A cluster analysis of domain specific self-efficacy in college students

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dc.contributor.advisor Finch, W. Holmes (William Holmes)
dc.contributor.author Caridi, Raymond
dc.date.accessioned 2020-08-25T18:40:02Z
dc.date.available 2020-08-25T18:40:02Z
dc.date.issued 2020-05-02
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/123456789/202256
dc.description.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. en_US
dc.description.sponsorship Department of Educational Psychology
dc.subject.lcsh Cluster analysis.
dc.subject.lcsh Self-efficacy -- Mathematical models.
dc.subject.lcsh College students -- Psychology -- Mathematical models.
dc.title A cluster analysis of domain specific self-efficacy in college students en_US
dc.type Research paper (M.S.), 3 hours.
dc.description.degree Thesis (M.S.) en_US

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  • Research Papers [5068]
    Research papers submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

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