Testing Policy Theory with Statistical Models of Networks

被引:102
作者
Lubell, Mark [1 ]
Scholz, John [2 ]
Berardo, Ramiro [3 ]
Robins, Garry [4 ]
机构
[1] Univ Calif Davis, Davis, CA 95616 USA
[2] Florida State Univ, Tallahassee, FL 32306 USA
[3] Univ Arizona, Tucson, AZ 85721 USA
[4] Univ Melbourne, Sch Psychol Sci, Melbourne, Vic 3010, Australia
基金
美国国家科学基金会;
关键词
SOCIAL NETWORKS; COLLECTIVE ACTION; DIFFUSION; HEALTH; AUTOCORRELATION; INSTITUTIONS; INFORMATION; INNOVATIONS; MANAGEMENT; COALITIONS;
D O I
10.1111/j.1541-0072.2012.00457.x
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
This article presents a conceptual framework for clarifying the network hypotheses embedded in policy theories and how they relate to macrolevel political institutions and microlevel political behavior. We then describe the role of statistical models of networks for testing these hypotheses, including the problem of operationalizing theoretical concepts with the parameters of statistical models. Examples from existing theories of the policy process and empirical research are provided and potential extensions are discussed.
引用
收藏
页码:351 / 374
页数:24
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