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Quantitative Research Designs

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?

references

Explorable (2010). Experimental research. Available at https://explorable.com/experimental-research

Malec, T. & Newman, M. (2013). Research methods: Building a knowledge base. San Diego, CA: Bridgepoint Education, Inc. ISBN-13: 9781621785743, ISBN-10: 1621785742.
Chapter 5: Experimental Designs – Determining Cause-and-Effect Relationships

Schoeler, T., Duncan, L., Cecil, C. M., Ploubidis, G. B., & Pingault, J.-B. (2018). Quasi-experimental evidence on short- and long-term consequences of bullying victimization: A meta-analysis. Psychological Bulletin, 144(12), 1229–1246. https://doi-org.proxy-library.ashford.edu/10.1037/… (Supplemental)

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