Overview of O*NET Data Collection and Activities OIDAP Meeting Phil M. Lewis David R. Rivkin National Center for O*NET Development Pam Frugoli Employment and Training Administration, DOL May 4, 2011 - PowerPoint PPT Presentation

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Overview of O*NET Data Collection and Activities OIDAP Meeting Phil M. Lewis David R. Rivkin National Center for O*NET Development Pam Frugoli Employment and Training Administration, DOL May 4, 2011


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Title: Overview of O*NET Data Collection and Activities OIDAP Meeting Phil M. Lewis David R. Rivkin National Center for O*NET Development Pam Frugoli Employment and Training Administration, DOL May 4, 2011

Overview of ONET Data Collection and
ActivitiesOIDAP Meeting Phil M. LewisDavid
R. RivkinNational Center for ONET
DevelopmentPam FrugoliEmployment and Training
Administration, DOLMay 4, 2011
Goals of the Update Briefing
  • Overview of ONET Project
  • Data Collection Program
  • Address OIDAP Questions
  • Products Tools
  • ONET Users
  • Special Projects

OIDAP Questions
  • Please describe how the ONET data collection
    strategy builds upon the BLS Occupational
    Employment Statistics (OES) database.
  • Are you still using Dun Bradstreet data to find
    establishments? Were OES data not able to
    accomplish this, or is it an efficiency issue?
  • What was the original balance between the
    Establishment Method and the Occupational Expert
    Method for populating the ONET database? Has
    that changed now that you are in maintenance
    mode? How are the occupational experts
  • Can you describe the role of the state workforce
    development offices in data collection for ONET?
    Has this changed over time?
  • Why did ONET decide not to use field analysts to
    collect the data on occupations?

OIDAP Questions (cont.)
  • What are the major challenges associated with
    identifying employees in specific occupations to
    observe in the field?
  • How do Detailed Work Activities differ from
    Generalized Work Activities in the ONET? How
    were they empirically derived?
  • We understand that a rule of thumb for
    statistical sufficiency was set at 15
    observations for each domain. Are you still
    satisfied with that number?
  • Are you planning any changes in procedure or
    content as a result of the recent review of ONET
    by the National Research Council?
  • How might your sampling parameters change if the
    results were subject to legal challenge?
  • What advice do you have for SSA as they begin to
    develop an OIS for disability adjudication

Overview of ONET Project
  • 1980 Work, Jobs, and Occupations a Critical
    Review of the Dictionary of Occupational Titles
    (National Research Council)
  • 1993 Final report of the Advisory Panel on the
  • 1999 The Changing Nature of Work Implications
    for Occupational Analysis
  • 2000 ONET Data Collection Program Survey
  • 2001 Official OMB approved ONET data collection
    using the ONET survey questionnaires

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

National Center for ONET Development
  • Data Collection
  • Dissemination
  • Implementation
  • Research and Development
  • Technical Assistance/Customer Support

What is ONET?
  • A common language and dynamic system 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

What is ONET?
  • Flexible competency-based system with emphasis on
    skills transferability
  • Framework for organizing job and worker
  • Data on occupations covering the entire U.S.

What is ONET?
  • Uses information technologies to facilitate the
    collection, storage, and distribution of quality
  • A resource for businesses, educators, job
    seekers, HR professionals, and publicly funded
    government programs

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

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

Key characteristics of U.S. SOC
  • Structured for comparability
  • Unified classification structure
  • Four hierarchical levels to enable data
    collectors to choose a level of detail
    corresponding to their needs and ability to
    collect data on different occupations

  • ONET-SOC is a SOC based classification that
    provides a greater level of detail as needed
  • ONET-SOC 2010 taxonomy released December 2010
  • Currently data collected on 974 ONET-SOCs
  • Adds 269 more specific occupations
  • New and emerging
  • Different tasks and KSAs

ONET Content Model
Content Model Sub-Domains
Worker Characteristics Abilities Interests Work
Abilities Cognitive Psychomotor Physical Sensory
Cognitive Verbal Idea Generation
Reasoning Quantitative Memory Perceptual Spatial A
Verbal Oral Comprehension Written
Comprehension Oral Expression Written Expression
The ONET Database Version 15.1
  • Occupation data
  • Cross-Occupational Occupation Specific
  • 230 variables
  • Importance, level, frequency
  • _at_ 500 ratings per occupation
  • _at_ 3500 metadata per occupation

