Psychology: Techniques and Application

Psychology: Techniques and Application ›› 2018, Vol. 6 ›› Issue (2): 89-99.doi: 10.16842/j.cnki.issn2095-5588.2018.02.004

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Statistical Analyses in SingleSubject Experiment Research: Effect Sizes based on NonOverlap Methods

XU Zhiqi; XIN Ziqiang   

  1. (School of Sociology and Psychology, Central University of Finance and Economics, Beijing 100081, China)
  • Online:2018-02-01 Published:2018-02-01

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Abstract: Singlesubject experiment usually yields ecologically valid results. However, the lack of statistical analyses hindered the application of singlesubject experiment and the promotion of the results. Effect sizes based on nonoverlap methods, free from the constraints of assumptions made in parametric statistics, are suitable to apply to statistical analyses in singlesubject experiment research. In recent years, more than 10 methods have emerged, among which 5 methods (namely, extended celeration line (ECL), percentage of nonoverlapping data (PND), improvement rate difference (IRD), nonoverlap of all pairs (NAP), and Tau for nonoverlap with baseline trend control (Tau-U)) are rather typical. In selection of the indicators of effect sizes, decisions should be made based on data characteristics, data trend and the discrimination power, accuracy and statistical power of indicators. For the sake of the comparison, promotion of results and the followup metaanalysis, the future use of effect sizes based on nonoverlap methods should be encouraged.

Key words: singlesubject experiment; effect sizes; nonoverlap methods

CLC Number: 

  • B841.4
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