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Survey‐Based Measurement of Public Management and Policy Networks
Author(s) -
Henry Adam Douglas,
Lubell Mark,
McCoy Michael
Publication year - 2012
Publication title -
journal of policy analysis and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.898
H-Index - 84
eISSN - 1520-6688
pISSN - 0276-8739
DOI - 10.1002/pam.21623
Subject(s) - generator (circuit theory) , set (abstract data type) , measure (data warehouse) , computer science , recall , data mining , power (physics) , physics , linguistics , philosophy , quantum mechanics , programming language
Networks have become a central concept in the policy and public management literature; however, theoretical development is hindered by a lack of attention to the empirical properties of network measurement methods. This paper compares three survey‐based methods for measuring organizational networks: the roster, the free‐recall name generator, and a hybrid name generator that combines these two classic approaches. Results indicate that the roster and free‐recall name generator methods both suffer from important limitations. The roster method tends to measure many linkages among a limited set of network actors, whereas the name generator tends to measure fewer linkages among a larger set of network actors. Using survey data on policy networks within California regional planning processes ( N = 752), we find that the hybrid method strikes an effective balance between these techniques. The hybrid approach performs well in terms of identifying a large number of network actors and interconnections between them. Although no survey‐based measurement technique is perfect, this study suggests that the hybrid name generator is an excellent alternative for the measurement of complex networks with large or shifting boundaries that encompass a diverse set of actors.