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12 Cards in this Set
- Front
- Back
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Quasi-experimental Designs |
1) Non-equivalent control group design 2) Time series design 3) Multiple time series design |
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Non-equivalent control group design |
- Reduced history threat -pretest: gives benchmark/initial equivalency - Selection bias: lack random assignment
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Time series design |
- Good for measuring impact policy, curriculum, personal changes -No control for history effects
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Multiple time series design |
- combination of non-equivalent control group design - better control for history threat - works only when testing is non-reactive |
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Non-Experimental Designs |
1) One shot case study 2) One group pretest-posttest 3) Static group comparison |
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One shot case study |
- one group posttest only - one group given treatment + posttest - Many threats to internal validity |
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One group pretest-posttest |
e.g. students + grades - threats include history, maturation, interaction w/ selection, testing, instrumentation |
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Static group comparison |
- two groups but not randomly assigned - one group = treatment + post test; other group just a post test |
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Experimental Designs |
1) Pretest-posttest control group design 2) Post-test only control group design 3) solomon four group design |
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Pretest-posttest control group design |
Each participant in either control or experimental condition selection threat eliminated - groups equal Pretest sensitisation threat = external validity Widely used design |
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Post-test only control group design |
groups assumed equal - may not be initially equivalent can generalise to a group from which participants randomly selected Pretest sensitisation NOT threat to external validity useful for pretest bias concerns |
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solomon four group design |
combines pretest & posttest only designs controls for and measures pretest sensitivity measures effectiveness of treatment measures testing effects |
