Robert Guion’s best seller is now available in this new second edition. This noted book offers a comprehensive and practical view of assessment –based personnel decisions not available elsewhere in a single source. This edition more frankly evaluates the current research and practice and presents challenges that will change the basic thinking about staffing systems.
This new edition suggests new directions for research and practice, includes emphasis on modern computers and technology useful in assessment, and pays more attention to prediction of individual growth and globalization challenges in the assessment process. The book will be of interest to faculty and students in Industrial Organizational psychology, human resource management and business. IO psychologists in private business and public sector organizations who have responsibilities for staffing and an interest in measurement and statistics will find this book useful.
Table of Contents
Part 1. Foundations for Personnel Decisions. 1. Membership Decisions in Organizations. 2. Analysis of Selection Problems. 3. Developing the Predictive Hypothesis. 4. The Legal Context for Personnel Decisions. Part 2. Psychometric and Statistical Foundations 5. Basic Concepts in Measurement. 6. Further Concepts in Measurement. 7. Bivariate Prediction of Performance. 8. The Use of Multivariate Statistics. 9. Bias, Group Differences, and Adverse Impact. Part 3. Assessment Methods: Practice and Research 10. Challenges to Traditional Ways. 11. Assessments by Tests and Inventories. 12. Judgement as Assessment and Prediction. 13. Assessment by Rating. 14. Assessment by Interviews, Resumes, and "Assembled Tests." 15. Multiple Assessment Methods.
Robert M. Guion is the father of the IO field. Bob received his PhD from Purdue University in 1952 (under C. H. Lawshe). He has taught at UC Berkeley and mostly Bowling Green all his life. He is the father of the EEOC (equal employment act) adopted in our country in 1968. His longstanding belief is that those who study organizational environments, leadership and aspects of work motivation all must pay greater heed to competence in measurement if they are to work toward the development of a fundamental, generalizable science that will promote human welfare at work.