In correlational research, the types of variables that are typically measured include the Predictor variable and the Confounding variable.

1. Predictor Variable: This is the variable that you think will forecast or predict an outcome. In correlational research, you are looking at the relationship between two or more variables, and the predictor variable is the one you expect to be influencing the other variables.

2. Confounding Variable: This is a variable that you didn't account for, and it can affect the relationship between your predictor variable and the outcome. It's called a confounding variable because it can "confound" your results, making it unclear whether the effects you are seeing are due to the predictor variable or the confounding variable.

The Independent variable is typically measured in experimental research, not correlational research. This is the variable that the researcher manipulates to see if it causes a change in the dependent variable.

Extraneous variables are any variables other than the independent variable that could cause a change in the dependent variable and thus affect the results of the experiment. They are not typically measured in correlational research.

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In correlational research, the types of variables that are typically measured include the Predictor variable and the Confounding variable.

1. Predictor Variable: This is the variable that you think will forecast or predict an outcome. In correlational research, you are looking at the relationship between two or more variables, and the predictor variable is the one you expect to be influencing the other variables.

2. Confounding Variable: This is a variable that you didn't account for, and it can affect the relationship between your predictor variable and the outcome. It's called a confounding variable because it can "confound" your results, making it unclear whether the effects you are seeing are due to the predictor variable or the confounding variable.

The Independent variable is typically measured in experimental research, not correlational research. This is the variable that the researcher manipulates to see if it causes a change in the dependent variable.

Extraneous variables are any variables other than the independent variable that could cause a change in the dependent variable and thus affect the results of the experiment. They are not typically measured in correlational research.

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In correlational research, the types of variables that are typically measured include the Predictor variable and the Confounding variable.

1. Predictor Variable: This is the variable that you think will forecast or predict an outcome. In correlational research, you are looking at the relationship between two or more variables, and the predictor variable is the one you expect to be influencing the other variables.

2. Confounding Variable: This is a variable that you didn't account for, and it can affect the relationship between your predictor variable and the outcome. It's called a confounding variable because it can "confound" your results, making it unclear whether the effects you are seeing are due to the predictor variable or the confounding variable.

The Independent variable is typically measured in experimental research, not correlational research. This is the variable that the researcher manipulates to see if it causes a change in the dependent variable.

Extraneous variables are any variables other than the independent variable that could cause a change in the dependent variable and thus affect the results of the experiment. They are not typically measured in correlational research.

Which of these types of variables is measured in correlational research?1 分Extraneous variableIndependent variablePredictor variableConfounding variable

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