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Qualitative Comparative Analysis (QCA), initiated by Charles C. Ragin, is a research strategy with distinctive added value for organization studies. QCA constitutes in essence two configurational approaches, each grounded in set theory. One approach uses crisp-sets (dichotomous variables) to analyze cases. The other approach uses fuzzy-sets. While the use of fuzzy-sets has been increasing over the last few years, the crisp-set (csQCA) approach is still used in a majority of empirical applications. This chapter discusses in-depth the application of csQCA in organization studies. This chapter starts with a stylized presentation of two dominant research strategies, case-based research and variable-based research, and how csQCA relates to them. Subsequently, csQCA is further introduced and the different applications in organization studies are discussed. This section ends with a brief step-wise “how to” presentation. The chapter then turns to a presentation of the main distinctive strengths of the approach. In the final part, the chapter discusses extensively the main criticisms which have been raised with regard to (cs)QCA and draws out some of the main implications of this discussion.

Charitable Choice Policy, the heart of President Bush’s Faith‐Based Initiative, is the direct government funding of religious organizations for the purpose of carrying out government programs. The Bush presidential administration has called for the application of Charitable Choice Policy to all kinds of social services. Advocates for child‐abuse victims contend that the Bush Charitable Choice Policy would further dismantle essential social services provided to abused children. Others have argued Charitable Choice Policy is unconstitutional because it crosses the boundary separating church and state. Rather than drastically altering the US social‐policy landscape, this paper demonstrates that the Bush Charitable Choice Policy already is in place for childabuse services across many of the fifty states. One reason this phenomenon is ignored is due to the reliance on the public‐private dichotomy for studying social policies and services. This paper contends that relying on the public‐private dichotomy leads researchers to overlook important configurations of actors and institutions that provide services to abused children. It offers an alternate framework to the public‐private dichotomy useful for the analysis of social policy in general and, in particular, Charitable Choice Policy affecting services to abused children. Employing a new methodological approach, fuzzy‐sets analysis, demonstrates the degree to which social services for abused children match ideal types. It suggests relationships between religious organizations and governments are essential to the provision of services to abused children in the United States. Given the direction in which the Bush Charitable Choice Policy will push social‐policy programs, scholars should ask whether abused children will be placed in circumstances that other social groups will not and why.

The notion of configuration – that the whole is best understood from a systemic perspective and should be viewed as a constellation of interconnected elements – is arguably one of the central ideas of organization studies. Yet, this idea also remains one of the field’s least understood aspects. In this volume and its introduction, we outline a new perspective for understanding configuration. Our starting point is the emergence of set theoretic configurational methods, and especially Qualitative Comparative Analysis (QCA), which provides novel ways for analyzing configurations. Our volume goes beyond introducing a new method to the fields of management and organization, as these methods furthermore offer an opportunity to rethink our understanding of the field and to develop different ways of theorizing the rich complexity of relationships that characterize organizational life. In this introduction, we introduce some of the key themes that differentiate the approach taken here from previous work on organizational configurations and provide evidence for the emerging renaissance of the configurational approach in organizational theory and research.

Shalev's (2007) critique of the use of multiple regression in comparative research brings together and synthesizes a variety of previous critiques, ranging from those focusing on foundational issues (e.g., the persistent problem of limited diversity), to estimation issues (e.g., the unrealistic assumption of correct model specification), to narrow technical issues (e.g., the difficulty of deriving valid standard errors for regression coefficients in pooled cross-sectional time-series models). Broadly speaking, these concerns can be described as epistemological, theoretical, and methodological, respectively. While the distinctions among these three are not always clear-cut, the tripartite scheme provides a useful way to map the different kinds of critiques that may be directed at the use of regression analysis in comparative research. In the first half of this essay we build upon Shalev's discussion to clarify the conditions under which regression analysis may be epistemologically, theoretically, or methodologically inappropriate for comparative research. Our goal is to situate Shalev's specific critiques of the use of multiple regression in comparative work within the context of social research in general.

The maintenance of public order and the control of crime are clearly amongst the primary objectives of global law enforcement agencies. An important antecedent to this is the consideration of public trust in their police force. The purpose of this paper is to utilise data from the fifth round European Social Survey (ESS), to investigate how public social indicators may be highlight the level of trust in a country’s police force.

