"Kracking" the Missing Data Problem: Applying Krackhardt's Cognitive Social Structures to School-Based Social Networks

Autor/in	Neal, Jennifer Watling
Titel	"Kracking" the Missing Data Problem: Applying Krackhardt's Cognitive Social Structures to School-Based Social Networks
Quelle	In: Sociology of Education, 81 (2008) 2, S.140-162 (23 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0038-0407
DOI	10.1177/003804070808100202
Schlagwörter	Network Analysis; Social Networks; Research Methodology; Peer Relationship; Educational Research; Data Collection; Social Science Research; Cognitive Mapping; Social Cognition + Suchen Sie Ihr Suchwort? Netzplantechnik; Social network; Soziales Netzwerk; Research method; Forschungsmethode; Peer-Beziehungen; Bildungsforschung; Pädagogische Forschung; Data capture; Datensammlung; Social scientific research; Sozialwissenschaftliche Forschung; Soziale Kognition
Abstract	Social network analysis can enrich school-based research on children's peer relationships. Unfortunately, accurate network analysis requires near-complete data on all students and is underutilized in school-based research because of low rates of parental consent. This article advocates Krackhardt's cognitive social structures (CSS) as a solution to the problem of missing data in social network research. It compares CSS to other common strategies for dealing with missing data and shows how CSS can be used to yield more complete and precise network data. The article also uses an example of a sixth-grade classroom network to demonstrate the application of CSS and potential analyses. (Contains 4 tables, 4 figures and 2 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10