Analysis resources

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International Collaborative Network for

N-of-1 Clinical Trials and Single-Case Designs

ANALYSIS RESOURCES

GENERAL ANALYSIS PAPERS AND TUTORIALS

Manolov (2019). List of single-case data analysis software tools. A collection of analysis resources for SCEDs on the Open Science Framework. (website)

Manolov & Moeyaert (2016). How can single-case data be analyzed? Software resources, tutorial, and reflections on analysis. Behaviour Modification, 41, 179-228

Manolov, Moeyaert, Evans (2015). Resources and guidelines for analysing SCED data. (website)

Manolov, Gast, Perdices, Evans (2014). Single-case experimental designs: Reflections on conduct and analysis. Neuropsychological Rehabilitation, 24, 634-660.

VISUAL ANALYSIS

Gast. (2014). Visual analysis of graphic data. In Gast and Ledford (Eds.) Single Case Research Methodology. Applications in Special Education and Behavioral Sciences (2nd Ed). pp. 176-210. New York, NY: Routledge

Lane & Gast. (2014). Visual analysis in single case experimental design studies: Brief review and guideline, Neuropsychological Rehabilitation, 24, 445-463.

EFFECT SIZE

Tau-U

Parker, Vannest, Davis & Sauber. (2011). Combining non-overlap and trend for single-case research: Tau-U. Behavior Therapy, 35, 202-322.

Vannest, Parker, Gonen & Adiguzel. (2016). Single Case Research: web based calculators for SCR analysis. (website)

Tau-U calculator

d statistic

(The d statistic was specifically developed for analysis of SCEDs and is comparable to Cohen’s d for between group differences)

Shadish, Hedges, Pustejovsky, Boyajian, Sullivan, Andrade, Barrientos (2014). A d-statistic for single-case designs that is equivalent to the usual between-groups d-statistic. Neuropsychological Rehabilitation, 24, 528-553.

Shadish (2015). A manual on SPSS® macros to calculate d for both WRDs and multiple baseline designs.

Marso & Shadish (2015). Software for meta-analysis of single-case designs: DHPSmacro

Odom, Barton, Reichow, Swaminathan & Pustejovsky (2018). Between-case standardized effect size analysis of single case designs: Examination of the two methods. Research in developmental disabilities,

Barton, Pustejovsky, Maggin & Reichow (2017). Technology-aided instruction and intervention for students with ASD: A meta-analysis using novel methods of estimating effect sizes for single-case research. Remedial and Special Education,

STATISTICAL ANALYSIS

Dynamic regression modelling for single-case observational data

Vieira, R., McDonald, S., Araújo-Soares, V., Sniehotta, F. F., & Henderson, R. (2017). Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies. Health psychology review, 11, 222-234.

Bayesian analysis for N-of-1 Trials

Mengersen, McGree & Schmid (2015). Statistical Analysis of N-of-1 Trials. In Nikles & Mitchell (Eds.) The Essential Guide to N-of-1 Trials in Health. Springer Netherlands

N-of-1 Studies Counterfactual Framework

Daza (2018) Causal Analysis of Self-tracked Time Series Data Using a Counterfactual Framework for N-of-1 Trials. Methods of Information in Medicine, 57, e10-e21

AGGREGATION AND META-ANALYSIS

Mengersen, McGree & Schmid (2015). Systematic review and meta-analysis using N-of-1 trials. In Nikles & Mitchell (Eds.) The Essential Guide to N-of-1 Trials in Health, p211. Springer Netherlands

EXAMPLE PAPERS DEMONSTRATING VISUAL AND STATISTICAL ANALYSIS

Tate, Wakim, Sigmundsdottir & Longley (2018). Evaluating an intervention to increase meaningful activity after severe traumatic brain injury: A single-case experimental design with direct inter-subject and systematic replications. Neuropsychological Rehabilitation. (published online).