The results from the ESS are analysed using fuzzy-set Qualitative Comparative Analysis (fsQCA), multiply conjunctional causal configurations of the considered social indicators are then established and analysed.

A consequence of using fsQCA, asymmetric causal configurations are identified for the relative high and low limiting levels of trust towards the police in the considered countries. The results offer novel insights into the relationship between social indicators and police trust, as well as expositing a nascent technique (fsQCA) that may offer future potential in this area.

This paper introduces a nascent technique (fsQCA) to analyse a major European data set relating to citizens perceptions of the police. The findings might prove useful for policing organisations as they develop strategies to maintain/improve the level of trust and confidence of citizens in the policing services they provide.

Conventional quantitative research in the social sciences today is largely based on an understanding of analysis that is antithetical to configurational thinking. To analyze a phenomenon is to break it into its constituent parts and then to examine how the parts fit together, a two-step process. A common way of accomplishing the first step – breaking things into parts – is to conceptualize variables that can be used to characterize differences across cases.¹ In conventional quantitative research the second step – examining how the parts fit together – is accomplished primarily through various forms of cross-case analysis using correlational techniques (e.g., multiple regression). Thus, in conventional quantitative research, assessments of cross-case correlational patterns provide the primary basis for statements about how the parts of cases are connected to each other. Quantitatively oriented researchers studying organizations have produced an abundance of such studies, relating specific aspects of organizations to other aspects based on correlations observed across a set of comparable organizations.

This article presents an empirical test of three hypotheses dealing with the modernisation of polyethnic societies. An hypothesis derived from the functionalist/developmental perspective and two hypotheses derived from the conflict/competition perspective are assessed using survey data on Francophone‐Anglophone relations in contemporary Quebec. The main conclusions are that 1) the cross‐sectional design using survey data allows a clear test of Hechter's (1975) reactive ethnicity hypothesis; 2) the reactive ethnicity hypothesis is supported in the analysis; 3) the resource competition hypothesis (e.g., Nielsen 1980) is also supported; 4) the reactive ethnicity and resource competition hypotheses are not necessarily mutually exclusive, as some recent authors have claimed (Nielsen 1980; Ragin 1979), and can best be seen as two variants of the same communal competition perspective imbedded in the conflict theory tradition.

The chapter will review significant changes in information technology (IT) affecting research over the 30-year history of Communication, Information Technology, and Media Sociology. It compares broad overviews of computers and the social sciences published shortly after the beginning of the section (1989 and 1990) with a contemporary overview of online research methods from 2017. It also draws on my own experiences from 1981 to the present as both an academic and a software entrepreneur. The author will discuss how changes in the section parallel developments in social science computing over this period, identifying some of the significant ways IT has transformed both the methods of research and the substantive foci of research. Finally, the author extrapolates into the future to consider how continuing changes in the Internet, big data, artificial intelligence, and natural language understanding may change how sociological research is conducted in the foreseeable future.

Health misinformation on social media threatens public health. A critical question that sheds light on the propagation of health misinformation across social media platforms revolves around identifying the specific types of social media users susceptible to this issue. This study provides an initial insight into this matter by examining the underlying psychological mechanism that renders users susceptible to health misinformation.

In this study, we developed an integrated model of susceptibility to health misinformation, drawing on the motivation-opportunity-ability theory and the elaboration likelihood model. We collected the data from a sample of 342 social media users in China. Furthermore, the fuzzy-set qualitative comparative analysis was adopted to examine the proposed model and uncover the causal recipes associated with susceptibility to health misinformation.

The results indicated that there are three configural types of users that are susceptible to health misinformation: the health-consciousness core-driven type, the popularity-driven core type and the dual-driven type characterized by both high health consciousness and information popularity. Among these, high health-consciousness and the reliance on information popularity-based pathways emerge as pivotal factors influencing susceptibility to health misinformation.

This study contributes to the social media literature by identifying various psychological traits that lead to social media users’ susceptibility to health misinformation. Additionally, the study provides comprehensive guidance on how to mitigate the spread of health misinformation.