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ANALYSIS RESOURCES

GENERAL ANALYSIS PAPERS AND TUTORIALS

  • Gabler, N.B., Duan, N., Vohra, S., Kravitz, R.L. (2011). N-of-1 trials in the medical literature: a systematic review. Medical Care, 49(8). 761-768. Click here to access.

  • Manolov, R., Gast, D. L., Perdices, M., & Evans, J. J. (2014). Single-case experimental designs: Reflections on conduct and analysis. Neuropsychological Rehabilitation, 24(3-4), 634-660. Click here to access. 

  • Manolov, R., & Moeyaert, M. (2016). How can single-case data be analyzed? Software resources, tutorial, and reflections on analysis. Behaviour Modification, 41(2), 179-228. â€‹Click here to access.

  • Molenaar, P.C., Valsiner J. (2009). How generalization works through the single case: A simple idiographic process  analysis of an individual psychotherapy. YIS: Yearbook of idiographic science 1, 23-38. Click here to access. 

 

VISUAL ANALYSIS

  • Gast, D. (2014). Visual analysis of graphic data. In D. Gast & J.R. Ledford (Eds.) Single Case Research Methodology. Applications in Special Education and Behavioral Sciences (2nd ed). pp. 176-210. Routledge. Click here to access. 

  • Lane, J. D., & Gast, D. L. (2014). Visual analysis in single case experimental design studies: Brief review and guideline. Neuropsychological Rehabilitation, 24(3-4), 445-463. Click here to access. 

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EFFECT SIZE

  • Barton, E. E., Pustejovsky, J. E., Maggin, D. M., & Reichow, B. (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, 38(6), 371-386. Click here to access.

  • Chen, L.T., Wu P.J., Peng C.Y. (2019). Accounting for baseline trends in intervention studies: Methods, effect sizes, and software. Cogent Psychology, 6(1), 1679941. Click here to access.

  • Odom, S. L., Barton, E. E., Reichow, B., Swaminathan, H., & Pustejovsky, J. E. (2018). Between-case standardized effect size analysis of single case designs: Examination of the two methods. Research in Developmental Disabilities, 79, 88-96. Click here to access. 

  • Parker, R.I. & Vannest, K. (2009). An improved effect size for single-case research: Nonoverlap of all pairs. Behavior Therapy. 2009 Dec 1;40(4):357-67. Click here to access. 

 

TAU-U

  • Brossart, D. F., Laird, V. C., & Armstrong, T. W. (2018). Interpreting Kendall’s Tau and Tau-U for single-case experimental designs. Cogent Psychology, 5(1), 1518687. Click here to access. 

  • Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011). Combining nonoverlap and trend for single-case research: Tau-U. Behavior Therapy, 42(2), 284-299. Click here to access. 

  • Tarlow, K. R. (2017). An improved rank correlation effect size statistic for single-case designs: Baseline corrected Tau. Behavior Modification, 41(4), 427-467. Click here to access.

  • Tau-U calculator. Click here to access.

  • Baseline Corrected Tau calculator. Click here to access.

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

  • Shadish, W. R., Hedges, L. V., Pustejovsky, J. E., Boyajian, J. G., Sullivan, K. J., Andrade, A., & Barrientos, J. L. (2014). A d-statistic for single-case designs that is equivalent to the usual between-groups d-statistic. Neuropsychological Rehabilitation, 24(3-4), 528-553. Click here to access. 

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

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STATISTICAL ANALYSIS

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Sample Size Considerations

  • Senn, S. (2019). Sample size considerations for n-of-1 trials. Statistical Methods in Medical Research, 28(2), 372-383. Click here to access. 

 

Dynamic Regression Modelling 

  • 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(3), 222-234. Click here to access. 

  • McDonald, S., Vieira, R., & Johnston, D. W. (2020). Analysing N-of-1 observational data in health psychology and behavioural medicine: a 10-step SPSS tutorial for beginners. Health Psychology and Behavioral Medicine, 8(1), 32-54.​ Click here to access.

 

Randomization Tests

  • Bouwmeester, S., & Jongerling, J. (2020). Power of a randomization test in a single case multiple baseline AB design. PLoS One, 15(2), e0228355. Click here to access.

  • Lall, V. F., & Levin, J. R. (2004). An empirical investigation of the statistical properties of generalized single-case randomization tests. Journal of School Psychology, 42(1), 61-86. Click here to access.

 

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. Click here to access. 

 

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(S01), e10-e21. Click here to access. 

 

Accounting for Missing Data

  • Chen, L. T., Feng, Y., Wu, P. J., & Peng, C. Y. J. (2020). Dealing with missing data by EM in single-case studies. Behavior Research Methods, 52, 131-150. Click here to access.

  • De, T. K., Michiels, B., Tanious, R., & Onghena, P. (2020). Handling missing data in randomization tests for single-case experiments: A simulation study. Behavior Research Methods, 52, 1355-1370. Click here to access.

 

Simulation

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Aggregation and Meta-Analysis

 

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, 30(4), 641-672. Click here to access.

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WEBSITES

  • Manolov, R. (2019). List of single-case data analysis software tools. A collection of analysis resources for SCEDs on the Open Science Framework. Click here to access.

  • Manolov, R., Moeyaert, M., & Evans, J. J. (2015). Resources and guidelines for analysing SCED data. Click here to access.

  • Vannest, K.J., Parker, R.I., Gonen, O., & Adiguzel, T. (2016). Single Case Research: web based calculators for SCR analysis (Version 2.0). Click here to access.

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