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Full Description
The field of workplace assessment is at a critical stage in its evolution. The intersection of new technologies, globalization, and market shifts among assessment providers has created dramatic opportunities for the field along with some significant challenges. Artificial intelligence (AI) and other technological advances have altered what is possible in talent acquisition. As a new generation of technology-driven applications comes of age, a host of new issues and opportunities have emerged that require assessment professionals to respond with an informed perspective that balances return-on-investment priorities with appropriate professional and scientific rigor.
In response to this context, this volume focuses on trends and innovations in talent assessment, framing practical solutions for managing the disruption in assessment while incorporating new insights and technologies into organizational assessment programs. Featuring chapters from consultants and technologists pushing the edges of what's possible with new tools, to professionals putting them into practice, and attorneys who focus on minimizing risk, this volume examines these disruptive forces from all sides. The chapters are grouped into four sections that cover (1) advances in the foundational science of assessment, (2) technology-related innovations, (3) updates to regulations, principles, and standards, and (4) assessment for development. Including a variety of case studies that describe talent assessment in action and how organizations of varying sizes develop and implement assessment programs, this book is ideal for practitioners and academics in the field.
Contents
SECTION 1: INTRODUCTION: THEMES, STRUCTURE, MAJOR TOPICS OF THIS VOLUME
1. Context and Overview
Tracy M. Kantrowitz, Douglas H. Reynolds, and John C. Scott
SECTION 2: ADVANCES IN THE FOUNDATIONAL SCIENCE OF ASSESSMENT AND SUPPORTING TECHNOLOGIES
2. When Worlds Collide: Using What We Know About Machine Learning to Inform Assessment Practices
Ann Marie Ryan, Anthony S. Boyce, and Christine E. Boyce
3. Methodological Updates in Personality Assessment for High- Stakes Use Â
Adam W. Meade and Luke I. Priest
4. Advances in Cognitive Ability Assessment in the Mitigation of Group Differences
Charles A. Scherbaum, Harold W. Goldstein, Kenneth P. Yusko, Elliott Larson, Annie Kato, Kajal Patel, and Yuliya Cheban
5. Applying Natural Language Processing to Assessment
MQ Liu
6. Personality Assessment: Past, Present, and Future
Ryne A. Sherman and Robert Hogan
7. Reflections on Advancements in Assessment
Neal Schmittvi
SECTION 3: INNOVATIONS AND TRENDS
8. Artificial Intelligence in Automated Scoring of Video Interviews
Nathan Mondragon
9. Social Media Data in Assessments
Daly Vaughn and Marc Cubrich
10. Transforming Leadership Assessment Using Natural Language Processing
Scott Tonidandel and Betsy H. Albritton
11. Mobile- Enabled Assessment in the Modern Talent Landscape
Darrin M. Grelle and Sara L. Gutierrez
12. Technology- Enabled Simulation in Selection: Opportunities and Cautions
Seymour Adler and Sarena Bhatia
13. Fixing the Industrial- Organizational Psychology- Technology Interface (IOPTI): Avoiding Both IO/ Tech and Tech/ IO Conflict
Richard N. Landers
SECTION 4: REGULATIONS, PRINCIPLES, AND STANDARDS
14. Balancing Innovation and Professional Standards for Employment Tests
Nancy T. Tippins
15. Data Privacy Implications of Assessment Technology
Katheryn A. Andresen
16. Potential Impact of Disabilities and Neurodiversity on the Constructs Measured by Selection Procedures
Jone M. Papinchock, Angela L. Rosenbaum, and Eric M. Dunleavy
17. Reflections on Legal and Standards Update: Opportunity Meets Reality
Kenneth M. Willner, Kathleen K. Lundquist, and Claire Saba Murphy
SECTION 5: ASSESSMENT FOR DEVELOPMENT
18. Coaching- Centric Assessments: Deep Data to Fuel Guided Growth
Evan F. Sinar
19. From Tried and True to Shiny and New: Current Best Practices in Assessment for Development and the New Technologies That Will Soon Replace Them
Matt Paese and Georgi Yankov
20. Maximizing the Effectiveness of Assessment- Rich Leadership Development Programs
Sarah Stawiski and Cynthia D. McCauley
21. Reflections on Assessment for Development
Lynn Collins and José David
SECTION 6: CASE STUDIES
22. Connecting People and Opportunities With Artificial Intelligence
Robert E. Gibby and Adam J. Ducey
23. Applications of High- Stakes Rich- Media Simulations
Suzanne Tsacoumis
24. Psychoneurometric Assessments for High-Risk Jobs
Brennan D. Cox, Dan McHail, Kyle Pettijohn, and Tatana Olson
25. Gamified Assessments for Prehire Evaluation
Christina Norris- Watts, Kathleen E. Hall, and Nathan Mondragon
26. The Full (Assessment) Monty: Accelerating Individual and Organizational Development
Matt Dreyer, Vicki Walia, Sandra Hartog, and Lynn Collins
27. Driving Company Growth and Leader Development: Innovations from Asia
James D. Eyring
28. Assessment in a Large Multinational
Paul van Katwykviii Contents
SECTION 7: CONCLUSIONS AND FUTURE DIRECTIONS
29. Putting the Pieces Together: Reflections on the Next Chapter of Assessment Progress
Paul R. Sackett
30. Optimizing the Value of Assessments Through Myth Busting and Stakeholder Communications
Gina Seaton and Allan H. Church
31. Venture Capital: Friend or Foe for Talent Assessment?
Darko Lovric
32. Making Progress on Diversity: The Promise of Inclusive Leadership
Kathleen K. Lundquist and Robert E. Lewis
33. Themes and Directions
Douglas H. Reynolds, Tracy M. Kantrowitz, and John C. Scott
