scholarly journals Has the Credibility of the Social Sciences Been Credibly Destroyed? Reanalyzing the “Many Analysts, One Data Set” Project

2021 ◽  
Vol 7 ◽  
pp. 237802312110244
Author(s):  
Katrin Auspurg ◽  
Josef Brüderl

In 2018, Silberzahn, Uhlmann, Nosek, and colleagues published an article in which 29 teams analyzed the same research question with the same data: Are soccer referees more likely to give red cards to players with dark skin tone than light skin tone? The results obtained by the teams differed extensively. Many concluded from this widely noted exercise that the social sciences are not rigorous enough to provide definitive answers. In this article, we investigate why results diverged so much. We argue that the main reason was an unclear research question: Teams differed in their interpretation of the research question and therefore used diverse research designs and model specifications. We show by reanalyzing the data that with a clear research question, a precise definition of the parameter of interest, and theory-guided causal reasoning, results vary only within a narrow range. The broad conclusion of our reanalysis is that social science research needs to be more precise in its “estimands” to become credible.

Author(s):  
Mathieu Ouimet ◽  
Pierre-Olivier Bédard

This chapter highlights literature review. Reviewing the published literature is one of the key activities of social science research, as a way to position one’s academic contribution, but also to get a bird’s eye view of what the relevant literature says on a given topic or research question. Many guides have been created to assist academic researchers and students in conducting a literature review, but there is no consensus on the most appropriate method to do so. One of the reasons for this lack of consensus is the plurality of epistemological attitudes that coexist in the social sciences. Before initiating a literature review, the researcher should start by clarifying the need for and the purpose of the review. Once this has been clarified, the actual review protocol, tools, and databases to be used will need to be determined to strike a balance between the scope of the study and the depth of the review.


Author(s):  
Gary Goertz ◽  
James Mahoney

Some in the social sciences argue that the same logic applies to both qualitative and quantitative research methods. This book demonstrates that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. The book identifies and discusses major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, the book also seeks to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. The book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.


2018 ◽  
Author(s):  
Nathan Bennett ◽  
Robin Roth

Conservation actions most often occur in peopled seascapes and landscapes. As a result, conservation decisions cannot rely solely on evidence from the natural sciences, but must also be guided by the social sciences, the arts and the humanities. However, we are concerned that too much of the current attention is on research that serves an instrumental purpose, by which we mean that the social sciences are used to justify and promote status quo conservation practices. The reasons for engaging the social sciences, as well as the arts and the humanities, go well beyond making conservation more effective. In this editorial, we briefly reflect on how expanding the types of social science research and the contributions of the arts and the humanities can help to achieve the transformative potential of conservation.


2013 ◽  
Vol 214 ◽  
pp. 255-282 ◽  
Author(s):  
Jennifer Holdaway

AbstractIn the context of this symposium, this article reviews social science research in the emerging field of environment and health in China, with a particular focus on the impacts of pollution. It begins with a discussion of the particular nature of China's environment-related health problems, distinguishing the different challenges presented by diseases of poverty, affluence and transition. It then reviews recent developments in policy and civil society with regard to environment and health, and the extent to which work in the social sciences has advanced our knowledge of these and of state–society interactions. The article concludes with some reflections on the need for and challenges of interdisciplinary and international collaboration in this area.


2018 ◽  
Vol 48 (3) ◽  
pp. 698-721 ◽  
Author(s):  
Valerio Baćak ◽  
Edward H. Kennedy

A rapidly growing number of algorithms are available to researchers who apply statistical or machine learning methods to answer social science research questions. The unique advantages and limitations of each algorithm are relatively well known, but it is not possible to know in advance which algorithm is best suited for the particular research question and the data set at hand. Typically, researchers end up choosing, in a largely arbitrary fashion, one or a handful of algorithms. In this article, we present the Super Learner—a powerful new approach to statistical learning that leverages a variety of data-adaptive methods, such as random forests and spline regression, and systematically chooses the one, or a weighted combination of many, that produces the best forecasts. We illustrate the use of the Super Learner by predicting violence among inmates from the 2005 Census of State and Federal Adult Correctional Facilities. Over the past 40 years, mass incarceration has drastically weakened prisons’ capacities to ensure inmate safety, yet we know little about the characteristics of prisons related to inmate victimization. We discuss the value of the Super Learner in social science research and the implications of our findings for understanding prison violence.


2021 ◽  
pp. 240-243
Author(s):  
Michael J. Rosenfeld

Chapter 18 describes social science research of the 1940s and 1950s that showed how segregation harmed both minority and majority populations and thereby played a role in the landmark Brown v. Board of Education decision of 1954. Between 1896, when the Supreme Court endorsed segregation in Plessy v. Ferguson to 1954, when the Supreme Court rejected segregation, social science had built a consensus about the many harms and costs that racial segregation imposed on Black and on White children. Like school desegregation, marriage equality’s victories in the courts were built on a social science consensus, specifically the social science consensus that children raised by same-sex couples have good outcomes.


2019 ◽  
pp. 175069801987608
Author(s):  
Jeffrey Blustein

It is commonplace to attribute memories to groups of individuals both large and small. Attributions of memories to groups are also found in social science research. This article proposes using philosophical accounts from the literature on social ontology to help clarify and deepen our understanding of how these terms are being employed in the social sciences. Two contrasting accounts of collective remembering are presented: the joint commitment account derived from the seminal work of Margaret Gilbert, and the participatory intentions account based on Christopher Kutz’s analysis of collective action. The implications of these accounts for clarifying notions of collective memory and remembering in the social sciences are explored through two case studies—one involving a social media site that promotes sharing of memories among users and the other concerning organizational remembering.


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