Description
Book SynopsisThe 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.
Table of ContentsSECTION 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 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
