Pretest Blood Glucose Aaron 130
L10 X V fx D E F A B Condition (0=control; Subject 1=intervention) Pretest Blood Glucose Aaron 130 W Bets 142 Craig 200 Debbie 400 VOUAWN Eric 250 Frank 268 00 9 Georgia 321 10 8 Henry 128 134 11 9 Isabelle 12 10 lack 230 13 11 Kelsey 240 14 12 Liam 296 15 13 Mark 241 16 14 Natalie 302 17 Oscar 169 15 18 16 Patricia 175 19 17 Quincy 246 20 18 Rachel 321 21 19 Steve 333 22 20 Tina 215 23 21 Ulram 178 24 22 Vicky 265 25 23 Walter 312 26 24 Xio 369 27 25 Yancy 130 28 26 Zane 129 29 30 31 32
Description The Randomized Control Trial (RCT) is the “Gold Standard” for testing causal relationship. This activity will help you to apply the knowledge you have gained about RCTs and the importance of “happy randomization” for the validity of your RCT findings. Summary of Learning Objectives The student will explain where causal research fits into health promotion research and practice, identify the necessary conditions for causation and the characteristics of an experiment, and differentiate between quasi- experimental and experimental research designs. Procedures 8: Requirements For this activity, download the excel spreadsheet attached and follow these steps: 1) Using some type of randomization procedure (e.g., use a random number table or simply flipping a coin with heads assigned to the control group and tails assigned to the intervention group), assign each of the subjects in table 1 to either the control condition or an intervention condition. Put the number 0 in the column next to the control condition subjects and a 1 next the intervention subjects. 2) Sort the data by the column “condition” so that the control group and the intervention group are stratified (grouped together). 3) Compute the mean and standard deviation for the control group 4) Compute the mean and standard deviation for the intervention group. 5) Compute a t—test to compare the means for the two groups. a. 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/25amplet&summary=1) i. Enter the means and SD for the two samples and hit “submit" ii. Hint: look at the P—values at the bottom of the table produced when you click on “cl Ihmif”
Answer the following questions:
Are the means for the two groups significantly different?
Did your randomization procedure “work” to produce two equivalent groups?
a. Why or why not?
3. Explain why it’s 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?
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