Scales Reference
Content Model Reference
Educ, Trng Exp Categories
Survey Booklet Locations
Task Categories
Educ, Trng Exp
Task Ratings
Task Statements
Job Zone Reference
Supplemental Files
Work Activities
Job Zones
  • Related Occupations
  • Crosswalks
  • Detailed Work Activities
  • Emerging Tasks
  • Lay Titles
  • Tools and Technology
  • ONET-SOC 2000 to ONET-SOC 2006
  • Tasks (Release 5.1 File Layout)?
  • Work Needs
  • Crosswalks
  • Detailed Work Activities
  • Emerging Tasks
  • In-Demand Occupations
  • Lay Titles
  • Related Occupations
  • Tools and Technology
  • Work Needs

Work Context Categories
Work Context
Level Scale Anchors
Work Styles
Occupation Data
Occupation Level Metadata
Work Values
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
  • Confidence Intervals
  • Lower and upper 95 bounds
  • Standard Deviation
  • Standard Error
  • Sample Size
  • Flags
  • Not Relevant for the Occupation
  • Recommended Suppression
  • Occupational Level Distribution Statistics
  • Data Collection Mode
  • Current Job Tenure
  • Industry

ONET Data Availability
  • 874 occupations
  • Comprehensive data
  • 359 second update
  • 100 occupations
  • Description, task list, lay titles
  • Majority also have interests, work values, and
    tools technology

ONET Data Publication Goals
  • New database released annually
  • Minimum of 100 occupations updated
  • Average currency of all occupations 2.59 years
  • Priority established by DOL
  • Maximum 5 years-old
  • Bright Outlook
  • Green occupations
  • Linked to technology, math, and science,
    computers, engineering, and innovation

ONET Data Currency
ONET Data Collection Program
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
  • Establishment, Occupational Expert, Supplemental
    Frames, Analyst Ratings, Web-Based
  • Minimizes public burden and costs
  • Approved by Office of Management Budget (OMB)

ONET Data Collection Overview
  • Continuous data collection since June 2001
  • Three successful OMB Clearances
  • Comprehensive update by job incumbents and
    occupational experts of the 2006 ONET-SOC
  • Transition to 2010 ONET-SOC
  • New Emerging occupations
  • Unparalleled partnership between Department of
    Labor and private/public community
  • 40,000 business/organizations
  • 160,000 job incumbents/experts
  • 450 National Associations

Data Collection Overview (cont.)
  • High quality data from a national sample of job
    incumbents/occupational experts
  • Strong business participation
  • 76 plus response rate
  • Strong employee participation
  • 65 plus response rate
  • Strong occupation expert participation
  • 82 response

Data Collection Overview (cont.)
  • Web-based case management system used to control
    all sampling and data collection systems
  • Case management, BL contacts with establishments,
    questionnaire and informational mailings,
    questionnaire processing, inventory control, etc.
  • Finely tuned procedures, systems and
    infrastructure capable of surveying multiple
    occupations simultaneously
  • Capability developed, tested, and enhanced over
    11 years

Sources of Occupational Data
  • Job Incumbents and Occupation Experts
  • Education, Job Titles, Knowledge, Tasks, Work
    Activities, Work Context, Work Experience, Work
  • Occupation Analysts
  • Abilities, Skills
  • Web-based Research
  • Detailed Work Activities, Green, Tasks, Tools and
    Technologies (T2)

Establishment Method
  • Two stage sample
  • Business establishments - POC
  • Job incumbents within business establishments

Establishment Method (cont.)
  • Job incumbents complete one of three survey
    questionnaires (25 -30 minutes)
  • Generalized Work Activities, Knowledge/Work
    Styles, or Work Context
  • Task List
  • Background Info
  • Incumbents choose response option
  • Paper-and-pencil
  • Web-based (approximately 25)

Design of Collection Waves
  • Identify 50 primary occupations to target in a
    sample wave
  • Wave X.1 Designed to get 34 of sample
  • Wave X.2 Designed to get 33 of sample
  • Wave X.3 Designed to get 33 of sample
  • Wave X.4 Sample residual

Design of Collection Waves (cont.)
  • Each wave is a cluster of similar occupations
  • Secondary occupations which are found across
    industries are also included to maximize
  • Multiple sub-waves allow for greater precision
  • Locating occupations
  • Controlling public burden and project resources

Stage One Sampling
  • OES data from BLS used to determine the initial
    industry distribution for each occupation
  • Sample business establishments selected from
    database of business locations

