2022
DOI: 10.1515/psr-2021-0158
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Developing a questionnaire for diabetes mellitus type 2 risk effects and precondition factors – multivariate statistical paths

Abstract: The primary purpose of the present study is to summarize and explain the results of a questionnaire about diabetes mellitus type 2 (DMT2) endangered individuals. The 275 participants (age between 21 and 76 years) answered 18 questions related to the possible danger of DMT2 disorder. Multivariate statistical methods – cluster analysis, factor and principal components analysis applied for the survey analysis. The final goal was to detect similarity patterns between the variables of interest (questions), to revea… Show more

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“…We also used traditional statistical methods to analyze our data. However, future surveys of this nature should consider a more recent approach that employs multivariate statistical methods such as cluster analysis, factor analysis, and principal component analysis [29].…”
Section: Discussionmentioning
confidence: 99%
“…We also used traditional statistical methods to analyze our data. However, future surveys of this nature should consider a more recent approach that employs multivariate statistical methods such as cluster analysis, factor analysis, and principal component analysis [29].…”
Section: Discussionmentioning
confidence: 99%