Public Sociology on Twitter: a Space for Public Pedagogy?

Research has examined various elements of Twitter; however, no scholarship has explored how sociologists currently use the platform. This empirically driven paper explores how individuals that self-identify as sociologists on Twitter use the popular micro-blogging social media site. A total of 152,977 tweets from Twitter profiles of 130 sociologists were collected and examined using qualitative media analysis. The potential use of Twitter allows the sociologist to become both the generator and interlocutor of dialogue with publics. We frame our data analysis and discussion around the core theme of expertise - namely, the role that expertise plays in the use of Twitter by sociologists. Our findings indicate that when sociologists used Twitter as sociologists (i.e., drawing upon their stated research expertise) little direct engagement with publics occurred. Thus, while sociologists appear to be using Twitter as a space for public sociology, the use of this interactive platform is mostly limited to the generation of content, a finding consistent with Burawoy’s traditional form of public sociology. Suggestions for future research are noted.     

Standard Bearers: Qualitative Sociologists’ Experiences with IRB Regulation

In response to the system for regulating research with human subjects, researchers have raised two apparently contradictory concerns: that IRBs are excessively inconsistent (often raised by biomedical researchers), and that they are excessively standardizing (often raised by qualitative interview researchers). Why does standardization appear as the dominant theme in qualitative researchers’ experiences with their IRBs? And how do qualitative researchers experience standardization in their IRB encounters? We focus on IRBs role as regulatory bureaucracies, which typically rely heavily on standardized communication and decisions to process information and make large numbers of decisions in a timely manner. We explore the role of standardization in IRB regulation of qualitative research in an analysis of semi-structured interviews with 26 qualitative sociologists from six research universities and three liberal arts colleges in the Northeastern United States. In a regulatory regime oriented toward the norms of experimental research, these frictions resulted partly from a lack of appropriate standardized language and decision-templates, but also from the inherent difficulties of applying standardized decisions to work that is unpredictable, unique, and difficult to routinize.     

Cognitive Sociology in France

While cognitive sociology is a relatively new area in U.S. sociology, the subfield has a lengthy history in French sociology. Developing a typology based upon the existing literature, we identify three branches of cognitive sociology in France. The first was initiated by Raymond Boudon, one of the scholars most responsible for popularizing the area, who envisioned cognitive sociology as helping delineate the role of beliefs in rational action. Second, another group of researchers seeks to found sociology upon a naturalistic basis, thus drawing upon the disciplines constitutive of cognitive science (e.g., psychology, cognitive neuroscience, and cognitive anthropology). Finally, the third approach to cognitive sociology in France takes inspiration from linguistics as a foundation for sociological investigations. We conclude the paper by discussing the relationship between these three sub-fields and by examining the relationship between French and American cognitive sociologies in order to identify fruitful directions for future research.     

Networking in France. Is there a French School of Social Network Analysis?

Social Network Analysis (SNA) is a sociology based on interaction that visualizes and models relations between actors. Whereas interaction is approached by classical scholars, we had to wait until the 1970s and the birth of computer science to see social networks analysis develop. This article investigates the influence of SNA in France from the 1980s and wonder if there is a French school of SNA? To do so, we first resume social networks history and highlight its contribution to sociology. Second, we analyze the trajectory and profile of five “disciplinary entrepreneurs,” whose role in the field is important as they master three necessary languages for SNA: English, Mathematics and Computer Science. Third, in order to put back those individuals in their social structures, we cross SNA with the different French sociological tradition(s) (according to topics and methods). Last, we wonder if the institutionalization process succeeded in the creation of institutions from which a French SNA would be able to expand?     

Developing a culturally-specific mixed methods approach to global research

With much of the development of mixed methods occurring through the works of scholars from the US, the UK, Canada, and the Anglos-Saxon/English-speaking countries, the discourse about a global research community must consider how it needs to be sensitive to diverse cultures. Clearly, the discussion must focus on adapting mixed methods to best fit the problems of countries, the cultural norms of conducting research, and the scholarly talents of in-country investigators. Unfortunately, the mixed methods literature is largely silent on diverse cultural adaptations of mixed methods.In this article, we first trace the involvement of worldwide countries in the historic development of mixed methods. Then, to gain a better understanding of the use and adaptation of mixed methods in diverse world academic cultures, we provide a qualitative study of themes mentioned by participants from seven different countries. From both the historical overview and the qualitative study, we end by making suggestions about specific strategies for a global discourse about mixed methods research, and suggest a de-colonizing presence of the Anglo-Saxon/English-speaking countries in the global expansion of mixed methods.     

Sequentielles Mixed-Methods-Sampling: Wie quantitative Sekundärdaten qualitative Stichprobenpläne und theoretisches Sampling unterstützen können

Mixed methods sampling has played a minor role in methodological discussions so far. In particular, there is a lack of information about practical implementations and critical reflections of sampling decisions and sampling steps showing the benefits and challenges of different approaches. Therefore, this paper demonstrates by drawing on an empirical example, how quantitative secondary data analysis (German Socio-Economic Panel, Linked Employer-Employee Data, Employment History) can support the empirically informed formation of contrast groups for qualitative sampling plans as well as field access to these contrast groups. Furthermore, the article will show how an additional theoretical sampling can extend the empirically grounded composition of contrast groups and can build upon the quantitative secondary data. The discussion is based on a project with an explanatory sequential research design which combines quantitative secondary analysis with subsequent expert interviews with human resources managers in companies and narrative interviews with employees. The project focusses on the causes, practices, and consequences of employment relationships with an interrupted membership in the same employing organization (“recalls”).     

Quantifizierung

The challenge in data analysis often lies in taking account of the multi-dimensionality and complexity of the data and at the same time discovering patterns, which requires reduction and simplification. Quantitizing qualitative data can serve as an additional step during data analysis to broaden the perspective and collect complementary views. Examples from research illustrate how information gathered during one data collection can generate different types of data or how qualitative data can be transformed to be analysed statistically. Practicalities of integrating qualitative and quantitative analyses are illustrated to offer good-practice examples for transformation designs (QUAL → QUAN). With the methodological reflection of research practice I evaluate consequences for the field of mixed methods research, in which the statistical analysis of codes created during an interpretive phase plays a minor role.