Stage One Sampling (cont.)
  • OES data from BLS used to determine the initial
    industry distribution for each occupation
  • Indicates which industries occupations are
    employed in and the share and distribution of
    occupational employment across industries
  • Does not contain information on establishments

Stage One Sampling (cont.)
  • Industry information for each occupation is
    refined by ONET Center analysts
  • Review and face validity checks
  • For example, religious institution sub-section
    removed from service industry if sampling for
  • Determine industries to include based on overall
    distribution and population coverage goals
  • Refined/target by experience from previous
    updates, when available

Stage One Sampling (cont.)
  • Sample business establishments selected from a
    frame of business locations
  • Dunn Bradstreet (DB) database
  • 15 Million establishments
  • Info obtained from multiple sources
  • Tax records, credit reports, telephone
  • Updated continuously on a monthly basis
  • Links to SIC and NAICS industry information

Population Coverage
  • Gather data on the core of the occupation
  • Where the majority of incumbents employed
  • Average coverage level is 85

Population Coverage (cont.)
Stage Two Sampling
  • Led by highly qualified ONET Business Liaisons
    (ONET BL)
  • Full time staff working in dedicated call center
  • Educational and work experience criteria higher
    than typical telephone interviewer
  • The sampled establishments Point-of-Contact
    (POC) works with the ONET BL to identify the a
    list of eligible employees
  • Identification Profiles (ID Profile) are used
    when asking POC if occupations are present
  • Helps ensure accuracy in matching employees to

Stage Two Sampling (cont.)
  • Automated, random selection of job incumbents
    from the POCs eligible list
  • Limits placed on POC burden
  • No more than 5 occupations sampled
  • Never more than 20 employees selected
  • Can only be included within the data collection
    once each year
  • Selected employees
  • Asked to complete the questionnaire on their own
  • Responses remain anonymous and confidential from
    both the employer and the public
  • Complete via the web or mail back directly
  • All individual identifiers removed

Model-Aided Sampling (MAS)
  • Innovative sampling approach that reduces data
    collection cost and burden to the public by
    preventing occupations from greatly exceeding
    their targeted sample
  • Builds on existing sampling paradigms
    traditional and model based
  • For each occupation, a targeted sample size for
    specific demographic domains is modeled
  • Census region
  • Establishment size
  • Industry division
  • Data collection is halted in a MAS cell when the
    targeted respondent sample size is projected to
    be achieved

Summary of Establishment Method Sample Selection
Establishment Method Data Collection Protocol
Other Key Features
  • Incentives
  • Employer
  • Toolkit for Business
  • POC
  • Clock, Certificate of Appreciation
  • Employee
  • 10
  • Outreach to professional/trade associations
    increase awareness
  • Endorsement list provided to POC

Supplemental Frame Method
  • Multiple strategies to augment the establishment
    data collection
  • Supplemental Frame Incumbent
  • Job incumbents are directly accessed via an
    association listing to complete the data
  • e.g. Industrial Organizational Psychologists
  • Supplemental Frame Establishment
  • Targeted employer sample developed via expert
    contact/associations where the sampling frame
    coverage is significantly high but is not
    adequate by itself
  • e.g. Freight and Cargo Inspectors
  • Special Frame Establishment
  • Targeted employer sample completely developed via
    expert contact/associations where coverage is
    extremely high
  • Normal establishment method is bypassed
  • e.g. Nuclear Power Reactor Operators Flight

Occupational Experts (OE) Method
  • Used when occupation is difficult to locate in
  • Small employment size
  • Job incumbents inaccessible due to work in remote
  • New and emerging occupations

OE Method (cont.)
  • Data collected from experts in target occupation
  • Supervisors, trainers, others with extensive
    knowledge of occupation
  • Identify appropriate source organizations (e.g.
    professional associations)
  • Good coverage of occupation
  • Can identify members who are occupation experts
  • Willing to provide lists of experts

OE Method (cont.)
  • Select sample from membership lists
  • Contact, screen, and survey OEs directly no
    establishment or POC
  • OEs complete all three domain questionnaires,
    background and task questionnaires
  • OE incentives clock, Certificate of
    Appreciation, 40

OE Method DataCollection Protocol
Analyst Ratings Method
  • Occupational Analysts Rate the Ability and Skill
  • Updated occupation information collected from job
    incumbents used to describe occupation and assist
    with the rating process
  • Extensive training and quality assurance

