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12 Quasi-experimental and factorial research designs.docx

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PSYC 2001
Guy Lacroix

Quasi-experimental and factorial research designs The use of appropriate controls - Sound experimental research designs allow to eliminate threats to internal validity by : • The use of random assignment • The use of similar testing conditions. - Not every design that looks experimental is experimental. - The ability to run a t-test on data does not warrant a cause-and-effect explanation. Three non-experimental design Differential research The comparison of pre-existing groups One-Group Pretest-Posttest design One group is measured before and after an intervention Posttest-only nonequivalent control One group is measured after a treatment group design while another is measured without having received a treatment - Differential research cannot really determine cause. Other things can come into play, and so you can’t make a solid conclusion on it - One-group...  can draw cause from this design, cannot draw a certain conclusion***??? - Posttest-only... don’t know what happened before Two classic non-experimental designs - Cross-sectional design: Adevelopmental design comparing different groups of individuals, each group representing a different age. - Longitudinal design: Adevelopmental research design that examines development by making a series of observations or measurements over time. Typically, a group of individuals who are all the same age is measured at different points in time. Quasi-Experimental research - Aresearch strategy that attempts to limit threats to internal validity and produce cause- and-effect conclusions (like an experiment), but lacks one of the critical components— either manipulation or control—that is necessary for a true experiment. - Typically compares groups or conditions that are defined with a nonmanipulated variable. • School-based research - You can draw a causal conclusion - You have limited ability to do random assignment An example of Quas
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