Explain why the results of correlational research can be used for prediction purposes.
What will be an ideal response?
Ans: Answer would ideally include: The basis for our ability to predict the value on one variable if we know the value on another variable is that we are capitalizing on the quantitative measure of the relationship that exists between the two. There will typically be some degree of error inherent in our prediction; only in situations where the relationship is perfect (i.e., the correlation coefficient is equal to –1.00 or +1.00) will we be able to predict the value of a second variable with 100% accuracy. The degree of predictive accuracy is determined by the magnitude of the correlation coefficient; the greater the absolute value of the coefficient (i.e., the closer the |r| is to 1.00), the more accurately the value of one variable can be predicted from the other.
Learning Objective: 7-4: List and describe the steps and procedures in conducting survey, correlational, causal-comparative, quasi-experimental, experimental, and single-subject research | 7-5: Identify and discuss the strengths and limitations of various approaches to conducting quantitative research
Cognitive Domain: Application
Answer Location: Nonexperimental Research Designs
Difficulty Level: Medium
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What will be an ideal response?
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