Podcast
Questions and Answers
Which correlation coefficient is applicable when both Variable X and Variable Y are continuous?
Which correlation coefficient is applicable when both Variable X and Variable Y are continuous?
What type of correlation is used between a continuous variable and an artificial dichotomous variable?
What type of correlation is used between a continuous variable and an artificial dichotomous variable?
Which type of correlation is used to measure the relationship between two true dichotomous variables?
Which type of correlation is used to measure the relationship between two true dichotomous variables?
Which correlation coefficient should be used when Variable X is artificially dichotomous and Variable Y is continuous?
Which correlation coefficient should be used when Variable X is artificially dichotomous and Variable Y is continuous?
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Which correlation is appropriate for a relationship between two artificial dichotomous variable
Which correlation is appropriate for a relationship between two artificial dichotomous variable
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Match the type of Variable Y with the appropriate correlation coefficient when Variable X is continuous:
Match the type of Variable Y with the appropriate correlation coefficient when Variable X is continuous:
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Match the type of Variable Y with the appropriate correlation coefficient when Variable X is artificially dichotomous:
Match the type of Variable Y with the appropriate correlation coefficient when Variable X is artificially dichotomous:
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Match the type of Variable Y with the appropriate correlation coefficient when Variable X is a true dichotomous variable:
Match the type of Variable Y with the appropriate correlation coefficient when Variable X is a true dichotomous variable:
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Match the following correlation coefficients with their respective types of variables for Variable Y being continuous:
Match the following correlation coefficients with their respective types of variables for Variable Y being continuous:
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Match the following correlation coefficients with their respective types of variables for Variable Y being artificial dichotomous:
Match the following correlation coefficients with their respective types of variables for Variable Y being artificial dichotomous:
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Study Notes
Types of Variables
- Variable X can be classified into three types: Continuous, Artificial Dichotomous, and True Dichotomous.
Correlation Coefficients
Continuous Variables
- Pearson r is used to calculate the correlation between two continuous variables.
Artificial Dichotomous Variables
- Biserial r is used to calculate the correlation between a continuous variable and an artificial dichotomous variable.
- Tetrachoric correlation coefficient is used to calculate the correlation between two artificial dichotomous variables.
- Phi coefficient is used to calculate the correlation between two artificial dichotomous variables.
True Dichotomous Variables
- Point Biserial r is used to calculate the correlation between a continuous variable and a true dichotomous variable.
- Phi coefficient is used to calculate the correlation between two true dichotomous variables.
Psychological Assessment
Correlation Coefficients
- Pearson r is used for continuous Variable Y.
- Biserial r is used for Artificial Dichotomous (D.) and Variable Y.
- Point Biserial r is used for True Dichotomous (D.) and Variable Y.
- Tetrachoric correlation is used for Artificial Dichotomous (D.) Variable Y.
- Phi coefficient is used for both Artificial Dichotomous (D.) and True Dichotomous (D.) Variable Y.
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Description
This quiz covers the different types of variables, including continuous, artificial dichotomous, and true dichotomous, and their relationships with correlation coefficients such as Pearson r, Biserial r, and Point Biserial r.
