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A correlational survey or study determines if two or more variables are correlated. It helps you determine the specific relationship between the variables.

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10y ago

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Name the four methods a psychologist uses to gather data?

a correlational strategy naturalistic obsevation the survey technique Gallup poll.


Is Sandra L Bem's study on androgyny considered to be correlational or experimental?

Correlational


Correlational study is it cause and effect?

No correlational study is not cause and effect because correlation does not measure cause.


Correlational research is useful because it can?

i


Is correlational study qualitative or quantitative?

quantitative.


What are the two methods of research in psychology?

Experimental and correlational


Correlational research is most useful for purposes of?

Prediction.


How does experimental research differ importantly from correlational research methods?

how does experimental research differ importantly from correlational research methods Correlational Research are predictions and are mostly based on statistics. Whereas Experimental Research is based on experiment and explaination.


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What are the advantages of the correlational method?

The advantage of the correlational research method is the ability to prove a positive or negative correlation between two subjects . The disadvantage of this is the unclear interpreation of cause and affect. moletsane


What did William Harvey use correlational design to discover?

Correlational design is a procedure where two variables are measured, without manipulation, to determine if there is a relationship. He used correlational design to describe, in detail, the systematic circulation and properties of the blood.


Which of the following methods is most helpful for revealing cause-effect relationships A the survey b the experiment c correlational research d naturalistic observation?

The experiment is the most helpful for revealing cause-effect relationships. In an experiment, researchers can manipulate variables and control for confounding factors to establish a direct relationship between the independent and dependent variables. This allows researchers to determine causality more confidently compared to other methods such as surveys, correlational research, or naturalistic observation.