study: The single group pre-post study: T1, Treatment, T2. T1 T2 T1 T2 T1 T2 This is nonexperiemtal because there is no control group and any change (up or down) could be due to the treatment or to anything else that happened over time. There could in fact be a benefit to the treatment that was negated by something else so that what was
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Unformatted text preview: observed was a net gain of zero. People often try to conclude things on the basis of this design, but it cannot be used to make causal inferences. A quasi experimental design: The nonequivalent control group design. In this design, we have pre and post measures for two groups. However, the groups are not randomly assigned. The control group is the best we can do to match the experimental group. Post Pre Time 180 150 120 90 60 30 Mean Packa Quasi-Experiment Nonequivalent Control Group Store 1 (Control) Store 2 (Experimental) We expect the means to be different at pretest. We look for difference in groups in the pattern of pre- and post-test scores. Post Pre Time 180 150 120 90 60 30 Quasi-experiment Store 1 (Control) Store 2 (Experimental)...
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altov2 - observed was a net gain of zero. People often try...

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