TY  - GEN
AB  - 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.
AU  - Stetz, Thomas A.,
CN  - HF5549.5.E5
CY  - Cham, Switzerland :
DA  - 2022.
DO  - 10.1007/978-3-030-89925-7
DO  - doi
ID  - 1444034
KW  - Test bias.
KW  - Employment tests.
KW  - Biais dans les tests.
KW  - Personnel
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89925-7
N2  - 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.
PB  - Springer,
PP  - Cham, Switzerland :
PY  - 2022.
SN  - 9783030899257
SN  - 303089925X
T1  - Test bias in employment selection testing :a visual introduction /
TI  - Test bias in employment selection testing :a visual introduction /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89925-7
ER  -