ANOVA and the Control for Essential Variables
Let’s say you were working on a project examining the effects of studying on test grades. You have three groups that you are comparing—one with learners who didn’t study at all, one with learners who studied two hours or less, and one that studied more than two hours. You run an ANOVA that shows that learners who didn’t study at all had the highest scores on the test. This leaves you somewhat puzzled. How might you explain this result? What factors might you need to control for to make sure you got it right? Share your thoughts and information in Yellowdig. Give your post a hashtag in the body (for example, #screwystats).
Which outside resource (image, video, article) is a good example of when a researcher did not control for essential variables? Share the link within your post. What struck you the most about this example?
What about this week’s content is relevant to your own professional or academic career?
7864 Week 7 Discussion
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#VariableControl
Students take different amounts of time to study, and this may affect their test scores on evaluations. The amount of time spent on learning is the independent variable affecting test score outcomes or results. This particular case comprises three groups of students with varying control of the independent variable (learning) affecting their scores. The first group does not study at all, the second takes a maximum of two hours to learn, and the other takes at least two hours to study. Typically, the group that takes more hours to study would have higher test scores. However, the ANOVA, which implies a statistical approach that distinguishes observed variance data into various components to utilize more tests, shows that the group that does not study at all gets higher scores. ANOVA is used on the basis of at least three datasets to seek information concerning the association between the independent and dependent variables. The above results could be attributed to a lack of control in the measurement errors when running an ANOVA. Hence, there ...