Cardinet, Jean; Johnson, Sandra & Pini, Gianreto (2010). Applying Generalizability Theory using EduG.

Generalizability Theory: Overview

36 Generalizability Theory

Generalizability (G) theory is a statistical theory for evaluating the dependability (or reliability) of behavioral measurements (Cronbach, Gleser, Nanda, & Rajaratnam, 1972; see also Brennan, 2001; Shavelson & Webb, 1991). G theory permits the researcher to address such questions as: Is the sampling of tasks or judges the major source of measurement error? Can I improve the reliability of the ...

Applying aspects of generalizability theory in preliminary validation of the Multifacet Interprofessional Collaboration Model (PINCOM)

OBJECTIVE Empirical assessment of the Interprofessional Collaboration (IPC) model within the framework of Generalizability Theory (GT). DESIGN AND PARTICIPANTS A multifacet data collection design served the purpose of examining the relationships between observed indicators representing a defined construct. Professionals working with children and adolescents (n=134), in the context of mental h...

Applying generalizability theory to examine the antecedents of perceived coach support.

Although social support is integral to the coaching process, there is only a limited understanding of the antecedents of perceived coach support. We applied generalizability theory to examine perceived coach support and its antecedents at perceiver, provider, and relational levels of analysis. Two studies were conducted in which athletes rated the degree to which they identified with a selectio...

Generalizability in Causal Inference: Theory and Algorithms

of the Dissertation Generalizability in Causal Inference: Theory and Algorithms