scholarly journals Extraction and Evaluation of Statistical Information from Social and Behavioral Science Papers

Author(s):  
Sree Sai Teja Lanka ◽  
Sarah Rajtmajer ◽  
Jian Wu ◽  
C. Lee Giles
Author(s):  
Valentina Kuskova ◽  
Stanley Wasserman

Network theoretical and analytic approaches have reached a new level of sophistication in this decade, accompanied by a rapid growth of interest in adopting these approaches in social science research generally. Of course, much social and behavioral science focuses on individuals, but there are often situations where the social environment—the social system—affects individual responses. In these circumstances, to treat individuals as isolated social atoms, a necessary assumption for the application of standard statistical analysis is simply incorrect. Network methods should be part of the theoretical and analytic arsenal available to sociologists. Our focus here will be on the exponential family of random graph distributions, p*, because of its inclusiveness. It includes conditional uniform distributions as special cases.


Author(s):  
Dominic Sagoe

Over the past few years, the focus group method has assumed a very important role as a method for collecting qualitative data in social and behavioural science research. This article elucidates theoretical and practical problems and prospects associated with the use of focus groups as a qualitative research method in social and behavioural science research. The core uses of focus groups in social and behavioural science research are discussed. In addition, the strengths and limitations of employing focus groups in social and behavioural science research are elucidated. Furthermore, the article discusses practical recommendations for strengthening the focus group method in social and behavioural science research.


Abundance ◽  
2021 ◽  
pp. 1-26
Author(s):  
Pablo J. Boczkowski

Chapter 1 situates the contemporary focus of this book in historical perspective by summarizing the main findings from studies of previous eras that had a massive surge in the amount of information available. Moreover, it critically examines the key contributions from social and behavioral science scholarship on information overload. In addition, it further articulates the conceptual framework that is initially introduced in the preface and that constitutes the analytical apparatus of the book. It also describes the research design adopted to gather the data necessary to answer the questions posed in the preface. Finally, it provides an outline of the book.


2019 ◽  
Vol 22 (1) ◽  
pp. 521-542 ◽  
Author(s):  
Jake Bowers ◽  
Paul F. Testa

Collaborations between the academy and governments promise to improve the lives of people, the operations of government, and our understanding of human behavior and public policy. This review shows that the evidence-informed policy movement consists of two main threads: ( a) an effort to invent new policies using insights from the social and behavioral science consensus about human behavior and institutions and ( b) an effort to evaluate the success of governmental policies using transparent and high-integrity research designs such as randomized controlled trials. We argue that the problems of each approach may be solved or at least well addressed by teams that combine the two. We also suggest that governmental actors ought to want to learn about why a new policy works as much as they want to know that the policy works. We envision a future evidence-informed public policy practice that ( a) involves cross-sector collaborations using the latest theory plus deep contextual knowledge to design new policies, ( b) applies the latest insights in research design and statistical inference for causal questions, and ( c) is focused on assessing explanations as much as on discovering what works. The evidence-informed public policy movement is a way that new data, new questions, and new collaborators can help political scientists improve our theoretical understanding of politics and also help our policy partners to improve the practice of government itself.


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