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ERIC Number: EJ1004551
Record Type: Journal
Publication Date: 2013-Jun
Pages: 24
Abstractor: As Provided
Reference Count: 38
ISBN: N/A
ISSN: ISSN-1076-9986
Hierarchical Network Models for Education Research: Hierarchical Latent Space Models
Sweet, Tracy M.; Thomas, Andrew C.; Junker, Brian W.
Journal of Educational and Behavioral Statistics, v38 n3 p295-318 Jun 2013
Intervention studies in school systems are sometimes aimed not at changing curriculum or classroom technique, but rather at changing the way that teachers, teaching coaches, and administrators in schools work with one another--in short, changing the professional social networks of educators. Current methods of social network analysis are ill-suited to modeling the multiple partially exchangeable networks that arise in randomized field trials and observational studies in which multiple classrooms, schools, or districts are involved, and to detecting the effect of an intervention on the social network itself. To address these needs, we introduce a new modeling framework, the "Hierarchical Network Models (HNM) framework. The HNM framework can be used to extend single-network statistical network models to multiple networks, using a hierarchical modeling approach. We show how to generalize the latent space model for a single network to the HNM/multiple-network setting, and illustrate our approach with real and simulated social network data among education professionals. (Contains 1 table, 9 figures, and 1 note.)
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Elementary Secondary Education; Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A