| Literature DB >> 27769878 |
Peter E Clayson1, Gregory A Miller2.
Abstract
Generalizability theory (G theory) provides a flexible, multifaceted approach to estimating score reliability. G theory's approach to estimating score reliability has important advantages over classical test theory that are relevant for research using event-related brain potentials (ERPs). For example, G theory does not require parallel forms (i.e., equal means, variances, and covariances), can handle unbalanced designs, and provides a single reliability estimate for designs with multiple sources of error. This monograph provides a detailed description of the conceptual framework of G theory using examples relevant to ERP researchers, presents the algorithms needed to estimate ERP score reliability, and provides a detailed walkthrough of newly-developed software, the ERP Reliability Analysis (ERA) Toolbox, that calculates score reliability using G theory. The ERA Toolbox is open-source, Matlab software that uses G theory to estimate the contribution of the number of trials retained for averaging, group, and/or event types on ERP score reliability. The toolbox facilitates the rigorous evaluation of psychometric properties of ERP scores recommended elsewhere in this special issue.Keywords: Dependability; ERP Reliability Analysis Toolbox; Event-related potentials; Generalizability theory; Psychometrics
Mesh:
Year: 2016 PMID: 27769878 DOI: 10.1016/j.ijpsycho.2016.10.012
Source DB: PubMed Journal: Int J Psychophysiol ISSN: 0167-8760 Impact factor: 2.997