Analyst Rating Process
Stimulus Material
  • Occupation title and definition
  • Job Zone
  • Important knowledges
  • Mean importance of core and supplementary tasks
  • Mean importance of GWAs that
  • Mean gt 3.0 for occupation
  • Require the targeted ability/skill to be
  • Mean rating of work context statements that
  • Mean gt 3.0 for occupation
  • Require the targeted ability/skill to work in
    that context

Data Collection
  • Two groups of eight analysts
  • Both groups first given same 10 occupations
  • Rate importance and level of 52 abilities and 35
  • Ratings compared and discussed if warranted
  • Batches of five occupations/week different
    occupations to each group of 8
  • Evaluate agreement (SEM) facilitate discussion
    if SEM gt .51 for importance

Analysts Qualifications
  • 16 Trained Analysts
  • 5 years work experience
  • Currently work for diverse organizations
  • Marriott, FedEx, SAS, DDI
  • Not internship, assistantship or summer job
  • Masters or PhD degree in I/O psychology,
    vocational psychology, human resources (business
    department) or industrial relations
  • Graduate level job analysis course (or something
  • Graduate level research methods course (or
    something comparable)

Analyst Training
  • 1 ½ days
  • Hands-on exercises, quizzes, and rating practice
  • Module 1 History of ONET
  • Module 2 Overview of Stimulus Materials
  • Module 3 Making Your Ratings
  • Module 4 Recording Your Ratings
  • Refresher training

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

Special Projects
Revision of Data Collection Instruments
  • Variety of cognitive methods used to evaluate the
    content and design of the initial ONET data
    collection surveys
  • Expert evaluation (cognitive forms appraisal)
  • Expanded interviews with individual respondents
  • Focus group interviews
  • Results led to significant enhancements to the
    instruments while maintaining comparability to
    the theoretical underpinnings of the variables
    and taxonomies, as well their psychometric
  • Simplification of instructions and layout
  • Reduction in the number of items and scales per
  • Wording changes to specific variable definitions
  • Current item response rate range 96-99

ONET Integration Projects
  • Occupational Code Assignment
  • Formal request of an assignment of a
    job/occupation to the ONET-SOC Taxonomy
  • Lay titles
  • 50,000 titles
  • Average of 57 titles linked per occupation
  • Crosswalks
  • Military Occupational Classification (MOC)
  • Registered Apprenticeship Partners Information
    Data System (RAPIDS)
  • Classification of Instructional Programs (CIP)
  • Dictionary of Occupational Titles (DOT)
  • Standard Occupational Classification (SOC)
  • ONET Online Applications
  • Browse by Career Cluster
  • Browse by Bright Outlook
  • Browse by Industry

ONET Career Exploration Tools
Tools and Technology (T2)
  • Machine, Equipment, Tools, and Software workers
    must be able to use for optimal functioning in a
    high performance workplace
  • This is what employers refer to as Hard Skills
  • Emphasis placed on cutting edge technologies and
    emerging workplace practices
  • http//online.onetcenter.org/link/summary/17-2081.

Tools and Technology (T2)
  • 620 occupations populated
  • All green occupations
  • 43,000 objects
  • 76 objects per occupation on average
  • Range 12-300

T2 Development
  • Internet based data collection
  • Build on previous ONET project tasks (i.e., task
  • Trained analysts
  • Strong proficiency in Internet searching
  • Strong background and training in occupational

T2 Development (cont.)
  • Data classification
  • United Nations Standard Products and Services
    Code classification system (UNSPSC)
  • Quality control
  • Customer input
  • Feedback via ONET Online ONET Resource
    Center http//www.onetcenter.org/t2/
  • Transactional analysis of DOLs Job Description

ONET New Emerging (N E) Project
  • 154 New Emerging Occupations Identified
  • Significantly different work from existing
  • Not adequately reflected in current
  • Significant employment
  • Positive projected growth rate
  • Education, credentialing, certification programs
  • Related professional associations
  • http//www.onetcenter.org/reports/NewEmerging.html

ONET N E Project (cont.)
  • Investigated 17 In-Demand Industries
  • Advanced Manufacturing
  • Aerospace
  • Automotive
  • Biotechnology
  • Construction
  • Education
  • Energy
  • Financial Services
  • Geospatial Technology
  • Green
  • Health Care
  • Homeland Security
  • Hospitality
  • Information Technology
  • Nanotechnology
  • Retail
  • Transportation

ONET N E Project (cont.)
  • Extensive Web Search Conducted by Trained
    Occupational Analysts
  • Industry Associations and Organizations
  • Educational Programs
  • Job posting sites
  • Information Gathered, Documented, and Detailed
    Criteria for Inclusion Applied

