Abstract:
The purpose of the current study is to examine the relationship between several different
domains of self-efficacy and participants’ demographic information, as well as their overall wellbeing. K-means cluster analysis was used in order to organize the data for different domains of
self-efficacy into clusters. These clusters measured each domain’s relationship to itself and other
variables that were measured and analyzed from the dataset. When the data for each respective
domain of self-efficacy was organized into an optimal number of clusters, an ANOVA found that
the clusters in each domain were significantly different from one another, implying that the
cluster analysis worker successfully. A MANOVA run to examine any relationships between
demographic information and the clusters created previously found no significant relationships
between these clusters and the demographic information from the dataset. A MANOVA did find
that there is a moderate relationship between the clusters and well-being of participants in the
study.
