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  2. Learn the differences and similarities between experimental and quasi-experimental study designs, and when to use each one. An experimental design is a randomized study that minimizes bias and confounding, while a quasi-experimental design is a non-randomized study that uses statistical techniques to study causal relationships.

  3. Differences between Quasi-Experimental and Experimental Research. Thus far, we have explained that for experimental research we need: a hypothesis for a causal relationship; a control group and a treatment group; to eliminate confounding variables that might mess up the experiment and prevent displaying the causal relationship; and

  4. Mar 26, 2024 · Quasi-experimental design is a research method that seeks to evaluate the causal relationships between variables, but without the full control over the independent variable(s) that is available in a true experimental design.

  5. Explain what quasi-experimental research is and distinguish it clearly from both experimental and correlational research. Describe three different types of quasi-experimental research designs (nonequivalent groups, pretest-posttest, and interrupted time series) and identify examples of each one.

  6. Quasi-experimental research is a design that closely resembles experimental research but is different. The term “quasi” means “resembling,” so you can think of it as a cousin to actual experiments.

  7. Explain what quasi-experimental research is and distinguish it clearly from both experimental and correlational research. Describe three different types of quasi-experimental research designs (nonequivalent groups, pretest-posttest, and interrupted time series) and identify examples of each one.