2011
DOI: 10.32728/mo.06.1.2011.06
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Application of Mann-Whitney U Test in Research of Professional Training of Primary School Teachers

Abstract: This paper presents the Mann-Whitney U Test statistical technique used in statistics to examine differences between two independent groups on a continuous scale. This test is a non-parametric alternative to the t-test for independent samples. Unlike the t-test which compares mean values between two groups, Mann-Whitney U Test compares their median. In researches of the professional development of teachers of primary schools, the most commonly used criterion variables were gender (male, female), education (coll… Show more

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Cited by 42 publications
(29 citation statements)
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“…Validity test using the Spearman Rank correlation (Equation 1) because all the results of the processing have non-normal distribution (Setiawan et al, 2019). Data prove to be valid as indicated by the minimum significance value of 0.05, thus analysis can be continued using the Mann-Whitney U-Test as presented in Equations 2 (Dadson, 2017;Milenovic, 2011;Sanyé-Mengual et al, 2018). Details about the data analysis stage is presented in Figure 2.…”
Section: Discussionmentioning
confidence: 99%
“…Validity test using the Spearman Rank correlation (Equation 1) because all the results of the processing have non-normal distribution (Setiawan et al, 2019). Data prove to be valid as indicated by the minimum significance value of 0.05, thus analysis can be continued using the Mann-Whitney U-Test as presented in Equations 2 (Dadson, 2017;Milenovic, 2011;Sanyé-Mengual et al, 2018). Details about the data analysis stage is presented in Figure 2.…”
Section: Discussionmentioning
confidence: 99%
“…The data were positively skewed due to the large number of (0) values within the variance, thus the mean will not be a good representation of the data. Instead, the data were presented with the mean rank of the mentioned test [ 20 ]. The p -value generated from the statistical test was used to demonstrate the significant difference between the control and expanded tissues, considering significance at p ≤ 0.05, and with respect to a two-tailed probability distribution.…”
Section: Methodsmentioning
confidence: 99%
“…Chi-square test at 0.05 significance level was undertaken to test the dependences between nominal variables (Kozel et al, 2017). For values measured on ordinary scale, Mann-Whitney U test, as an alternative non-parametric statistical technique (when the data are not normally distributed) to a t-test was calculated to compare whether the medians of two data sets are equal (Milenović, 2011). Cramer's V coefficient (for nominal variables when the number of rows and columns or both is greater than two), Phi coefficient (for 2×2 contingency table with nominal variables) and Eta coefficient (to determine the degree of association between interval and nominal variables) were counted to prove the strength of relationship between variables, using these descriptors to interpret the coefficients: 0.00 and under 0.10 -negligible association, 0.10 and under 0.20 -weak association, 0.20 and under 0.40 -moderate association, 0.40 and under 0.60 -relatively strong association, 0.60 and under 0.80 -strong association, 0.80 and under 1.00 -very strong association (Rea and Parker, 2014).…”
Section: Methodsmentioning
confidence: 99%