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Several approaches can be employed for data analysis in this kind of studies [55, 56].
The flow of data analysis in this paper is depicted in Fig. 6.
The data analysis in this study was performed with the software Graphpad Prism 5.0.
This paper reviews and critically discusses the methods available for data analysis in this test and proposes some new approaches.
The data analysis in this study was guided by the fact that the research is both qualitative and quantitative in nature.
The data analysis in this study was initially performed using SPSS 21 with verification of homogeneity of the study pool as suggested by Hedges (1992).
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Given the small number of children in each age group, we consider that this might be due to the removal of outliers in the data set; however, none was removed in the data analysis performed in this study.
The data analysis executed in this study was partially assisted by Mr. Imamura@ in Research Center for Space and Cosmic Evolution (RCSCE) of Ehime University.
An analysis of variance technique was employed as the data analysis strategy in this study.
Then, Section 3 provides the instrument development, measuring instrument, and techniques of data analysis adopted in this study.
The data analysis described in this report suffers from the two common threats to validity that apply to effort estimation [20].
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