Select all that applyFor what reasons might researchers use correlational research? Multiple select question.to investigate real-world eventsto determine if there is a causal link between two variablesto work with variables that can only be measured or observedto conduct research in situations in which it would not be ethical to carry out an experiment
Question
Select all that applyFor what reasons might researchers use correlational research? Multiple select question.to investigate real-world eventsto determine if there is a causal link between two variablesto work with variables that can only be measured or observedto conduct research in situations in which it would not be ethical to carry out an experiment
Solution
Researchers might use correlational research for the following reasons:
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To investigate real-world events: Correlational research allows researchers to analyze the relationship between two or more variables in their natural environment, without any manipulation or control. This makes it particularly useful for studying real-world events.
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To work with variables that can only be measured or observed: In some cases, the variables of interest cannot be manipulated for ethical or practical reasons. In such cases, researchers can use correlational research to study the relationships between these variables.
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To conduct research in situations in which it would not be ethical to carry out an experiment: There are certain situations where it would not be ethical or feasible to conduct an experiment. For example, it would not be ethical to deliberately expose people to harmful substances just to see the effect. In such cases, correlational research can be used to study the relationships between variables.
However, correlational research is not used to determine if there is a causal link between two variables. While correlational research can identify if a relationship exists between two variables, it cannot determine whether one variable causes the other to occur. This is because other unknown variables may be involved, which is known as the problem of third variables or confounding variables.
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