Hierarchical Network Models for Education Research: Hierarchical Latent Space Models

Autor/inn/en	Sweet, Tracy M.; Thomas, Andrew C.; Junker, Brian W.
Titel	Hierarchical Network Models for Education Research: Hierarchical Latent Space Models
Quelle	In: Journal of Educational and Behavioral Statistics, 38 (2013) 3, S.295-318 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998612458702
Schlagwörter	Educational Research; Models; Social Networks; Network Analysis; Hierarchical Linear Modeling; Generalization; Monte Carlo Methods; Markov Processes; Elementary School Teachers; Middle School Teachers; Principals + Suchen Sie Ihr Suchwort? Bildungsforschung; Pädagogische Forschung; Analogiemodell; Social network; Soziales Netzwerk; Netzplantechnik; Monte-Carlo-Methode; Markowscher Prozess; Elementary school; Teacher; Teachers; Grundschule; Volksschule; Lehrer; Lehrerin; Lehrende; Middle school; Middle schools; Mittelschule; Mittelstufenschule; Principal; Schulleiter
Abstract	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.) (As Provided).
Anmerkungen	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
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10