ONET Update

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ONETUpdate

ARC SEMINAR 2008 Transforming Information for the
Future St. Louis Missouri October 28 30, 2008
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Presentation Overview

• ONET Background and Project Overview
• ONET Product Offerings
• Data Collection
• Tools and Technology (T2) Project
• New and Emerging (NE) Occupations Project

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National Center for ONET Development

• Grantee of USDOL Employment and Training
  Administration
• Professional management of projects for the
  development and dissemination of ONET data.

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Role of National Center for ONET Development

• Data Collection, Maintenance and Dissemination
• Assessment Tools
• Research and Development
• Web Development
• Customer Service/Technical Support

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ONET Project Team

• U.S. Department of Labor, Employment Training
  Administration
• National Center for ONET Development
• North Carolina Employment Security
• RTI MCNC HumRRO NC State University
  University of Illinois Maher Maher

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What is ONET

• A common language for describing the world of
  work for both the public and private sectors
• A comprehensive system for collecting and
  disseminating information on occupational and
  worker requirements
• A database and Web-based accessing application of
  occupational requirements and worker attributes
• A resource for businesses, educators, job
  seekers, HR professionals, publicly funded
  Workforce Investment System

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Uses of ONET Information

• Employment and Training
• Writing job descriptions and resumes
• Identifying competencies
• Identifying skills gaps or training needs
• Skills transferability
• Developing training programs
• Career Development
• Career exploration
• Employment transitions

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ONET Structure

• The ONET-SOC Occupational Taxonomy
• The ONET Content Model

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SOC and ONET-SOC

• SOC mandated by US Office of Management and
  Budget
• Developed by multi-agency initiative

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ONET Content Model
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Content Model Sub-Domains
Worker Characteristics Abilities Interests Work
Styles
Abilities Cognitive Psychomotor Physical Sensory
Cognitive Verbal Idea Generation
Reasoning Quantitative Memory Perceptual Spatial A
ttentiveness
Verbal Oral Comprehension Written
Comprehension Oral Expression Written Expression
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The ONET 13.0 Database

• New/Updated Data for 809 Occupations
• Cross-Occupational Occupation Specific
• 230 variables
• Importance, level, frequency
• _at_ 500 ratings per occupation
• _at_ 3500 metadata per occupation

Tasks
Occupation Level Metadata
Work Styles
Interests
Job Zone Reference
Abilities
Work Activity
Knowledge
Content Model Reference
Educ, Trng Experience
Work Value
Scales Reference
Scale Anchors
Skills
Supplemental Files
ONET-SOC Job Zones
Work Context

• Related Occupations
• Crosswalks
• Detailed Work Activities
• Emerging Tasks
• Lay Titles
• Tools and Technology

ONET-SOC Data
Survey Booklet Location
Educ, Trng Experience Categories
Work Context Categories
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The ONET Database Metadata

• Occupational Level Statistics
• ONET-SOC Establishment Response Rate
• ONET-SOC Employee Response Rate
• ONET-SOC Case Completeness Rate
• Total Completes for ONET-SOC

• Ratings Level Statistics
• Standard Error
• Lower 95 Confidence Interval Bound
• Upper 95 Confidence Interval Bound
• Sample Size
• Recommended Suppression
• Not Relevant for the Occupation flag

• Occupational Level Distribution Statistics
• Data Collection Mode
• How long at Current Job
• Industry

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ONET Web Sites

• ONET Resource Center (www.onetcenter.org)
• ONET Products and Tools
• ONET OnLine (online.onetcenter.org)
• Easy access to information in the database
• ONET Code Connector (www.onetcodeconnector.org)
• Occupational coding assistance
• Data Collection Site (http//onet.rti.org)
• Web based survey
• ONET Academy (http//www.onetacademy.com/)
• Courses, tutorials, webinars
• US Department of Labor (http//www.doleta.gov/repo
  rts/DESA_skill.cfm)
• National leadership for the ONET program

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ONET Products and Tools

• ONET Database
• Core Database
• Supplemental Files (Lay Titles, T2, DWA, etc.)
• ONET Career Exploration Tools
• Interest Profiler
• Work Importance Profiler/Locator
• Ability Profiler

• Questionnaires
• Toolkit for Business
• Research Technical Reports
• Technical Assistance
• Testing Assessment Guides
• Customer Service
• onet_at_ncmail.net

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ONET Data Collection Overview

• Proven successful and cost effective methodology
  designed to collect and yield high quality
  occupational data
• Multi-method approach to provide flexibility
  within a framework of standardized procedures

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ONET Data Collection Overview

