Stetz Test Bias in Employment Selection Testing

A Visual Introduction
Erscheinungsjahr 2022
ISBN: 978-3-030-89925-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 87 Seiten

Reihe: Business and Management (R0)

This book provides students with a concise introduction to test bias from a psychometric point-of-view without statistics. It uses easy to understand graphs to explain complex technical approaches to test bias giving readers a highly sought-after knowledge enabling them to be better consumers of tests.

Studies performed by the Society for Human Resource Management (SHRM) consistently show that selection is a key competency for Human Resource (HR) professionals. Knowledge of test bias is a key component to effectively and legally performing this highly valued HR function. Unfortunately, test bias is rarely covered in HR classes or is presented in a highly technical manner geared to individuals with strong statistical and mathematical backgrounds. This book, requiring no previous statistical or mathematical knowledge, can be used as a supplemental textbook for any class that deals with selection, staffing, or measurement at the undergraduate or graduate level.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Stetz, Thomas A.

Inhaltsverzeichnis

Chapter 1: Introduction to Tests and Test Bias.- Chapter 2: Linear Regression.- Chapter 3: Differential Test Prediction.- Chapter 4: Measurement Variance.- Chapter 5: Differential Item Functioning.- Chapter 6: The 4/5ths Rule.- Chapter 7: Case Studies.- Glossary.

Über Autor(innen)

Thomas Stetz is Associate Professor in the Department of Public Service of the College of Professional Studies at Hawaii Pacific University (Honolulu, HI USA) where he teaches human resource development and psychology courses. His experience includes 22 years as a Research Psychologist at three U.S. Federal government agencies.  His work has included developing high stakes selection testing programs, as well as developing a variety of human resources programs, processes, and systems.