Convergent evidence scaling for multiple assessment indicators: Conceptual issues, applications, and technical challenges

The purpose of this article is to present Convergent Evidence Scaling (CES) as an emergent method for combining data from multiple assessment indicators. The CES method combines single-case assessment data by converging data gathered across multiple persons, settings, or measures, thereby providing an overall criterion-referenced outcome on which to base decisions. Examples are described using CES for monitoring treatment integrity and for treatment evaluation to demonstrate the use of the method within consultation problem-solving and response-to-intervention models. The article concludes with a discussion of the strengths and limitations of the CES method.