Sponsor
Portland State University. Department of Psychology
First Advisor
Thomas Kindermann
Date of Publication
Winter 3-21-2016
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Psychology
Department
Psychology
Language
English
Subjects
Social networks -- Research -- Methodology, Interpersonal relations in children -- Research -- Methodology, Academic achievement -- Research
DOI
10.15760/etd.2724
Physical Description
1 online resource (x, 265 pages)
Abstract
Too many students leave school without even the essential skills (ACT, 2011), and many others are so drained by the experience they lack a desire to continue on to a post-secondary education. Academic engagement has emerged as a construct representing students’ personal investment in school (Greenwood, Delquadri, & Hall, 1984), and may be a psychological variable which can be intervened on. However, interventions must occur as quickly as possible to maximize their efficiency (Heckman, 2007). Students’ peer groups may be a particularly potent venue of intervention, however several options exist for how to go about measuring their social networks.
In this thesis, social networking data of the only middle school of a small town in the north-eastern United States is analyzed to determine the properties of two collection methods (self-reported networks and participant observations) and four network identification methods (probability scores, reciprocal nominations, factor-analyses, and rule-based). Analyses overwhelmingly supported participant observations as a more inclusive, less biased data collection method than self-reports. Meanwhile, hypothesis tests were somewhat mixed on the most inclusive, least biased network identification method, but after a consideration of the findings and the structural properties of each network, the probability score method was deemed the most useful network. Implications, future research, strengths, and limitations are discussed.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/16977
Recommended Citation
Mehess, Shawn James, "Finding the Missing Links: A Comparison of Social Network Analysis Methods" (2016). Dissertations and Theses. Paper 2728.
https://doi.org/10.15760/etd.2724
Included in
Developmental Psychology Commons, Educational Sociology Commons, Social Psychology Commons