11 Questions
What is the standardized slope in the bivariate regression case?
.781
What is the common regression equation based on?
One regression equation for all groups
What is intercept bias in predictive bias analysis?
When the intercepts are different for different groups
Which of the following best defines predictive bias?
The degree to which a test's scores are equally predictive of an outcome for two groups
What is the formula to predict a trainee's supervisor rating based on their aptitude score?
Y = 56.03 + .58(69)
What are the two steps involved in predictive bias analysis?
Conducting a bivariate regression analysis and determining whether the test scores predict the dependent variable equally well across groups
What is the slope in bivariate regression?
The expected increase or decrease in the dependent variable (Y) as a function of an increase or decrease in the independent variable (X)
Which of the following best describes slope bias?
When two groups have the same intercept but different slopes
What is an example of outcome score bias?
When the supervisor providing the ratings is biased in favor of one group
What is the impact of differences in reliability between two groups?
It can cause differences in slopes and intercepts
What does it mean when intercept and slope biases co-occur?
There is a complex relationship between the size of predictor variable and outcome variable scores for the different groups
Study Notes
Regression Analysis
- The standardized slope in the bivariate regression case is 1.
- The common regression equation is based on the formula: Y = a + bX, where Y is the dependent variable, X is the independent variable, a is the intercept, and b is the slope.
Predictive Bias
- Intercept bias occurs when the regression line does not intersect the Y-axis at the correct point, resulting in incorrect predictions.
- Predictive bias is defined as the difference between the predicted and actual outcomes, which can be due to various sources such as slope bias, intercept bias, or outcome score bias.
Predictive Bias Analysis
- The formula to predict a trainee's supervisor rating based on their aptitude score is: Y = a + bX, where Y is the supervisor rating, X is the aptitude score, a is the intercept, and b is the slope.
- The two steps involved in predictive bias analysis are:
- Examining the regression line to identify potential biases
- Evaluating the impact of differences in reliability between two groups
Slope Bias
- Slope bias occurs when the regression line has a different slope for different groups, resulting in incorrect predictions.
- The slope in bivariate regression represents the change in the dependent variable (Y) for a one-unit change in the independent variable (X), while controlling for other variables.
Outcome Score Bias
- Outcome score bias occurs when the scores of the outcome variable are not equally valid across different groups.
Co-occurrence of Biases
- When intercept and slope biases co-occur, it means that the regression line has both an incorrect intercept and an incorrect slope, resulting in inaccurate predictions.
Test your knowledge on Predictive Bias with this quiz! Learn about the degree to which a test's scores are equally predictive of an outcome for different groups and understand how predictive bias analyses are conducted. This quiz is ideal for individuals interested in assessment and evaluation.
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