The Mobilization of Scientific Evidence by Public Policy Analysts. Bédard, P. SAGE Open, 10, 2015.
The Mobilization of Scientific Evidence by Public Policy Analysts [link]Website  abstract   bibtex   
Research on knowledge mobilization in policy making has been largely focused on identifying relevant factors having an effect on the uptake of evidence by actors and organizations. However, evidence on the magnitude of those effects remains limited and existing methods allowing for this have been scarcely used in this field. In this article, we first provide a rationale for greater investigation of substantive effect sizes, using methods such as mediation analysis and conditional probabilities. Using cross-sectional data from Québec (Canada) government policy analysts, we test an absorptive capacity model and describe direct, specific indirect, and total effects estimated from a path analysis. The results show that some factors have considerable effects, such as physical access and individual field of training, whereas some mediated relations are worth considering. Finally, we discuss some practical implications with regard to policy making and policy analysis but also the methodological standards of empirical research in this field.
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 title = {The Mobilization of Scientific Evidence by Public Policy Analysts},
 type = {article},
 year = {2015},
 volume = {5},
 websites = {http://sgo.sagepub.com/content/5/3/2158244015604193.abstract},
 month = {10},
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 abstract = {Research on knowledge mobilization in policy making has been largely focused on identifying relevant factors having an effect on the uptake of evidence by actors and organizations. However, evidence on the magnitude of those effects remains limited and existing methods allowing for this have been scarcely used in this field. In this article, we first provide a rationale for greater investigation of substantive effect sizes, using methods such as mediation analysis and conditional probabilities. Using cross-sectional data from Québec (Canada) government policy analysts, we test an absorptive capacity model and describe direct, specific indirect, and total effects estimated from a path analysis. The results show that some factors have considerable effects, such as physical access and individual field of training, whereas some mediated relations are worth considering. Finally, we discuss some practical implications with regard to policy making and policy analysis but also the methodological standards of empirical research in this field.},
 bibtype = {article},
 author = {Bédard, Pierre-Olivier},
 journal = {SAGE Open},
 number = {3}
}

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