2 research outputs found
The analysis of bridging constructs with hierarchical clustering methods: An application to identity
When analyzing psychometric surveys, some design and sample size limitations challenge existing
approaches. Hierarchical clustering, with its graphics (heat maps, dendrograms, means plots), provides
a nonparametric method for analyzing factorially-designed survey data, and small samples data. In the
present study, we demonstrated the advantages of using hierarchical clustering (HC) for the analysis
of non-higher-order measures, comparing the results of HC against those of exploratory factor analysis.
As a factorially-designed survey, we used the Identity Labels and Life Contexts Questionnaire (ILLCQ), a
novel measure to assess identity as a bridging construct for the intersection of identity domains and life
contexts. Results suggest that, when used to validate factorially-designed measures, HC and its graphics
are more stable and consistent compared to EFA
Digital forensics trends and future
Nowadays, rapid evolution of computers
and mobile phones has caused these
devices to be used in criminal activities.
Providing appropriate and sufficient
security measures is a difficult job due to
complexity of devices which makes
investigating crimes involving these
devices even harder. Digital forensic is
the procedure of investigating computer
crimes in the cyber world. Many
researches have been done in this area to
help forensic investigation to resolve
existing challenges. This paper attempts
to look into trends of applications of
digital forensics and security at hand in
various aspects and provide some
estimations about future research trends
in this area