Name File Type Size Last Modified
CE-and-network-analysis.do text/x-stata-syntax 1.3 KB 11/07/2019 10:28:AM
CE-and-network-analysis.dta application/x-stata 22.7 KB 11/07/2019 10:21:AM
READ_ME_FIRST.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 12.2 KB 11/07/2019 10:25:AM

Project Citation: 

Berebitsky, Dan. Collective Efficacy and Teachers’ Social Networks. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-11-07. https://doi.org/10.3886/E115385V1

Project Description

Summary:  View help for Summary
Collective efficacy, a group’s belief in its capabilities to reach a goal, is an important organizational property repeatedly linked with student achievement. However, little scholarship specifies the antecedents of collective efficacy. To fill this gap, this study examines a potential predictor of collective efficacy: teachers’ social networks. The authors employ social network and regression analysis to explore the relationship between network density, network centralization, and collective efficacy in 20 middle school mathematics departments in two large, urban districts across 3 years. Collective efficacy had a significant relationship with density, but not centralization, when controlling for school demographics. The findings underscore the importance of network density to school improvement reforms. Policymakers need to consider policies that support the build- ing of a dense network, which could increase collective efficacy and, ultimately, student achievement.



Related Publications

Published Versions

Export Metadata

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.