Information about the characteristics of jobs and the individuals who fill them is valuable for career guidance, reemployment counseling, workforce development, human resource management, and other purposes. To meet these needs, the U.S. Department of Labor (DOL) in 1998 launched the Occupational Information Network (O*NET), which consists of a content model—a framework for organizing occupational data—and an electronic database. The O*NET content model includes hundreds of descriptors of work and workers organized into domains, such as skills, knowledge, and work activities. Data are collected using a classification system that organizes job titles into 1,102 occupations.The National Center for O*NET Development (the O*NET Center) continually collects data related to these occupations. In 2008, DOL requested the National Academies to review O*NET and consider its future directions. In response, the present volume inventories and evaluates the uses of O*NET; explores the linkage of O*NET with the Standard Occupational Classification System and other data sets; and identifies ways to improve O*NET, particularly in the areas of cost-effectiveness, efficiency, and currency.

Information about the characteristics of jobs and the individuals who fill them is valuable for career guidance, reemployment counseling, workforce development, human resource management, and other purposes. To meet these needs, the U.S. Department of Labor (DOL) in 1998 launched the Occupational Information Network (O*NET), which consists of a content model—a framework for organizing occupational data—and an electronic database. The O*NET content model includes hundreds of descriptors of work and workers organized into domains, such as skills, knowledge, and work activities. Data are collected using a classification system that organizes job titles into 1,102 occupations.The National Center for O*NET Development (the O*NET Center) continually collects data related to these occupations. In 2008, DOL requested the National Academies to review O*NET and consider its future directions. In response, the present volume inventories and evaluates the uses of O*NET; explores the linkage of O*NET with the Standard Occupational Classification System and other data sets; and identifies ways to improve O*NET, particularly in the areas of cost-effectiveness, efficiency, and currency.

This second edition of the Handbook of Employee Selection has been revised and updated throughout to reflect current thinking on the state of science and practice in employee selection. In this volume, a diverse group of recognized scholars inside and outside the United States balance theory, research, and practice, often taking a global perspective.

Divided into eight parts, chapters cover issues associated with measurement, such as validity and reliability, as well as practical concerns around the development of appropriate selection procedures and implementation of selection programs. Several chapters discuss the measurement of various constructs commonly used as predictors, and other chapters confront criterion measures that are used in test validation. Additional sections include chapters that focus on ethical and legal concerns and testing for certain types of jobs (e.g., blue collar jobs). The second edition features a new section on technology and employee selection.

The Handbook of Employee Selection, Second Edition provides an indispensable reference for scholars, researchers, graduate students, and professionals in industrial and organizational psychology, human resource management, and related fields.

This second edition of the Handbook of Employee Selection has been revised and updated throughout to reflect current thinking on the state of science and practice in employee selection. In this volume, a diverse group of recognized scholars inside and outside the United States balance theory, research, and practice, often taking a global perspective.

Divided into eight parts, chapters cover issues associated with measurement, such as validity and reliability, as well as practical concerns around the development of appropriate selection procedures and implementation of selection programs. Several chapters discuss the measurement of various constructs commonly used as predictors, and other chapters confront criterion measures that are used in test validation. Additional sections include chapters that focus on ethical and legal concerns and testing for certain types of jobs (e.g., blue collar jobs). The second edition features a new section on technology and employee selection.

The Handbook of Employee Selection, Second Edition provides an indispensable reference for scholars, researchers, graduate students, and professionals in industrial and organizational psychology, human resource management, and related fields.

Information about the characteristics of jobs and the individuals who fill them is valuable for career guidance, reemployment counseling, workforce development, human resource management, and other purposes. To meet these needs, the U.S. Department of Labor (DOL) in 1998 launched the Occupational Information Network (O*NET), which consists of a content model—a framework for organizing occupational data—and an electronic database. The O*NET content model includes hundreds of descriptors of work and workers organized into domains, such as skills, knowledge, and work activities. Data are collected using a classification system that organizes job titles into 1,102 occupations.The National Center for O*NET Development (the O*NET Center) continually collects data related to these occupations. In 2008, DOL requested the National Academies to review O*NET and consider its future directions. In response, the present volume inventories and evaluates the uses of O*NET; explores the linkage of O*NET with the Standard Occupational Classification System and other data sets; and identifies ways to improve O*NET, particularly in the areas of cost-effectiveness, efficiency, and currency.

Information about the characteristics of jobs and the individuals who fill them is valuable for career guidance, reemployment counseling, workforce development, human resource management, and other purposes. To meet these needs, the U.S. Department of Labor (DOL) in 1998 launched the Occupational Information Network (O*NET), which consists of a content model—a framework for organizing occupational data—and an electronic database. The O*NET content model includes hundreds of descriptors of work and workers organized into domains, such as skills, knowledge, and work activities. Data are collected using a classification system that organizes job titles into 1,102 occupations.The National Center for O*NET Development (the O*NET Center) continually collects data related to these occupations. In 2008, DOL requested the National Academies to review O*NET and consider its future directions. In response, the present volume inventories and evaluates the uses of O*NET; explores the linkage of O*NET with the Standard Occupational Classification System and other data sets; and identifies ways to improve O*NET, particularly in the areas of cost-effectiveness, efficiency, and currency.

This second edition of the Handbook of Employee Selection has been revised and updated throughout to reflect current thinking on the state of science and practice in employee selection. In this volume, a diverse group of recognized scholars inside and outside the United States balance theory, research, and practice, often taking a global perspective.

Divided into eight parts, chapters cover issues associated with measurement, such as validity and reliability, as well as practical concerns around the development of appropriate selection procedures and implementation of selection programs. Several chapters discuss the measurement of various constructs commonly used as predictors, and other chapters confront criterion measures that are used in test validation. Additional sections include chapters that focus on ethical and legal concerns and testing for certain types of jobs (e.g., blue collar jobs). The second edition features a new section on technology and employee selection.

The Handbook of Employee Selection, Second Edition provides an indispensable reference for scholars, researchers, graduate students, and professionals in industrial and organizational psychology, human resource management, and related fields.

This second edition of the Handbook of Employee Selection has been revised and updated throughout to reflect current thinking on the state of science and practice in employee selection. In this volume, a diverse group of recognized scholars inside and outside the United States balance theory, research, and practice, often taking a global perspective.

Divided into eight parts, chapters cover issues associated with measurement, such as validity and reliability, as well as practical concerns around the development of appropriate selection procedures and implementation of selection programs. Several chapters discuss the measurement of various constructs commonly used as predictors, and other chapters confront criterion measures that are used in test validation. Additional sections include chapters that focus on ethical and legal concerns and testing for certain types of jobs (e.g., blue collar jobs). The second edition features a new section on technology and employee selection.

The Handbook of Employee Selection, Second Edition provides an indispensable reference for scholars, researchers, graduate students, and professionals in industrial and organizational psychology, human resource management, and related fields.