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Employment Law

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Civil Rights Act - designed to reduce unfair discrimination against minorities. ... discrimination. Court ruled that Whites can be victims of discrimination as ... – PowerPoint PPT presentation

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Title: Employment Law


1
Employment Law
  • For many years I/O psychologists governed
    themselves.
  • Civil Rights Movement
  • Civil Rights Act - designed to reduce unfair
    discrimination against minorities.
  • Title VII specifies unlawful employment
    practices.
  • Employers may not hire or refuse to hire on the
    basis of the five protected groups.
  • Organizations cannot indicate a preference for
    members of a particular group in employment or
    training advertisements.
  • Protected groups race, sex, religion, color,
    national origin (later age).

2
Disparate Treatment
  • Disparate Treatment - Refers to evidence that a
    member of a protected group is treated
    differently from other job applicants in the
    employment process.
  • All job applicants should receive the same
    treatment with regard to selection methods and
    hiring standards.
  • Singling out some applicants for different
    employment procedures is evidence of disparate
    treatment.
  • Example, only female police officer applicants
    are given a physical abilities test.

3
Adverse Impact
  • Adverse Impact - discrimination against members
    of a particular group.
  • Example - an organization uses a selection
    measure that leads to the hiring of many more
    Whites than African-Americans.
  • 80 or 4/5ths rule
  • Adverse impact occurs if the selection ratio for
    any group of applicants is less than 80 of the
    selection ratio for another group.
  • What happens if adverse impact is found to exist?
  • The organization is obligated to use another
    selection method that does not produce adverse
    impact or to validate the test.
  • Even if the test is valid, the organization is
    obligated to try and find a selection method(s)
    that dont produce adverse impact (or less) and
    have comparable validity.

4
Court Cases
  • Griggs v Duke Power (1971)
  • Determined that individuals who bring suit
    against a company do not have to prove that the
    companys employment test is unfair. The company
    has the burden of proof.
  • Bakke v. University of California
  • Reverse discrimination. Court ruled that Whites
    can be victims of discrimination as well as
    African-Americans.
  • Watson v Fort Worth Bank
  • Cost of alternative selection procedures must be
    considered in making decisions about selection
    methods.
  • Wards Cove Packing Company v Antonio
  • Shifted the burden of proof to the individual
    filing the suit.

5
Americans with Disabilities Act
  • Extended protection to individuals with
    disabilities.
  • Disability defined as, a physical or mental
    impairment that substantially limits one or more
    (of the) major life activities a record of such
    impairment or being regarded as having such an
    impairment.
  • An employment test that screens out an individual
    because of factors related to his or her
    disability must be job-related and consistent
    with business necessity.
  • Employers must provide disabled persons
    reasonable accommodation in being evaluated for
    employment and in the conduct of their jobs.
  • Most accommodations are minor and cost under 50.

6
Recruitment
  • Recruitment is the process of attracting people
    to apply for a job.
  • Basic principle - the more applicants, the better
    chance there is of finding a strong applicant.
  • Why is recruiting important?
  • Influences the quality of applicants.
  • The hiring process is expensive, want to do it
    right the first time.
  • The process can influence whether an applicant
    decides to accept a job, their attitudes once in
    the company, and how they view the company (even
    if not hired).

7
Recruitment (cont.)
  • To reduce turnover, a company should put forth
    both a good and an accurate impression.
  • Realistic Job Preview (RJP)
  • Attempts to give potential applicants a realistic
    view of the job and/or company.
  • Might be a video tape, written information, or
    part of a visit.
  • Mixed results
  • Lower expectations
  • Higher commitment (less turnover)

8
Affirmative Action
  • Designed to correct previous and current
    inequities in workforce composition. It also
    provides role models and promotes diversity.
  • Recruiting application - aiming recruiting
    efforts at audiences consisting of target groups.
  • Preferential selection - organizations will
    select minority members if they are judged to
    have equal or better qualifications as
    nonminority members.
  • Quotas - some organizations set aside a certain
    number of positions for minorities or base
    decisions on percentages of members in the
    organization.

9
Affirmative Action (cont.)
  • Affirmative action is not required by law, but
    may be required in specific cases (e.g.,
    government contracts).
  • Advantages
  • Minority members are often underrepresented in
    the workforce, especially in certain jobs and
    positions. Affirmative action can balance the
    workforce.
  • Disadvantages
  • Research has found that affirmative action may
    have a negative effect on how others in the
    organization view an individual and the
    individuals view of him or herself (e.g.,
    self-esteem).
  • Overall conclusion the effects of AA are complex.

10
Selection
  • Regression
  • A tool for predicting one variable (e.g.,
    criterion) from another (e.g., predictor).
  • Typical regression equation
  • Y a bX
  • Y predicted criterion score (sales in ).
  • X predictor score (extraversion score on the
    NEO).
  • b slope of regression line (mathematical
    constant)
  • a intercept of regression line (point where
    line crosses Y-axis)
  • Example

11
Selection
  • Multiple Regression
  • Two predictors are better than one
  • Regression using 2 or more predictors.
  • Y a b1X1 b2X2
  • Example
  • When using multiple regression, it is best if
    your predictors relate strongly to the criterion
    but not to one another. You want as little
    overlap as possible between your predictors.
  • It is difficult to find predictors that relate to
    the criterion but not one another (intelligence
    and personality have low intercorrelation which
    makes them good to use together.)

