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Annual Review of Sociology, 2022
Fueled by recent advances in statistical modeling and the rapid growth of network data, social network analysis has become increasingly popular in sociology and related disciplines. However, a significant amount of work in the field has been descriptive and correlational, which prevents the findings from being more rigorously translated into practices
Weihua An +2 more
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Fueled by recent advances in statistical modeling and the rapid growth of network data, social network analysis has become increasingly popular in sociology and related disciplines. However, a significant amount of work in the field has been descriptive and correlational, which prevents the findings from being more rigorously translated into practices
Weihua An +2 more
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Fifth International Conference on Application of Concurrency to System Design (ACSD'05), 2006
Perfectly synchronous systems immediately react to the inputs of their environment, which may lead to so-called causality cycles between actions and their trigger conditions. Algorithms to analyze the consistency of such cycles usually extend data types by an additional value to explicitly indicate unknown values.
K. Schneider +3 more
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Perfectly synchronous systems immediately react to the inputs of their environment, which may lead to so-called causality cycles between actions and their trigger conditions. Algorithms to analyze the consistency of such cycles usually extend data types by an additional value to explicitly indicate unknown values.
K. Schneider +3 more
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Statistical Models for Causal Analysis.
Biometrics, 1994This book provides a quick overview of statistical models commonly used in causal analyses of nonexperimental data in the social and biomedical sciences. Topics covered are simple bivariate regression multiple regression multiple classification analysis path analysis logit regression multinomial logit regression and survival models (proportional ...
Daniel Zelterman +2 more
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American Journal of Evaluation, 2015
In policy evaluations, interest may focus on why a particular treatment works. One tool for understanding why treatments work is causal mediation analysis. In this essay, I focus on the assumptions needed to estimate mediation effects. I show that there is no “gold standard” method for the identification of causal mediation effects.
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In policy evaluations, interest may focus on why a particular treatment works. One tool for understanding why treatments work is causal mediation analysis. In this essay, I focus on the assumptions needed to estimate mediation effects. I show that there is no “gold standard” method for the identification of causal mediation effects.
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This two-day seminar provides a comprehensive exploration of causal mediation analysis, emphasizing strong theoretical foundations and practical applications for researchers in diverse fields. Participants will gain crucial skills in implementing these advanced methodologies using R and Stata, enhancing the credibility and impact of their research ...
Paola Zaninotto, Martin Danka
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Paola Zaninotto, Martin Danka
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Futures, 1998
‘Futures Research Methodology’ is a comprehensive and internationally peer reviewed handbook on tools and methods for forecasting and analysis of global change. It brings together the most comprehensive set of approaches to futures methodologies ever assembled in one volume. This book provides an executive overview of the tools to do futures research -
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‘Futures Research Methodology’ is a comprehensive and internationally peer reviewed handbook on tools and methods for forecasting and analysis of global change. It brings together the most comprehensive set of approaches to futures methodologies ever assembled in one volume. This book provides an executive overview of the tools to do futures research -
openaire +1 more source