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Alternative Approaches. Specialized Designs. 1. Single Subject Designs. A is baseline. B is treatment. Add and remove treatment to find effect. Common designs: A-B, A-B-A, A-B-A-B. Interrupted Time Series. Effects of 9/11 on volunteering. 2. Quasi-experimental Designs.

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alternative approaches

Alternative Approaches

Specialized Designs

1 single subject designs
1. Single Subject Designs

A is baseline. B is treatment. Add and remove treatment to find effect. Common designs: A-B, A-B-A, A-B-A-B

interrupted time series
Interrupted Time Series

Effects of 9/11 on volunteering

2 quasi experimental designs
2. Quasi-experimental Designs
  • Quasi-experiments have treatment groups, but non-random assignment to treatment. E.g., classroom as group assignment in ed study.
  • Non-experimental or pre-experimental study: Single group pre-post study. Measure at T1, treat group, measure at T2. Effect?

T1 T2

T1 T2

T1 T2

No causal conclusion is possible here.

quasi experimental design 2
Quasi-experimental Design (2)
  • Pre-experimental design lacks a control group. Toothpaste & tooth loss.
  • Other examples?
    • Corporate training.
quasi experiment 3
Quasi-Experiment (3)
  • Nonequivalent control group design. Have pre-post measures for 2 groups, but no random assignment to group. Control is best match we can do.

Note. Pretest means are different. Look for what would be an interaction in a true experiment.

quasi experiment 4
Quasi-experiment (4)
  • No treatment effect

Means for both groups increase similarly.

  • How do you show an effect with a single-subject design?
  • How do you show an effect with a quasi-experiment?
  • What is the major design difference between a true experiment and a quasi experiment?
  • What is the difference in what you can infer between the true experiment and the quasi-experiment?