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What is Item Response Theory

Handbook of Research on Information Technology Management and Clinical Data Administration in Healthcare
A school of psychometric thought that holds that individual responses to questions on a survey are a probabilistic function of both respondent traits, as well as traits inherent to the questions themselves.
Published in Chapter:
Health-Related Quality of Life Measures in the Information Age
Kevin Warrian (University of Western Ontario, Canada) and George Spaeth (Jefferson Medical College and Wills Eye Institute, USA)
DOI: 10.4018/978-1-60566-356-2.ch045
Abstract
This chapter provides an introduction to a variety of essential issues concerning quality of life (QoL) as a social-scientific construct. The chapter begins with an introduction to the notion of QoL as an essentially contested concept and provides a taxonomy for classifying various instruments. The various methods of operationalizing the measurement of health-related quality of life (HRQoL) are outlined and a variety of practical examples are provided. A range of methods of determining the validity, reliability, and responsiveness of QoL measures are discussed to provide the reader with the tools necessary to critically evaluate the broad range of QoL instruments available. Finally, the scope of employment of QoL instruments is explored and several important limitations of this mode of assessment are discussed.
Full Text Chapter Download: US $37.50 Add to Cart
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Unveiling the Potential of Learning Analytics in Game-Based Learning: Case Studies With a Geometry Game
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Mitigation of Test Bias in International, Cross-National Assessments of Higher-Order Thinking Skills
Theory grounded on the idea that the probability of a correct response to an item on an assessment is a mathematical function of person and item parameters.
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