Commentary on PND at 25

The author provides commentary on the scientific enterprise of single-case meta-analysis, including experiences with and use of the percentage of nonoverlapping data statistic. The author provides a brief review and commentary on the benefits and liabilities of the PND statistic as well as other effect size metrics. The article includes general commentary about the perception and position of single-subject meta-analysis and its use to inform health insurance decision making in the field of autism. The commentary ends with predictions and recommendations for single-case meta-analysis in the next 25 years.

[1]  R. Didden,et al.  Meta-analytic study on treatment effectiveness for problem behaviors with individuals who have mental retardation. , 1997, American journal of mental retardation : AJMR.

[2]  L. Hedges,et al.  The Handbook of Research Synthesis and Meta-Analysis , 2009 .

[3]  Kimberly J. Vannest,et al.  Effect Size in Single-Case Research: A Review of Nine Nonoverlap Techniques , 2011, Behavior modification.

[4]  Kimberly J. Vannest,et al.  Percentage of All Non-Overlapping Data (PAND) , 2007 .

[5]  B. Gorman,et al.  Design and Analysis of Single-Case Research , 1996 .

[6]  Erin E. Barton,et al.  Comparison of Overlap Methods for Quantitatively Synthesizing Single-Subject Data , 2010 .

[7]  Allison Gorman Faith,et al.  Meta-analysis of Single-Case Research , 2014 .

[8]  Thomas E. Scruggs,et al.  The Quantitative Synthesis of Single-Subject Research , 1987 .

[9]  Daniel M. Maggin,et al.  A Quantitative Synthesis of Methodology in the Meta-Analysis of Single-Subject Research for Students with Disabilities: 1985–2009 , 2011 .

[10]  Jonathan M. Campbell,et al.  Statistics and Single Subject Research Methodology , 2009 .

[11]  David L. Gast,et al.  Single subject research methodology in behavioral sciences , 2010 .

[12]  L. Hedges,et al.  RESEARCH SYNTHESIS AS A SCIENTIFIC PROCESS , 2009, The Handbook of Research Synthesis and Meta-Analysis.

[13]  P. Onghena,et al.  Combining single-case experimental data using hierarchical linear models. , 2003 .

[14]  Kimberly J. Vannest,et al.  The Improvement Rate Difference for Single-Case Research , 2009 .

[15]  Patrick Onghena,et al.  Efficacy of behavioral interventions for reducing problem behavior in persons with autism: an updated quantitative synthesis of single-subject research. , 2014, Research in developmental disabilities.

[16]  Jonathan M. Campbell.  Statistical Comparison of Four Effect Sizes for Single-Subject Designs , 2004, Behavior modification.

[17]  Ralf W. Schlosser,et al.  Application of the percentage of non-overlapping data (PND) in systematic reviews and meta-analyses: A systematic review of reporting characteristics , 2008 .

[18]  Donald M. Baer,et al.  Meta-analysis for Single-Subject Research , 1987 .

[19]  Hsen-Hsing Ma.  An Alternative Method for Quantitative Synthesis of Single-Subject Researches , 2006, Behavior modification.

[20]  W. Shadish,et al.  The state of the science in the meta-analysis of single-case experimental designs , 2008 .

[21]  J. R. Scotti,et al.  A meta-analysis of intervention research with problem behavior: treatment validity and standards of practice. , 1991, American journal of mental retardation : AJMR.

[22]  David Rindskopf,et al.  Methods for evidence‐based practice: Quantitative synthesis of single‐subject designs , 2007 .

[23]  Intensive Behavioral Therapy for the Treatment of Autism Spectrum Disorders , 2014 .

[24]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2010, International journal of surgery.

[25]  Robert H. Horner,et al.  Single-Case Designs Technical Documentation. , 2010 .