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ERIC Number: EJ889483
Record Type: Journal
Publication Date: 2008-Apr
Pages: 23
Abstractor: As Provided
ISSN: ISSN-0038-0407
"Kracking" the Missing Data Problem: Applying Krackhardt's Cognitive Social Structures to School-Based Social Networks
Neal, Jennifer Watling
Sociology of Education, v81 n2 p140-162 Apr 2008
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.)
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A