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Mgmt 441 Staffing

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Mgmt 441 Staffing Prof. Howard Miller Staffing Function Among several human resource functions Benefits Compensation Safety Labor Relations Training Staffing . . . – PowerPoint PPT presentation

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Title: Mgmt 441 Staffing


1
Welcome!
  • Mgmt 441 Staffing
  • Prof. Howard Miller

2
Staffing Function
  • Among several human resource functions
  • Benefits
  • Compensation
  • Safety
  • Labor Relations
  • Training

3
Staffing . . .
  • Involves getting people in, or out, of a company
  • Well concentrate on the getting people in part

4
Staffing has 2 main purposes
  • Get the best talent for the firm at the price
    we can offer
  • Conform to national, state and local regulations
    concerning staffing practice, or in short keep
    it legal

5
How to Staff?
  • Derive demand for labor
  • Update job requirement information
  • Identify knowledge, skills and abilities required
    for success on job
  • Develop measures of job-related KSAs
  • Recruit from relevant labor markets
  • Screen using valid tests
  • Make offer, provide orientation to accepts

6
Staffing Project Steps
  • Choose job to study
  • Find real setting to perform job analysis
  • Perform job analysis
  • Develop job description, job specification
  • Find/develop tests to measure job specifications
  • Identify Relevant labor markets
  • Define recruiting methods
  • Spell out hiring process to client in full detail

7
What do you mean valid test?
  • Note importance of Supreme Court case
  • Watson v. Ft Worth Bank and Trust (1988)
  • Supreme court states (paraphrasing)
  • A test is any hurdle you have to clear to get
    a job - especially important for interviewing,
    which was at core of case
  • A valid test is a hurdle that allows better
    talent to get over, while lesser talent is
    screened out

8
How do we establish if a test is valid
  • Note importance of The Uniform Guidelines for
    Employee Selection Procedures (1978) Uniform
    Guidelines link
  • Three methods recognized by courts
  • Content validation
  • Criterion-related validation
  • Construct validation

9
The logic of hiring validity illustrated
  • Consider classic payoff matrix, which well label
    selection decision matrix in our setting.
  • Good decisions result when applicants who will
    succeed are hired (true positive), and
    applicants who will not succeed are rejected
    (true negative)
  • Bad decisions involve rejecting people who will
    work out (false negative), and accepting those
    who dont work out (false positive)

10
Selection Decision Matrix
11
Content validation
  • A logical analysis by subject matter experts
    (SMEs) of the overlap between the content of
    screening tests and the content of job
    requirements
  • Note the deceptive simplicity of the requirements
    for a typist at the university

12
Criterion-related validation
  • The main way its done
  • 2 types Predictive Validation and Concurrent
    Validation
  • Predictive uses test data from applicants, and
    job performance data from those hired
  • Concurrent uses both test and performance data
    from current employees

13
Construct Validation . . .
  • More complex than the other two
  • One has to show that measures of applicant traits
    and job performance really measure those things
    (Classic construct validation)
  • AND then show trait measures correlate with job
    performance measures

14
the vast majority of the time
  • well be referring to concurrent,
    criterion-related validity evidence because of
    its overwhelming use

15
Valid tests mean lower error rates in hiring
decisions
  • More true positives and negatives
  • Fewer false positives and negatives
  • Lower exposure to successful litigation
  • Higher utility of the staffing function

16
Research on validity tells us what works!
  • Find tests that are shown to be valid
  • How is this done?
  • Within the concurrent, criterion-related
    validation approach, it means showing a
    significant correlation between test scores and
    job performance scores the essence of a
    concurrent validity study.

17
What would such validation data look like?
  • See Ma and Pa Consumer Electronics Store data
    set illustration
  • Ma and Pa Consumer Electronics Data Set 1.xls

18
Valid Hiring Tests
  • A hiring test anything you must get through to
    get the job
  • A Valid hiring test one where applicants who
    score better on the test do a better job if hired
  • In criterion-related empirical test validation,
    it is one where there is a significant
    correlation between hiring test scores and job
    performance scores

19
Empirical validation
  • Obtain a representative sample of people
  • Have them take the hiring test(s), and measure
    their job performance
  • Compute the statistical correlation of hiring
    test scores and job performance scores
  • Compute the statistical significance of the
    sample correlation
  • If significant, cross-validate in new sample
  • If correlation remains significant, put test(s)
    into use

20
Some key statistical concepts
  • Mean the average score for a group of people
  • Standard Deviation the average variability
    around the average score for a group of people
  • Correlation a number that reveals the degree
    of linear association between hiring test scores
    and job performance scores

21
Correlation properties
  • Correlation is notated with lower case r
  • It can range in value from -1.00 to 1.00
  • r0 means zero correlation, no linear
    association between the test (x) and job
    performance (y) thats not happy
  • r1.00 (or r -1.00) means there is a perfect
    association of hiring test and job performance -
    doesnt happen in reality, tho wed love it if
    it did!
  • Correlations from real samples RARELY exceed
    values of r.50

22
More on correlation
  • Correlation can be used to summarize the
    pattern in a 2-variable scatterplot, like the
    hiring test (x axis) versus job performance (y
    axis) scatterplot
  • In this application, correlation is a special
    case of linear regression using a straight line
    to summarize whats happening in a data set
  • Plot interview score against job performance in
    the Ma and Pa data set

23
Statistical analysis of interviews in relation to
monthly sales
  • Compute the correlation of hiring test scores
    with job performance scores
  • Compute the regression of job performance scores
    (Y) on hiring test scores (X)

24
Things to do
  • Review material covered, so you ace the quiz next
    week
  • Read the legal chapter in GFB
  • Read the Uniform Guidelines
  • Find a company/organization where you can perform
    job analysis on real job
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