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Quantitative Research Designs: quasi- experiments

Quantitative Research Designs: quasi- experiments

A research design is like a blueprint for conducting research. It guides the researcher in determining when and how often the data will be collected, what data will be collected and from whom, and how the collected data will be analyzed. While there are several research designs available, the most common designs associated with quantitative research include true experiments, quasi- experiments, pre-experiments and correlations.

Instructions:

First, select one quasi-experimental design and develop an example of a study that would require that design. Identify the independent and dependent variables, and discuss the necessary conditions required for that design.

Then, answer the following questions:

  • How could you change this study to make it a true experiment?
  • What would be the advantages of using a true experimental design over a quasi-experimental design?
  • In what situations might a quasi-experimental design be preferred over a true experimental design?

Your post should be at least 300 words. For this discussion, rather than responding to two peers, select one peer whose study idea you find particularly intriguing and engage in a back and forth discussion with that peer about the discussion topics. Make sure to have at least two substantive posts to that classmate. Here, our goal is to dive a bit deeper into a discussion with an individual peer. Feel free to post additional responses to the discussion thread that share what you both learned from your exchange. Peer responses must be posted by Day 7.

Point Value: 3 Points
Weekly Learning Outcome Alignment: 1
Course Learning Outcome Alignment: 2


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