2020
DOI: 10.1002/jac5.1312
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Part II: Statistics in practice: Nature of data, descriptive statistics, and presentation of data

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Cited by 2 publications
(2 citation statements)
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“…Data was subsequently subjected to the 22 version of the Statistical Package for Social Sciences (SPSS) to ensure the data's validity, authenticity, and reliability [67,68]. Principle Component Analysis (PCA) as recommended by Stevens [69] was used by the researcher to summarize and re-orient variables that capture veritable information from the original variables, which information was effectively presented in textual, graphical, and tabular forms, per the recommendations of Haas [70] and In & Lee [71].…”
Section: Discussionmentioning
confidence: 99%
“…Data was subsequently subjected to the 22 version of the Statistical Package for Social Sciences (SPSS) to ensure the data's validity, authenticity, and reliability [67,68]. Principle Component Analysis (PCA) as recommended by Stevens [69] was used by the researcher to summarize and re-orient variables that capture veritable information from the original variables, which information was effectively presented in textual, graphical, and tabular forms, per the recommendations of Haas [70] and In & Lee [71].…”
Section: Discussionmentioning
confidence: 99%
“…This study purposively made use of a combination of three forms of presentation methods of statistical data so as to give the clearest of understanding to the overall trend of the findings, namely; textual, tabular and graphical. In line with these powerful communication tools, information was presented in text, tables, bar, pie and linear charts (Haas, 2020;WHO, 2014). These information dissemination tools according to In and Lee (2017), have the potential of making write-ups easy to understand, attract and sustain the interest of readers of the said article, as well as efficiently presenting large and complex information.…”
Section: Methodsmentioning
confidence: 99%