• High quality data from a national sample of job
  incumbents/occupational experts
• Strong business participation
• 86 response rate
• Strong employee participation
• 75 response rate
• Strong occupation expert response rate
• 88
• Strong national association support
• 400 plus endorsements
• OMB Approval

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Sources of Occupational Data

• Job Incumbents and Occupation Experts
• Knowledge, Work Activities, Work Context, Work
  Experience, Work Styles, Tasks, Education, Job
  Titles
• Job Analysts
• Abilities
• Skills
• Internet sites
• Tasks
• Detailed Work Activities
• Tools and Technologies (T2)

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Establishment Data Collection

• Two stage sample
• business establishments
• Job incumbents within business establishments
• Job incumbents choose either paper-and-pencil or
  web-based response options (requires 25-30
  minutes)
• One of three survey questionnaires completed by
  each job incumbent
• Generalized Work Activities Work Context
  Knowledge
• Task List

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Occupational Experts

• Supervisors, trainers, or others who are familiar
  with the work and requirements of an occupation,
  but are not necessarily job incumbents
• Used when occupation is difficult to locate in
  establishments
• Small employment size
• Job incumbents inaccessible due to work in remote
  locations
• New and emerging occupations

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Analyst Ratings

• Occupational Analysts Rate the Ability and Skills
  Domains
• Updated occupation information collected from job
  incumbents used to describe occupation and assist
  with the rating process
• Extensive training and quality assurance
  procedures

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Internet Based

• Collect and process more specific occupational
  information from industry, professional, labor,
  and educational organizations
• Scan internet for existing information linked to
  ONET-SOC
• Collect tasks and detailed information
• Compile data, analyze data/expert review
• Organize using standardized taxonomies
• Generate final output

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ONETTools Technology (T2) Project

• What are they?
• Descriptive Statistics and Examples
• Uses of T2 Data
• Methodology
• Future Plans

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What are T2?

• Tools and technology are tools, equipment,
  machines, software, and technology used by
  workers on the job.

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T2 Summary

• Number of Occupations
• 327 published to date
• 427 by the end of 2008
• Types of Occupations
• High Growth
• High Demand
• Emerging
• Total T2 collected
• Over 25,000
• Range per occupation
• 12300
• Incorporated within government, private, and
  non-profit organizations

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Where can I access T2?

• ONET OnLine reports
• (http//online.onetcenter.org/)
• T2 search on ONET OnLine (http//online.onetcente
  r.org/search/t2/)
• Downloadable T2 data files on the ONET Resource
  Center (http//www.onetcenter.org/supplemental.htm
  l)

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ONET OnLine Details Report
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How T2 Can Be Used

• By Employers
• Improve training needs assessment
• Assist in job order creation
• Create more robust, up-to-date job descriptions
• By workers
• Understand occupation and job requirements
• Identify education and training needs
• By education and training institutions
• Design educational and training programs
• Identify new technical skills/competencies

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T2 Methodology

• Step 1) Occupation review and preparation
  conducted by trained analysts I/O Psychologists
• Study task information
• Examine similarities and differences with related
  occupations
• Review industry and general field of study sources

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T2 Methodology

• Step 2) Data collection
• Level 1 General searching
• Level 2 Targeted searching
• Level 3 Directed effort to capture new
  emerging objects
• Emphasis on cutting-edge technologies and
  emerging, innovative workplace practices
• Optimal functioning in high-performance
  workplaces

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T2 Methodology Web Sources

• Professional associations
• Education/Academic
• Governmental job specifications
• Career Information Systems
• Customer review and input

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T2 Methodology

• Step 3) Classification
• Taxonomy UNSPSC (United Nations Standard
  Products and Services Code)
• Enables cross-occupational comparisons
• Facilitates inclusion within a variety of
  applications

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SOC and ONET-SOC

• ONET-SOC is a SOC based classification that
  provides a greater level of detail as needed
• Currently data collected on 812 ONET-SOCs
• ONET-SOC is growing to include important new and
  emerging occupations (N E)
• Currently 128 N E occupations identified

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What are NE Occupations

• New Emerging Occupations
• Significantly different work from existing
  ONET-SOCs
• Not adequately reflected in current
  classification
• Significant employment
• Positive projected growth rate
• Education, credentialing, licensure/certification
  programs
• Professional journals/publications
• Related professional associations

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ONET New Emerging Project

• Investigate the 15 High Growth Industries

• Advanced Manufacturing
• Aerospace
• Automotive
• Biotechnology
• Construction
• Energy
• Financial Services
• Geospatial Technology
• Research Completed

