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O*NET®
Interest Profiler Manual
Edited by:
James Rounds
University of Illinois at Urbana-Champaign
Kevin Hoff
University of Houston
Phil Lewis
National Center for O*NET Development
Prepared for
U.S. Department of Labor
Employment and Training Administration
Office of Workforce Investment
Division of National Programs, Tools, & Technical Assistance
Washington, DC
Submitted by
The National Center for O*NET Development
March, 2021
www.onetcenter.org
National Center for O*NET Development, 313 Chapanoke Road, Suite 130
Raleigh, NC 27603
TABLE OF CONTENTS
EXECUTIVE SUMMARY .................................................................................................3
LIST OF CONTRIBUTORS ...............................................................................................4
CHAPTER 1: Interest Assessment and the O*NET Interest Profiler ..................................5
CHAPTER 2: Interest Profiler Forms, Versions, and Linkage to Occupations.................14
CHAPTER 3: Test Administration, Scoring, and Reporting for the Interest Profiler .......30
CHAPTER 4: Development of Items and Interest Profiler Forms ....................................40
CHAPTER 5: Reliability Evidence for the Interest Profiler ..............................................61
CHAPTER 6: Validity Evidence for the Interest Profiler .................................................77
CHAPTER 7: Interest Profiler Linkage to O*NET Occupations ....................................121
CHAPTER 8: International Forms and Applications of the Interest Profiler ..................134
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[O*NET Interest Profiler Manual]
Executive Summary
The O*NET Interest Profiler (IP) is a vocational interest inventory designed for use in
educational planning, career exploration, and career guidance (Lewis & Rivkin, 1999). The
Interest Profiler was introduced in 1999 as one of the U.S. Department of Labor’s (DOL)
O*NET Career Exploration Tools. John Holland’s (1997) RIASEC theoretical model
(Realistic-Investigative-Artistic-Social-Enterprising-Conventional) is the basis of the Interest
Profiler scales. Over the years, millions of people have taken the Interest Profiler. Its current
web-based version included in the My Next Move and Mi Proximo Paso websites, versions
incorporated by private and public application developers, and available paper-and-pencil
version continue to make it a widely disseminated and extensively used career exploration tool.
Use and integration of the Interest Profiler is offered free-of-charge via the O*NET Career
Exploration Tools Content License (https://www.onetcenter.org/license_tools.html).
Since its introduction, the Interest Profiler has undergone several revisions, producing three
forms of the Interest Profiler: IP Long-Form, IP Short-Form, and Mini-IP. During these revisions
and selection of items and formats, O*NET has published a series of reports that documented the
construction and validation of the Interest Profiler. This documentation published on the O*NET
website (https://www.onetcenter.org/research.html?c=IP_CIP) has met the spirit of Standards for
Educational and Psychological Testing (2014), providing information on scoring, reliability and
validity of scores, and participants reactions to the experience of completing and receiving score
interpretations.
The present Interest Profiler Technical Manual integrates prior scale developmental reports and
summarizes over 20 years of research on the Interest Profiler. The manual is written as chapters,
authored by students and graduates of Industrial and Organizational PhD programs at the
University of Illinois-Urbana-Champaign and the University of Houston. Topics covered include
an overview of the Interest Profiler (chapter 1), forms and versions (chapter 2), scoring and
reporting (chapter 3), item development (chapter 4), reliability (chapter 5), validity (chapter 6),
linkage to occupations (chapter 7), and international applications (chapter 8).
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List of Contributors
Authors listed below are in alphabetical order:
Chu Chu
Department of Psychology
University of Illinois at Urbana-Champaign
Kenneth E. Granillo-Velasquez
Department of Psychology
University of Houston
Alexis Hanna
Department of Management
University of Nevada, Reno
Kevin A. Hoff
Department of Psychology
University of Houston
Phil M. Lewis
National Center for O*NET Development
Hannah S. Nelson
Department of Psychology
University of Houston
James Rounds
Department of Psychology and Educational Psychology
University of Illinois at Urbana-Champaign
Tianjun Sun
Department of Psychology
University of Illinois at Urbana-Champaign
Colin J. M. Wee
Department of Psychology
University of Illinois at Urbana-Champaign
Bo Zhang
Department of Psychological & Brain Sciences
Texas A&M University
National Center for O*NET Development 4
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