Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline.

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Why is assessment so important in the teaching-learning process?

How should we assess pupils in the primary classroom?

Assessing Learning in the Primary Classroom is an accessible introduction to the concepts critical to a professional understanding of this vital aspect of a teacher s role. It comprehensively considers the principles underpinning effective assessment, the different forms it can take and the different purposes it serves, both within and beyond the classroom.

Linking the latest research and...