• Health Care
• Homeland Security
• Hospitality
• Information Technology
• Nanotechnology
• Retail
• Transportation

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Steps in the NE Process
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Steps in the NE Process
Step 1 Identifying N E Occupations Step 2
Approval of N E Occupations Step 3 Develop
Task Lists for Approved N E
Occupations Step 4 Create Occupation
Profiles Step 5 Finalize Occupation
Profiles Step 6 Data Collection Method
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Results to Date

• Research on 15 of the 16 High Growth Industries
  is completed
• Education Industry currently being processed
• Currently 128 N E Occupations have been
  identified
• Data collection initiated for 98 N E
  Occupations

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Results to Date
Total N E Occupations by High Growth Industry
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37 New Health Care ONET-SOCs

• 13-1199.02 Patient Representatives
• 19-3039.01 Neuropsychologists and Clinical
  Neuropsychologists
• 21-1019.01 Genetic Counselors
• 29-1069.01 Allergists and Immunologists
• 29-1069.02 Dermatologists
• 29-1069.03 Hospitalists
• 29-1069.04 Naturopathic Physicians
• 29-1069.05 Neurologists
• 29-1069.06 Nuclear Medicine Physicians
• 29-1069.07 Ophthalmologists
• 29-1069.08 Pathologists
• 29-1069.09 Physical Medicine and Rehabilitation
  Physicians
• 29-1069.10 Preventive Medicine Physicians
• 29-1069.11 Radiologists
• 29-1069.12 Sports Medicine Physicians
• 29-1069.13 Urologists
• 29-1129.01 Low Vision Therapists, Orientation and
  Mobility Specialists, and Vision Rehabilitation
  Therapists
• 29-1199.01 Acupuncturists
• 29-1199.02 Informatics Nurse Specialists

29-1199.05 Clinical Nurse Specialists 29-1199.06 C
ritical Care Nurses 29-1199.07 Nurse
Anesthetists 29-1199.08 Nurse Practitioners 29-209
9.01 Cytogenetic Technologists 29-2099.02 Cytotech
nologists 29-2099.03 Electroneurodiagnostic
Technologists 29-2099.04 Hearing Instrument
Specialists 29-2099.05 Histotechnologists and
Histologic Technicians 29-2099.06 Ophthalmic
Medical Technologists and Technicians 29-2099.0
7 Orthoptists 29-2099.08 Nurse Midwives 29-9099.02
Midwives 31-9099.01 Anesthesiologist
Assistants 31-9099.02 Endoscopy
Technicians 31-9099.03 Speech-language Pathology
Assistants
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Cytogenetic Technologists

• Definition
• Analyze chromosomes found in biological specimens
  such as amniotic fluids, bone marrow, and blood
  to aid in the study, diagnosis, or treatment of
  genetic diseases.
• Sample of Core Tasks
• Analyze chromosomes found in biological specimens
  to aid diagnoses and treatments for genetic
  diseases such as congenital birth defects,
  fertility problems, and hematological disorders.
• Arrange and attach chromosomes in numbered pairs
  on karyotype charts, using standard genetics
  laboratory practices and nomenclature, to
  identify normal or abnormal chromosomes.
• Count numbers of chromosomes and identify the
  structural abnormalities by viewing culture
  slides through microscopes, light microscopes, or
  photomicroscopes.
• Recognize and report abnormalities in the color,
  size, shape, composition, or pattern of cells.

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14 New Information Technology ONET-SOCs

• Business Intelligence Analysts
• Computer System Engineers Architects
• Database Architects
• Data Warehousing Specialists
• Document Management Specialists
• Electronic Commerce Specialists
• Information Technology (IT) Project Managers
• Network Designers
• Software Quality Assurance Engineers Testers
• Telecommunications Specialists
• Videogame Designers
• Web Administrators
• Web Developers
• Web Technicians

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Network Designers

• Definition
• Determine user requirements and design
  specifications for computer networks. Plan and
  implement network upgrades.
• Sample of Core Tasks
• Adjust network sizes to meet volume or capacity
  demands.
• Communicate with customers, sales staff, or
  marketing staff to determine customer needs.
• Coordinate network operations, maintenance,
  repairs, or upgrades.
• Design, build, or operate equipment configuration
  prototypes, including network hardware, software,
  servers, or server operation systems.
• Determine specific network hardware or software
  requirements, such as platforms, interfaces,
  bandwidths, or routine schemas.
• Develop conceptual, logical, or physical network
  designs.

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Questions, Feedback, Additional
Input? www.onetcenter.orgonline.onetcenter.org
orCustomer Service National Center for ONET
Developmente-mail onet_at_ncmail.net