title: Evaluating single-case research data for systematic review: a commentary for the special issue.
abstract: The purpose of this commentary is to provide observation on the statistical procedures described throughout this special section from the perspective of researchers with experience in conducting systematic reviews and meta-analyses of single-case research to address issues of evidence-based practice. It is our position that both visual and statistical analyses are complimentary methods for evaluating single-case research data for these purposes. Given the recent developments regarding the use of single-case research to inform evidence-based practice and policy, the developments described in the present issue will be contextualized within the need for a widely accepted process for data evaluation to assist with extending the impact of single-case research. The commentary will, therefore, begin with providing an overview of the conceptual underpinnings of a systematic review of single-case research and will be followed by a discussion of several features that are essential to the development of a conceptually sound and widely used statistical procedure for single-case research. The commentary will conclude with recommendations and guidelines for the use of both visual and statistical analyses within primary research reports and recommendations for future research.
authors.affiliation: University of Illinois at Chicago, USA.
authors.forename: Daniel M
authors.initials: DM
authors.lastname: Maggin
authors.affiliation: University of North Carolina at Chapel Hill, USA.
authors.forename: Samuel L
authors.initials: SL
authors.lastname: Odom
mesh_terms: D003627:Data Interpretation, Statistical; D006801:Humans; D015201:Meta-Analysis as Topic; D012107:Research Design / Q000592:standards*; D012196:Review Literature as Topic
keywords: Effect size; Meta-analysis; Single-case research; Single-subject research; Systematic review