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Occupational Analysis and Future Automated Testing

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Music. Archery. Horsemanship. Ceremonies and Rites. P.H. DuBois, 1970 ... testing capabilities outstrips the 'classical' and 'item response theory' ... – PowerPoint PPT presentation

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Title: Occupational Analysis and Future Automated Testing


1
Occupational Analysis and Future Automated Testing
  • Johnny J. Weissmuller
  • Innovation Center,
  • Occupational Data Applications Practices
    (ICODAP)
  • 5 April 2005

2
Occupational Analysis and Future Automated Testing
  • Opportunities and Challenges
  • http//www.icodap.org/

3
Government Managers Executives
  • CHINA - 1115 B.C. - The Imperial Court
  • Problem Selection Retention of
  • All Government Officials

4
Six Factor Model
  • Writing
  • Arithmetic
  • Music
  • Archery
  • Horsemanship
  • Ceremonies and Rites
  • P.H. DuBois, 1970
  • A History of Psychological Testing

5
Department of Defense
  • JCS Memo, August 1949
  • Initiate a study to determine the most
    appropriate methodology and techniques of
    military job analysis and job evaluation
    determine the extent to which the unilateral
    analyses accomplished to date are valid with
    relation to methodology provide for such further
    job analysis as may be required and initiate a
    study to relate all Army, Navy, and Air Force
    jobs to a common occupational structure.

6
What are we talking about?
  • Not Training-Embedded Testing
  • High-Stakes Testing
  • Selection
  • Promotion
  • Pay-Affecting (Language Prof)
  • Compromise is criminally actionable

7
Job Analysis in the Military
  • Military Provides all employee training
  • Military structures job families to balance
    training cost utility of force
  • Many occupations undergo major technology shifts
    mission broadening
  • Major changes lessens the value of senior
    personnel in targeting training
  • Military Promotes from Within
  • Military is a model for enlightened corporations

8
Opportunities AheadFrom Computerization
  • Better Test Deployment Logistics
  • Faster Test-to-Personnel Action
  • Quicker Results Notification to Subject
  • Smarter Tests (Branched/Adaptive)
  • More Realistic (High Fidelity Scenarios)
  • Tighter Controls against Compromise

9
Challenges Ahead
  • Fragmentation of Occupational Families called
    Multi-skilling and Agile Workforce by
    Management
  • Greater computer testing capabilities outstrips
    the classical and item response theory
    ability to rank individuals
  • Assessment will need to move to the module level
    rather than job title

10
Laundry List of Concerns 1
  • Test Compromise
  • Prior Knowledge of Test Material
  • Material Access during testing
  • Multiple Forms versus Adaptive Item Pools

11
Laundry List of Concerns 2
  • Changing Job Demands
  • Test Proctors
  • Test Developers
  • New IT-Personnel (High Stakes Testing Demands)
  • Test Psychologists analyzing Results

12
Laundry List of Concerns 2a
  • Test Psychologists analyzing Results
  • Test Compromise
  • Alternate Forms/Bayesian Algorithms
  • Test Equating Across Forms
  • Personnel Programs which use these Metrics
  • Comparability to Previous Scores / Master
    Database
  • Use in Cross-Training Decisions / Differential
    Aptitudes

13
Laundry List of Concerns 3
  • Cost
  • Dollars/Budget
  • Time-Quality Trade-off
  • Infrastructure Creation Maintenance
  • Logistics and Timelines for initial deployment
  • Re-integration into operational personnel programs

14
Laundry List of Concerns 4
  • Reliability of test scores across presentation
    formats
  • Validity/Equivalence of test presentation formats
  • Fidelity Scenario Approaches
  • Data Points Per Minute
  • Contingent Measures/Bayesian Algorithms
  • Parallel Form Development
  • Lost Opportunity for Quantum Leaps

15
A Modest Proposal
  • Use Occupational Surveys to Identify Low Hanging
    Fruit
  • Incorporate Standardized Rating Lists of What
    New Tests May Help to Select or Promote the right
    person (and how much)

16
A Modest Proposal - Examples
  • Diagnosis problems by listening
  • Diagnosis problems by visual inspection
  • Understand instructions in a noisy environment
  • Recognize good/bad practices within visual
    scenarios
  • Detect problems by smell, taste, touch,
    kinesthetic sense, etc.

17
Questions?
  • Obviously I have the questions!
  • Do YOU have any of the answers?
  • Email johnnyw_at_ICODAP.ORG
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