12
Selection Factors
  • Selection Ratio
  • Calculated by dividing the number of job openings
    by the number of applicants.
  • A predictor is more valuable with smaller
    selection ratios. Smaller selection ratios allow
    you to be more picky.
  • Base Rate
  • Percentage of employees in the job deemed to be
    successful.
  • Example - On an assembly line, workers must
    assemble a small portion of a toy at a rate of 2
    per minute. If they are slower, they will cause
    backups. A work sample indicates that 25 out of
    40 applicants are capable of this speed. Thus,
    the base rate is 25/40 which equals .625.
  • A predictor is more valuable when the base rate
    is close to .50.

13
Selection Factors
  • Criterion-related validity
  • This is the validity of the predictor. In other
    words, the extent to which the predictor is
    related to (correlates with) the criterion.
  • Example - a computer software company is
    evaluating a programming test and a personality
    test for selection. The company can only afford
    to administer one test. The programming test is
    correlated .60 with job performance, and the
    personality test is correlated .20 with job
    performance. Thus, the programming test has
    higher validity.
  • The higher the validity, the better.

14
Selection Decisions
  • If a predictor has less than perfect validity
    (correlation is less than 1.00), there will be
    errors.
  • There are two types of errors
  • People who are hired and wont perform well.
  • People who are not hired and would have performed
    well.
  • We can create a 2 x 2 matrix that compares what
    the predictor tells us and what the truth is in
    reality.

15
Use of Predictor Scores
  • Top-down selection
  • The number of people selected depends on the
    number of spaces that need to be filled. The
    individual with the highest score is selected
    first, and you work down until all the spaces are
    filled.
  • Cutoff Scores
  • Many organizations use cutoff scores to select
    applicants. Usually to ensure that all employees
    have a minimal level of competence.
  • Most often, a combination of these two techniques
    is used.

16
Creating Cutoff Scores
  • Predictor cutoff can be set by the criterion
    cutoff.
  • Example, a small basket company determines that
    its workers should be able to make at least 20
    baskets in a day. Its selection test (e.g., a
    measure of motor skills) has the following
    relationship with basket-making Y 4 .5X.
    Therefore, the predictor cutoff is set at 32 (4
    .5(32) 20).
  • Predictor cutoff can be determined for
    theoretical reasons.
  • Example, a test given to salespeople is based on
    product knowledge. The company believes that in
    order to be successful, the salespeople should be
    able to answer all of the 30 most frequently
    asked customer questions. Thus, the company sets
    the cutoff at 30 out of 30.

17
Creating Cutoff Scores (cont.)
  • A cutoff can be determined by the outcomes in
    will cause (e.g., the number of people who need
    to hired).
  • Example - a company with very high turnover hires
    customer support personnel at regular 3 month
    intervals. They usually need about 10 new
    employees. A predictor cutoff of 70 means that
    (on average) 10 people are hired. So, the
    company sets the cutoff at 70.
  • Banding
  • A technique used to avoid adverse impact.
  • Based on the premise that because tests arent
    completely reliable, people who score close to
    each other are equally skilled.
  • Very controversial
  • The government has prohibited the use of banding
    on some of its tests.

18
Multiple Predictors
  • Selection Strategies for Multiple Predictors
  • Multiple Regression
  • 2 or more selection tests are weighted and added
    together.
  • Remember Y a b1X1 b2X2
  • This method assumes that the predictors can
    compensate for one another.
  • Multiple cutoffs
  • Applicants must score above a set level on each
    criterion.
  • This method does not assume the predictors can
    compensate for one another.
  • Rather, there is a minimum level on each
    predictor required for job performance.
  • In this method, the predictors are all usually
    gathered and analyzed together (at the same time).

19
Multiple Predictors (cont.)
  • Selection Methods for Multiple Predictors
  • Multiple Hurdle
  • Applicants must pass each test to continue the
    selection process.
  • Advantages many applicants save time, because
    they are rejected without completing all the
    tests. The company can also save a lot of money
    by shortening the process for many applicants and
    also using least expensive tests up front.
  • Civil service often uses this selection method.

20
Concurrent Predictive Validity
  • Concurrent - predictor and criterion are assessed
    at roughly the same time.
  • Less realistic - current employees are not
    motivated to pass.
  • Range restriction - all current employees are
    performing the job and should score high on the
    predictor. You are probably sampling the top
    part of the distribution.
  • Predictive - predictor is assessed at Time 1 and
    criterion is assessed at Time 2.
  • Expensive.
  • Time-intensive
  • May not fix the range restriction problem.

21
Validity Generalization
  • Does a good predictor in one situation also work
    well in another situation?
  • Why do we care? Validation cost a great deal of
    money and requires large sample sizes. Sometimes
    it is not feasible to validate a test.
  • So, we validate it based on previous findings.
  • In general, the more similar the situations, the
    better a test will generalize.
  • Some tests are more universal than others
    Intelligence tests vs. job knowledge tests.

22
Utility
  • What (monetary) factors should a company take
    into account to determine whether or not to use a
    selection test or battery?
  • Researchers have developed formulae for
    determining the economic utility of a test.
    Based mainly on the cost of turnover (e.g.,
    hiring new employees).
  • Individuals in organizations actually are less
    likely to endorse a selection system if it is
    accompanied by economic utility information.
  • My guess - this is due to the huge numbers given.

23
Summary
  • Most important factors
  • Cost of test development and administration.
  • Test validity.
  • Selection ratio.
  • Base rate.
  • Additional factors
  • Changes in other outcomes (e.g., turnover) and
    their corresponding money values.
  • Decreased training costs.
  • Decreased accidents.
  • Potential costs of using inappropriate tests
    (lawsuits, reduced number of people accepting the
    job, etc).
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