Psychology: Techniques and Application

Psychology: Techniques and Application ›› 2019, Vol. 7 ›› Issue (5): 266-275.doi: 10.16842/j.cnki.issn2095-5588.2019.05.001

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Randomization Tests for Experimental Data Using R

  

  1. (1 Department of Social Psychology, Nankai University, Tianjin 300350, China)
    (2 Department of Psychology and Behavioral Science, Hangzhou 310007, China)
  • Online:2019-05-01 Published:2019-04-30

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Abstract: Randomization tests are based on the randomization distribution of one chosen statistic derived from all the possible random assignment results of experimental treatments to determine experimental effects. Compared with the statistical inference based on sampling distribution, which derived from resampling from one well defined population, randomization tests do not need the assumption of population normality, and thus is a more appropriate inference framework for randomized experiments, especially in the case of small sample size or when outliers exist. With the free and open source software R and its powerful packages, randomization tests of mean differences as well as other statistics for two or more treatments can be applied efficiently. But it still needs further promotion in the education process and application of psychological statistics.

Key words: randomization distribution, randomization tests, test of significance, permutation tests, psychological statistics

CLC Number: 

  • B841.2
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