Chapter 11 Quiz HR
The ________ approach means that selection decisions means that scores on one predictor can make up for low scores on another.
compensatory model
An applicant who is not hired but who would have performed successfully if hired is a ________.
False Negative
An applicant who is hired but does not perform successfully is a ________.
False positive
When using ________, each finalist has an equal chance of being selected.
Random selection
When using ________, finalists are ordered from the most desirable to the least desirable based on results of discretionary assessments.
Ranking
Although Kano analysis cannot quantify economic gains from a change in focus, it is useful for assessing which areas of the selection system should be improved for maximum impact on performance outcomes.
True
HR professionals have access to data related to predictor-outcome relationships, and therefore can quantify which current selection systems are most effective in meeting operational goals.
True
The predictive analytics approach uses a regression-based approach to estimate how much potential changes in staffing procedures could influence performance-relevant outcomes.
True
The two options the UGESP recommends for minimizing adverse impact are use of within-group norming and banding.
True
When deciding whether or not to use a new predictor, the validity coefficient, the base rate, and the selection ratio should be considered in combination, not independently.
True
Research suggests which of the following about multi-stage selection procedures?
Using a variety of selection tools together can maintain high validity while maintaining comparatively lower adverse impact
In terms of who should participate in selection decision making (i.e., HR professionals vs. line managers), HR professionals would be least likely to ________.
make the hiring decision
Which decision makers are best able to develop a philosophy of staffing systems that will link to the organization's strategy?
organizational leaders
Which of the following best fits the definition of predictive analytics?
using regression analysis to predict how much performance indicators will change if staffing policies are changed