Compare and contrast correlational and experimental research by designing two types of studies that aim to answer the same quest

Question

3 years ago

14

Compare and contrast correlational and experimental research by designing two types of studies that aim to answer the same quest

ion:
“How does sugar affect the attention of small children?”

1. Identify the Independent Variable for the question above (2pts):
2. Identify the Dependent Variable for the question above (2pts):
3. Using the question above, how would you design a correlational study (there are different types - refer to observational research in your notes) to obtain data that helps respond to the given question? Give specific detail regarding how you organize the study and collect the data. Keep in mind the characteristics of a correlational study and how it differs from experimental research. (5pts)

Biology

2 answers:

3241004551 [841] · Answer 1 · 2022-05-18T18:51:06+03:00

Answer:

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between variables. The correlation coefficient is usually represented by the letter r.

Explanation:

tensa zangetsu [6.8K] · Answer 2 · 2022-05-18T21:05:02+03:00

Answer:

The other person is right, if anything he came up with the explanation, so therefore I think you should give him brainliest. Also I think that what he said is right

Explanation:

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between variables. The correlation coefficient is usually represented by the letter r.