Chapter 7 Flashcards
Bias in personnel decisions can include…
age, gender, even attractiveness!
Roth et al.
2019 study, facebook posts were evaluated.
Results: job applicant was evaluated more positively when the rater’s political affiliation “matched” the applicant (e.g., D rater and D applicant) compared to when the rater’s political affiliation did not match (e.g., D rater and R applicant)
What works for VA whistleblowers?
Office of Special Counsel
Social media screening is becoming…
more common!
What was surprising about Roth et al. results?
even when the applicant was better qualified, if there was a mismatch in political affiliation the applicant was rated more negatively.
Implications of Roth et al.
Political affiliation matters and the positive and negative feelings an evaluator has toward an applicant matter even more.
4 Unethical uses of AI
- Cyber-snooping
- Withholding feedback
- Predicting biased outcomes
- Black-box selection
selection battery
a set of predictors, or tests, that are used to make employee hiring decisions
recruitment
The process of encouraging potentially qualified applicants to seek employment with a particular company.
person–environment (PE) fit
The agreement or match between an individual’s KSAOs and values and the demands of a job and characteristics of an organization.
Eye tracking provides
an objective indicator of attention—where do participants focus their attention when looking at and navigating a website?
Students focus on…
text, particularly text with hyperlinks, more than they fixated on graphics or navigation instructions.
Most attracts readers
hyperlinked text
cybervetting
The use of social media as part of background investigations used to make employee selection decisions.
racioethnicity
racial or ethnic differences across people
racioethnic identity
the extent to which an individual’s self-concept is defined by membership in a particular racioethnic group
a company will be more likely to attract job seekers who value diversity if…
that company can demonstrate that it has similar values around diversity
Predictive validation
studies investigate how effective our predictors are at forecasting the on-the-job performance of applicants
Predictive Validity Steps
- Gather predictor data on all of the applicants.
- Hire some of the applicants to fill the open positions.
- After several months, gather performance data that can serve as the criteria for our validation study.
- Compute a validity coefficient between the predictor score and the criterion score that indicates the strength of the relationship between our predictor and our criterion.
criterion-related validity
the extent to which a test is a good predictor of criteria such as job performance.
criterion-related Validity Steps
- Collect data on both predictors and criteria from incumbent employees at the same time
- Compute a validity coefficient between the predictor score and the criterion score
validity shrinkage
A statistical phenomenon reflecting the likelihood that a given selection battery will demonstrate lower validity when employed with a different sample
validity generalization (VG)
A statistical approach used to demonstrate that test validities do not vary across situations.