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Special Issue Call for Papers

Advances in Statistical Analysis and Meta-analysis of Single-Case Experimental Designs

This upcoming special issue of Evidence-based Communication Assessment and Intervention (EBCAI) will focus on current developments in statistical analysis and meta-analysis of single-case experimental designs (SCEDs).

SCEDs are an essential methodology to evaluate treatment effects in individual participants, particularly for low-incidence populations such as severe communication disorders. With increased awareness of the limitations of visual inspection to interpret SCED data, more and more attention has been paid to statistical analysis and meta-analysis of these designs. A growing literature across an interdisciplinary body of research journals has addressed issues of proper statistical analysis, validity and utility of different effect size metrics for SCEDs, and methods for SCED meta-analysis. Despite great interest and new developments, individual SCED reports as well as their syntheses still vary greatly in approaches to data-analysis and statistical aggregation; a consensus or gold standard is still not in sight. The state of the literature remains splintered and creates difficulty for applied researchers to select suitable procedures and for consumers to identify inferential shortcomings of published reports and syntheses.

This call for papers seeks manuscripts that explore the current “state of the art” in statistical analysis, effect size metrics, and methods for meta-analyzing SCEDs. Contributions should be of interest to both methodologists and applied researchers aiming to identify and enhance evidence-based treatment approaches through empirically sound, high quality SCED products.

Evidence-Based Communication Assessment and Intervention

Evidence-Based Communication Assessment and Intervention (EBCAI) brings together professionals who work in clinical and educational practice as well as researchers from all disciplines to promote evidence-based practice (EBP) in serving individuals with communication impairments.

Publisher: Taylor & Francis

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Submissions can include but are not limited to topics such as:

  • Benefits and drawbacks of various methods for quantifying the magnitude of treatment effect in SCEDs
  • New approaches or refinements of existing procedures related to using regression-based methods, multi-level models or randomization tests to estimate and aggregate treatment effects
  • Comparisons of various analytic methods (e.g., multi-level models and randomization tests) in terms of their relative power for detecting treatment effects in SCEDs
  • Explorations of Bayesian methods when only a small number of SCED reports are available for meta-analysis
  • Discussions of and investigations into the characteristics of SCED data including issues of autocorrelation, heterogeneity of variances across participants, trend in the data and resulting consequences for choosing proper statistical (meta-)analysis procedures
  • Systematic reviews of the current state of the science regarding the use of newer data analytic and meta-analytic procedures for SCED data
  • Calls for and development efforts regarding appraisal tools for meta-analyses of SCEDs

Submission guidelines

Potential authors should email a title and abstract describing their proposed submission to both guest editors, Dr. David Rindskopf (drindskopf@gc.cuny.edu) and Dr. Oliver Wendt (oliver.wendt@ucf.edu) by January 31, 2019.

Decisions regarding invitations to submit the manuscript for full peer review for either the special issue or a later issue will be communicated to authors by February 28, 2019.

Authors invited to submit their completed manuscript for the special issue will be asked to submit for full peer review by May 31, 2019. The anticipated publication date for the special issue is March 2020.

Submit your manuscript

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