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Biodata Handbook : Theory, Research, & Use of Biographical Information in Selection and Performance

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Title: Biodata Handbook : Theory, Research, & Use of Biographical Information in Selection and Performance
Author: Garrett S. Stokes Michael D. Mumford Williams Owens
ISBN: 0891060634 / 9780891060635
Format: Hard Cover
Pages: 650
Publisher: CPP BOOKS
Year: 1994
Availability: Out of Stock
  • Feature

Introduction and History

Section I : Biodata Item Development
Chapter 1. : The Nature of Biodata
Chapter 2. : Generation Procedures for Biodata Items: A Point of Departure
Chapter 3. : The Role of Job Analysis in Establishing the Validity of Biodata

Section II : Scaling of Biodata Measures
Chapter 4. : Empirical Keying of Background Data Measures
Chapter 5. : Construct-Oriented Scale Construction: The Rational Approach
Chapter 6. : Developing and Using Factorially Derived Biographical Scales
Chapter 7. : Scaling Biodata Through Subgrouping Michael Hein

Section III : Issues in Validation and Application
Chapter 8. : Validating Biodata
Chapter 9. : Application of Validity Generalization to Biodata Scales in Employment Selection
Chapter 10. : Blue Collar Selection
Chapter 11. : Federal Government Selection: The Individual Achievement Record
Chapter 12. : Selection Using Biodata: Old Notions Revisited
Chapter 13. : The Impact of Legal and Equal Employment Opportunity Issues on Personal History Inquiries
Chapter 14. : Accuracy and Faking of Background Data

Section IV : Contributions of Biodata to Organizations
Chapter 15. : Biodata: An Organizational Focus Benjamin Schneider
Chapter 16. : Biodata Applications in Career Development Research and Practice
Chapter 17. : The Utility of Biodata

Section V : Theoretical Issues
Chapter 18. : Big Five, Structural Modeling, and Item Response Theory
Chapter 19. : The Influence of Life History Experiences on Vocational Interests and choices
Chapter 20. : Background Data and Development: Structural Issues in the Application of Life History Measures
Chapter 21. : Personality and Background Data: Life History and Self-Concepts in an Ecological System


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