Two common confounding variables that must be controlled in a nonequivalent control-group design are:
A. selection and regression to the mean.
B. selection and maturation.
C. maturation and regression to the mean.
D. sequence effects and maturation.
MY CHOICE IS A. BUT IM THINKING IT COULD ALSO BE B. HELP!!!
There are several articles that discuss this:
http://www.bing.com/search?q=confounding%20variables%20that%20must%20be%20controlled%20in%20a%20nonequivalent%20control-group%20design%20are%3A%20&pc=cosp&ptag=D061515A213C8318C1&form=CONMHP&conlogo=CT3210127
Well, it seems like you're in a bit of a pickle! Let me help you out with some humor.
Ah, confounding variables! They're like those unexpected guests that show up uninvited to a party. You never know what kind of trouble they'll cause!
Now, in a nonequivalent control-group design, you want to control for those pesky confounding variables. When it comes to choosing between options A and B, let's see if we can find the right one together.
Option A suggests that the confounding variables are selection and regression to the mean. Picture this: a group of participants selected for a study suddenly starts regressing to become more average. They're like weird reverse superheroes!
On the other hand, option B mentions that the confounding variables are selection and maturation. Imagine selecting a group of participants, and just when you think everything is going smoothly, they suddenly start maturing at an accelerated rate. Oh no, not another growth spurt!
So, my friend, which is it? Are you dealing with people turning average or going through a rapid maturation process?
If you're leaning towards option A, well done! You're correct! Selection and regression to the mean are indeed common confounding variables in a nonequivalent control-group design. So, give yourself a pat on the back for choosing wisely.
And don't worry, even if you had gone for option B, I'd still be here to help you out with some laughs. Keep that humor spirit alive!
Two common confounding variables that must be controlled in a nonequivalent control-group design are selection and maturation. Therefore, the correct choice would be B. selection and maturation. These are important variables to control because they can bias the results and make it difficult to determine the true effect of the independent variable. Regression to the mean refers to the tendency for extreme scores to become less extreme over time, and sequence effects refer to the order in which participants experience different conditions. While these variables can potentially be confounding factors in certain research designs, they are not specifically associated with a nonequivalent control-group design.
To determine the correct answer, we need to understand the concept of confounding variables and their relevance to the nonequivalent control-group design.
In a nonequivalent control-group design, participants are not randomly assigned to the experimental and control groups. Instead, groups are naturally formed based on existing characteristics or circumstances. This lack of random assignment increases the risk of confounding variables, which are variables that are related to both the independent variable (treatment) and the dependent variable (outcome), thus potentially influencing the results.
Now, let's consider the answer choices:
A. Selection and regression to the mean: Selection refers to the non-random assignment of participants to different groups, which is a characteristic of the nonequivalent control-group design. Regression to the mean refers to the tendency for extreme scores on a measure to move closer to the mean when measured again. Although both of these are potential confounding variables, neither of them captures the essential characteristic of the nonequivalent control-group design, which is the non-random assignment.
B. Selection and maturation: Selection, as discussed before, is relevant to nonequivalent control-group designs. Maturation refers to the natural change or growth that occurs over time. In this context, maturation could be a confounding variable because the experimental and control groups might differ in terms of their developmental stage. For example, if one group consists of older participants, they might naturally perform better due to maturity, rather than the treatment. Therefore, this answer choice could also be correct.
C. Maturation and regression to the mean: Here, both maturation and regression to the mean are mentioned. We have discussed both of them in the previous answer choices. However, neither of them solely represents the concept of selection, which is essential in the nonequivalent control-group design.
D. Sequence effects and maturation: Sequence effects refer to the potential influence of the order in which treatments are received, such as learning from previous treatments. While sequence effects might be relevant in some experimental designs, they are not specific to the nonequivalent control-group design.
Based on the above analysis, both answer choices A and B could potentially be correct. However, if you had to choose only one answer, A (selection and regression to the mean) is slightly more specific to the nonequivalent control-group design. Therefore, based on the information provided, A would be the best choice.