ONET N E Project (cont.)
  • Trained occupational analysts conduct extensive
    web searches to investigate each industry
  • Background of industry (i.e., when industry
    started changing)
  • Major innovations in industry
  • Employment trends
  • New products
  • Government regulations (e.g., Automotive
    Emissions Standards)

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
  • 29-1199.05 Clinical Nurse Specialists
  • 29-1199.06 Critical Care Nurses
  • 29-1199.07 Nurse Anesthetists
  • 29-1199.08 Nurse Practitioners
  • 29-2099.01 Cytogenetic Technologists
  • 29-2099.02 Cytotechnologists
  • 29-2099.03 Electroneurodiagnostic
  • 29-2099.04 Hearing Instrument Specialists
  • 29-2099.05 Histotechnologists and Histologic
  • 29-2099.06 Ophthalmic Medical Technologists
    and Technicians
  • 29-2099.07 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

Greening of the World of Work
  • Investigated the implications for the ONET
  • - Current ONET-SOC Taxonomy
  • - N E Occupations
  • Green Economy
  • economic activity related to reducing the use
    of fossil fuels, decreasing pollution and
    greenhouse gas emissions, increasing the
    efficiency of energy usage, recycling materials,
    and developing and adopting renewable sources of

Green Economy Sectors
  • Renewable Energy Generation
  • Transportation
  • Energy Efficiency
  • Green Construction
  • Energy Trading
  • Energy and Carbon Capture
  • Research, Design, and Consulting Services
  • Environment Protection
  • Agriculture and Forestry
  • Manufacturing
  • Recycling and Waste Reduction
  • Governmental and Regulatory Administration

Greening of Occupations
  • The extent to which green economy activities and
    technologies increase the demand for existing
    occupations, shape the work and worker
    requirements needed for occupational performance,
    or generate unique work and worker requirements

Greening of Occupations (cont.)
  • Green Increased Demand Occupations
  • increase in the employment demand for an existing
  • changes in work context
  • few if any significant changes in work (tasks)
    and worker requirements of the occupation
  • Green Enhanced Skills Occupations
  • significant changes in work and worker
  • essential purposes of the occupation remain the
    same, but tasks, skills, knowledge, and external
    elements, such as credentials, have changed
  • may or may not result in an increase in
    employment demand for the occupation
  • Green New Emerging Occupations
  • impact of green economy activities and
    technologies creates unique work and worker
    requirements, which results in the generation of
    a new occupation relative to the ONET taxonomy.
  • The new occupation could be new or born from an
    existing occupation

ONET Green Results
  • Green Increased Demand Occupations
  • 64 ONET-SOC occupations
  • Geological and Petroleum Technicians Locomotive
    Engineers Architectural Drafters Chemists
    Natural Science Mangers Agricultural Inspectors
  • Green Enhanced Skills Occupations
  • 60 ONET-SOC occupations
  • Power Plant Operators Electrical Engineers
    Heating and Air Conditioner Mechanics and
    Installers Roofers Nuclear Engineers
    Construction Managers Farmers and Ranchers
    Hazardous Materials Handlers

ONET Green Results (cont.)
  • Green New Emerging Occupations
  • 91 N E Occupations (13 waitlisted)
  • Logistic Engineers, Fuel Cell Engineers, Energy
    Auditors, Precision Agriculture Technicians,
    Photonics Engineers, Robotics Technicians,
    Manufacturing Engineering Technologists
  • Wind Turbine or Farm Engineers, Wind Turbine
    Service Technicians, Biofuels Plant Operators,
    Solar Power Plant Technicians, Solar Sales
    Representatives/Assessors, Weatherization
    Technicians/Installers, Carbon Credit Traders

Detailed Work Activities (DWAs)
  • Detailed job behaviors required across multiple
  • More detailed and more specific to a finer set of
    occupations than Generalized Work Activities
  • Linked to and organized by GWAs
  • Less specific than unique occupation tasks
  • 2000 statements
  • 30,000 linkages

Original DWA Development
  • 2000 to 2002
  • Original statements developed to help clients
    perform skills matching
  • Oregon State
  • Classification of Instructional Programs, OES
    data, DOT data
  • Transactional data from employers in Oregon
  • Statements linked to ONET occupations, new
    statements added to increase coverage, increase
    consistency, reduce redundancy
  • Labor Exchange Skills Project sponsored by DOL
  • Rational review by occupational analysts
  • Further refinement and enhancement of statements
  • National Center for ONET Development
  • Rational review by occupational analysts

