Explain why it is important to have good randomization before introducing an intervention when conducting a randomized control trial.

Module 10 Assignment

This assignment will allow you to apply the knowledge you gained throughout the Module 10 reading, videos, and lecture. As you learned, randomized control trials (RCTs) are the gold standard for testing causal relationships. This activity will help you apply the knowledge you have gained about RCTs and the importance of happy randomization in interpreting the validity of your RCT findings.

For this activity, download the Excel spreadsheet and follow these steps:
1) Using some type of randomization procedure (e.g., random number table or coin flip), assign each of the participants in table 1 to either the control condition or to the intervention group. Put the number 0 in the column next to participants in the control condition and a 1 next to participants in the intervention condition.
2) Sort the data by the column condition so that the control group and intervention group are stratified (grouped together).
3) Compute the mean and standard deviation for the control group. Note: The mean can be calculated by entering the function =AVERAGE in an empty cell and highlighting the data you would like to include and then clicking enter. Similarly, the standard deviation can be calculated by entering the function =STDEV in an empty cell and highlighting the data you would like to include and then clicking enter.
4) Following these same steps, compute the mean and standard deviation for the intervention group
5) Compute a t-test to compare the means for the two groups. Note: You can do this by hand and look up the p-value using a table for independent samples t-tests OR you can use the t-test calculator at this site: https://www.usablestats.com/calcs/2samplet&summary=1. If you use this site, enter the means, standard deviations, and sample sizes for the two groups and hit submit.
Answer the following questions:
1) List the mean and standard deviation found for both the control and intervention groups.
2) Are the means for the two groups significantly different? Note: You can tell this from looking at the p-values at the bottom of the table. As a reminder, if any of the p-values are less than .05, the means significantly differ.
3) Did your randomization procedure work to produce two equivalent groups? Why or why not?
4) Explain why it is important to have good randomization before introducing an intervention when conducting a randomized control trial.
a. What is the role of randomization?
b. How would bad or unhappy randomization threaten your findings?
c. What could you do if you have unhappy randomization?
This assignment is worth 70 points (see rubric below) and focuses on MLO1 3.

Students are expected to use professional tone/language, as well as proper spelling, grammar, and mechanics. Your responses should be saved as a Microsoft Word document. Responses should be in APA format (e.g., double-spaced, 1 margins, legible font). A reference list is not required for this assignment.

Module 10 Assignment Rubric:

Excellent Good Fair Poor Did not complete
Assignment Requirements (55 points) 55 50 40 20 0
Quality (15 points) 15 12 9 5 0
Total Points: /70

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