Quasi-Experimental Designs in Research
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Quasi-Experimental Designs in Research

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Questions and Answers

What is a key characteristic that differentiates quasi-experiments from true experimental designs?

  • Quasi-experiments lack random assignment. (correct)
  • Quasi-experiments only analyze qualitative data.
  • Quasi-experiments use random assignment.
  • Quasi-experiments involve control groups.
  • Which of the following elements is typically absent in quasi-experimental designs compared to true experiments?

  • Random sampling of participants. (correct)
  • Manipulation of the independent variable.
  • Longitudinal data collection.
  • Control over extraneous variables.
  • In what way do quasi-experiments generally limit internal validity compared to true experiments?

  • They cannot test hypotheses.
  • They require a larger sample size.
  • They create confounding variables due to lack of randomization. (correct)
  • They measure only dependent variables.
  • Why might researchers choose to use a quasi-experimental design instead of a true experimental design?

    <p>When ethical or practical constraints make random assignment impossible.</p> Signup and view all the answers

    Which of the following statements is true regarding the conclusions drawn from quasi-experimental studies?

    <p>They are generally less reliable than conclusions from true experiments.</p> Signup and view all the answers

    Study Notes

    Differentiating Characteristics

    • Quasi-experiments do not use random assignment to allocate participants to groups, unlike true experimental designs.
    • True experimental designs rely on randomization to control for confounding variables, enhancing the internal validity of the findings.

    Absence of Elements

    • Random assignment is typically absent in quasi-experimental designs, which can affect the comparability of groups being studied.

    Internal Validity Limitations

    • Quasi-experiments generally exhibit lower internal validity due to potential selection biases and lack of control over extraneous variables that may influence outcomes.

    Reasons for Choosing Quasi-Experimental Design

    • Researchers may opt for quasi-experimental designs when random assignment is impractical or unethical, such as studying interventions in natural settings.
    • Quasi-experiments can be more feasible and ethical in real-world applications, allowing for broader, observational insights.

    Conclusions from Quasi-Experimental Studies

    • Conclusions drawn from quasi-experimental studies may suggest associations or correlations, but causation should be inferred with caution due to limited controls.
    • Findings from quasi-experimental designs often indicate the effectiveness of an intervention, but these results may be less definitive compared to true experiments.

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    Description

    This quiz explores the key differences between quasi-experimental designs and true experimental designs. It covers aspects such as internal validity, characteristic elements, and reasons for choosing quasi-experimental methods. Test your understanding of these important research concepts.

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