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Theh datah visualizationh createdh wash toh investigateh theh significanth
differencesh andh toh demonstrateh whetherh theh measuresh areh anyh
indicationh toh produceh techniquesh byh recognizingh ah transitionalh
segment.h h Inh theh datah visualization,h theh techniquesh providedh
includedh theh understandingh ofh theh descriptiveh statisticsh (summary)h
performedh inh Rh programmingh language.h h Thish techniqueh ish conductedh
toh assessh theh constructh validityh ofh eachh inputh datah respectivelyh toh
theh factorh analysish revealingh ah transitionalh phaseh segmenth andh anyh
significanth correlationh betweenh theh varioush obtainedh functions.h h
Furthermore,h theh descriptiveh statisticsh functionh inh Rh programmingh
languageh providesh anh internalh consistencyh ofh reliabilityh toh determineh
anh acceptableh measureh relatedh toh theh scoresh ofh ah singleh factor.h h
Belowh areh threeh descriptiveh statisticsh functionsh performedh usingh Rh
programmingh languageh toh investigateh thish methodologyh forh furtherh
implicationh toh defineh ah visualizationh techniqueh (seeh tablesh below).
Table
.h (Parth 1h outh ofh 3h tablesh presented).h Descriptiveh statisticsh usingh
Rh programmingh languageh toh performh functionsh ofh eachh inputh datah
regardingh minimum,h theh 1sth quantile,h theh median,h theh mean,h theh 3rdh
quantile,h andh theh maximumh values.