Brian E. Clauser – författare

The History of Educational Measurement collects essays on the most important topics in educational testing, measurement, and psychometrics. Authored by the field’s top scholars, this book offers unique historical viewpoints, from origins to modern applications, of formal testing programs and mental measurement theories. Topics as varied as large-scale testing, validity, item-response theory, federal involvement, and notable assessment controversies complete a survey of the field’s greatest challenges and most important achievements. Graduate students, researchers, industry professionals, and other stakeholders will find this volume relevant for years to come.

The History of Educational Measurement collects essays on the most important topics in educational testing, measurement, and psychometrics. Authored by the field’s top scholars, this book offers unique historical viewpoints, from origins to modern applications, of formal testing programs and mental measurement theories. Topics as varied as large-scale testing, validity, item-response theory, federal involvement, and notable assessment controversies complete a survey of the field’s greatest challenges and most important achievements. Graduate students, researchers, industry professionals, and other stakeholders will find this volume relevant for years to come.

This special issue was motivated by the move from research to operations for computerized delivery and scoring of complex constructed response items. The four papers presented provide an overview of the state of the art for such applications. The issue begins by describing the range of computer delivered formats and computerized scoring systems that are currently in use. The remaining papers provide three views of validity in the context of computer delivered and scoring assessments. It is hoped that together, these articles will provide the reader with both an appreciation of the state of the art for computer-automated scoring systems, as well as a perspective on the issues that must be considered and the evidence that must be collected to produce automated scoring systems that allow for valid inference.