Generalizability theory

Shavelson and Webb walk readers through the reasoning behind generalizability theory, approaching the subject from an accessible angle rather than through dense formal proof. The book moves through the main ideas step by step, starting with the basic logic of the framework before turning to more involved structures.

The chapters examine generalizability studies that involve nested facets and others that involve fixed facets. They also explain how measurement error is quantified, how generalizability coefficients are derived and interpreted, and how decision studies can be designed using either the same or different measurement designs.

Worked examples, illustrations and practice exercises run throughout, helping readers grasp the principles and apply them to their own work. The book suits anyone who needs to check how consistent their measurements are, from researchers to students learning measurement methods.