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Recruitment
Attracting applicants who fit the job and culture, while meeting legal and diversity obligations
Three goals of recruitment
More applicants, more QUALIFIED applicants, more workforce diversity
Four recruitment methods
Career websites, social networking sites, employee referrals, career fairs
How recruitment methods differ
Cost, diversity of applicants, and how much job info they can share
Four factors that attract applicants
Job and organization traits, recruiter behavior, perceived fit, organization image
Why validity matters in selection
Low validity is pointless. High validity finds top talent. In the U.S. it defends tests that show adverse impact
Content validity
The test samples the KSAOs the job requires. Based on job analysis and expert (SME) opinion. Works with small samples
Construct validity
The test shows the expected pattern of relationships with other measures
Criterion-related validity
The test score is statistically related to job performance
Validity coefficient
The correlation between test scores and job performance
Why use multiple regression in selection?
To find the best way to combine several predictors
Predictive validity study
Test applicants, wait, then compare scores to the job performance of those hired
Concurrent validity study
Test current employees and compare scores to their current performance
Advantages of concurrent validity
Faster and easier. Results end up about as good as predictive
Advantages of predictive validity
Uses the real applicant group. Less hurt by range restriction
Range restriction
Test scores don't vary much, which weakens the observed correlation
Validity generalization
A test valid for one job is assumed valid for similar jobs
Situational specificity
A test valid in one setting can't be assumed valid in another, even a similar one
Who supports validity generalization vs. situational specificity?
Psychologists support generalization. Courts and the Uniform Guidelines support situational specificity
Uniform Guidelines (1978)
Rules on validating tests. Treated like law. Apply to employers with 15 or more employees
Title VII (1964) protects…
Race, color, sex, religion, national origin
Age Discrimination in Employment Act (1967) protects…
People over 40
Rehabilitation Act (1973) protects…
People with mental and physical disabilities
Immigration Reform and Control Act (1986) protects…
National origin
Americans with Disabilities Act (1990) protects…
People with mental and physical disabilities
Civil Rights Act of 1991
Covers the same groups as Title VII and banned within-group norming
Within-group norming
Adjusting scores within groups to reduce adverse impact. Banned in 1991
EEOC
The government agency that monitors equal opportunity in hiring and pay
EEOC's recent priorities
Unlawful DEI, "biological and binary" sex, anti-Christian bias, anti-American national origin bias
Protected group
Any group the law protects, like women or people over 40
Executive orders
Presidential orders covering federal contractors' employment practices
State laws
States can add extra protections
Three steps of an adverse impact case
1) Plaintiff shows adverse impact 2) Employer shows validity 3) Plaintiff shows equally valid, less discriminatory options existed
Adverse impact case, Step 1
Plaintiff shows adverse impact
Adverse impact case, Step 2
Employer shows the test is valid
Adverse impact case, Step 3
Plaintiff shows equally valid, less discriminatory options existed
4/5 (80%) rule
Protected group's selection ratio must be at least 80% of the other group's
Selection ratio (for the 4/5 rule)
Number hired divided by number who applied, for each group
How to do the 4/5 rule
1) Hired / applied for each group. 2) Divide protected group's ratio by the other group's. 3) Under 80% = violation
4/5 rule example 1
9 of 100 Black applicants hired (.09). 100 of 1,000 White applicants hired (.10). .09 / .10 = 90%, so no violation
4/5 rule example 2
70 of 100 Black applicants hired (.70). 900 of 1,000 White applicants hired (.90). .70 / .90 = 78%, so violation
Recruitment funnel (textbook)
More applicants lets the organization be more selective
Why recruit a diverse pool? (textbook)
You can't hire a diverse workforce from a pool that isn't diverse
Employee referrals (textbook)
Bring qualified applicants who know the organization, but may attract people just like current employees
Passive candidates (textbook)
Talented people not looking for work, often found through LinkedIn
Word of mouth and image (textbook)
Early positive word of mouth predicts applying. Ads alone can't manage an organization's image
Video vs. text testimonials (textbook)
Employee testimonials attract applicants better as video than as text
Validity as a unitary idea (textbook)
Best seen as one concept with several kinds of evidence, not three separate types
Documenting content validity (textbook)
SMEs sign off on items and rate how job-related they are
Concurrent validity limitation (textbook)
Current employees may be less motivated than applicants and have already learned job skills
Why range restriction hits concurrent studies (textbook)
The sample only includes people who scored high enough to be hired and performed well enough to stay
Cross-validation (textbook)
Confirming validity results with a second sample
Shrinkage (textbook)
The R-squared is smaller in the second sample than in the original
Empirical vs. statistical cross-validation (textbook)
Empirical = test the weights on a second sample. Statistical = use the software's adjusted R-squared
Sample size and validity studies (textbook)
Bigger original samples give more accurate results
Synthetic validity (textbook)
Jobs share a performance dimension (like dependability), so a test validated for one can be used for the other
Ghiselli vs. Schmidt and Hunter (textbook)
Ghiselli found validity varied by study. Schmidt and Hunter showed that was due to statistical issues like small samples
Test valid for one job, used for a different job (textbook)
Revalidate if the KSAs differ. A mechanical test validated for mechanics needs a new study for customer service reps
Case law (textbook)
Law created by court decisions
Griggs v. Duke Power (1971) (textbook)
First case to imply job analysis should be part of validating selection procedures
Who wrote the Uniform Guidelines? (textbook)
EEOC, Department of Labor, Civil Service Commission, Department of Justice
Age law size limits (textbook)
Federal age law covers employers with more than 20 employees. Michigan and some other states have no minimum
What counts as a "selection procedure"? (textbook)
Any procedure used for hiring, including promotion decisions and training that leads to hiring or promotion
Who does discrimination law protect? (textbook)
Everyone. For example both men and women, and any race
Disparate treatment vs. adverse impact (textbook)
Disparate treatment = intentional. Adverse impact = no intent needed, a test just favors one group
Why many illegal practices go unchallenged (textbook)
Applicants usually have to act first, like reporting to the EEOC
Limits of the 4/5 rule (textbook)
It is a simple court rule, not statistical theory. Better statistical tests exist
Best way to avoid adverse impact lawsuits (textbook)
Use valid procedures with low adverse impact, and monitor results
What employers can't do to reduce adverse impact (textbook)
Within-group norming, or give preferential treatment in hiring
Affirmative action in the U.S. (textbook)
Should mean extra recruiting, not preferential treatment
AI and adverse impact (textbook)
Algorithms trained on past decisions can repeat past bias