Now you know about survey design and experiment design, among other types of data analysis methods.

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Now you know about survey design and experiment design, among other types of data analysis methods.

This week, build on your previous essays by explaining an appropriate statistical test for analyzing data gathered in one of your hypothetical designs.

List the independent and dependent variables, explain how you think they logically fit together (e.g., what’s your hypothesis?), then explain why a certain statistical test would be appropriate for testing your hypothesis.

I do not expect any of you to be experts in quantitative research methods at this point. However, you should be able to find studies that are similar in nature to the one you could conduct based on your writing — see what tests they used.

Then, extrapolate as to how you could use similar methods. Note, many scholars today are using very advanced statistics. Feel free to simplify, and endeavor to only use tests you actually think you understand. 🙂

Popular statistical tests include t-tests, ANOVA, and correlation and regression tests.

Finally, conjecture as to what your tests might find. If your hypothesis is correct, what relationship will the tests show between the variables? What if they are incorrect?

If possible, identify the statistic of interest that will result from using the test (p value, b value, rho, etc.).






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