Current DWA Project
  • Develop new DWAs statements with direct linkages
    to tasks statements and GWAs
  • Occupational analyst rating project
  • Builds on previous database
  • Identify new Green and Healthcare related DWAs
  • Populate the 2010 ONET-SOC taxonomy
  • ONET New and Emerging occupations
  • Other new occupations and changes

Spanish Translations of ONET Questionnaires
  • Now available along with the previously available
    generic, customizable versions in English
  • Can be used as a starting point to collect
    occupational data in support of a wide range of
    economic/workforce investment activities and
    human resource management functions
  • http//www.onetcenter.org/questionnaires.html

ONET Toolkit for Business
  • Information of the features of ONET and its many
    uses for human resource professionals and
  • On-screen and print version
  • http//www.onetcenter.org/toolkit.html

ONET Products Tools
ONET Products Tools
  • Where Can ONET Products Tools be found?
  • ONET Resource Center (www.onetcenter.org)
  • Databases
  • Classification Crosswalks
  • About ONET ONET Content Model
  • Career Exploration Tools
  • Incorporated within Private, Not-for-Profit, and
    Government tools and systems
  • Toolkit for Business
  • Questionnaires
  • Research Technical Reports
  • Links to Related Sites

ONET Products Tools
  • ONET Database (www.onetcenter.org)
  • Core Database
  • Supplemental Files (e.g., lay titles, DWAs,
  • Production versus Development
  • ONET OnLine (www.onetonline.org)
  • Variety of search options
  • Detailed occupation information
  • My Next Move (www.mynextmove.org)
  • Easy-to-use search and career overviews
  • Web-based Interest Profiler
  • ONET Code Connector (www.onetcodeconnector.org)
  • Occupational coding assistant

ONET Products Tools (Cont.)
  • ONET Career Exploration Tools
  • Interest Profiler
  • Work Importance Profiler/Locator
  • Ability Profiler
  • Training and E-Learning (http//www.onetacademy.co
  • 60,000 registered participants
  • Technical Assistance
  • Testing Assessment Guides
  • Implementation guidance
  • Customer Service
  • onet_at_ncmail.net

ONET Widespread Use
ONET Downloads Jan 2002 Dec 2010
ONET Widespread Use (cont.)
ONET Website Statistics - 2010
Who uses ONET?

Job Seekers
Students and Youth
Training Specialists
Community Development
Career Counselors
HR Professionals
Government Officials and Policy Makers
Sample of ONET Users
  • Manpower
  • Microsoft
  • American Foundation for the Blind
  • Booz, Allan, Hamilton
  • IBM
  • ACT
  • Torque
  • Bill and Melinda Gates Foundation
  • The Boys and Girls Club of American
  • Catholic Community Services
  • Community Preservation and Development
  • Arizona State University CRESMET Center
  • Colorado State University Department of
  • Harvard Business School
  • Lehigh Carbon Community College
  • Temple University
  • Seattle Washington Public School
  • Army Research Institute
  • Federal Reserve Bank of New York
  • National Institutes for Health
  • Alabama Department of Rehabilitation
  • California Employment Development Department
  • Connecticut Department of Labor
  • U.S. Department of Labor, Employment and Training
  • Main Department of Labor
  • NCESCJob Connector
  • State of Montana Human Resources Division
  • Texas Labor Market and Career Information
  • Cornell University
  • Canadian International Education Development
  • E-Career Guidance.Com (Ireland)
  • NKOKA (South Africa)
  • Technical Education and Skills Development
    Authority (Philippines)
  • JNET ( Japan)
  • U21 Global (includes 21 Universities in 11
  • UK Commission for Employment and Skills (United

Employers Using ONET
  • Human Resources Personnel
  • Business Forecasters
  • Industry Analysts
  • Organizational Consultants
  • Workforce and Economic Development Specialists
  • Curriculum Developers
  • Researchers

Individuals Using ONET
  • Career exploration
  • Career development
  • Job search
  • Employment transitions

  • Department of Labor Employment Training
  • mySkills myFuture
  • Americas Career InfoNet and CareerOneStop
  • Foreign Labor Certification
  • Apprenticeship

  • One-Stop Partners
  • Career Counselors
  • Interviewers
  • Rehabilitation Counselors
  • Veterans Representatives
  • Training Providers
  • Business Consultants

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