I argue that what-makes-it-possible questions are a distinct and important kind of sociological research question. What is social phenomenon "P" made possible or enabled by? Results won't be about "P's" causes and causal relationships, but about its enablers and enabling relationships. I examine the character of…

This paper analyses the interrelations between academic disciplines and society beyond academia by the case of sociology in Norway. For that purpose, this paper introduces the concept of disciplines' societal territories, which refer to bounded societal spaces that are shaped by the knowledge of a discipline, premised on the linkages between the…

Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…

How does shared identity between researcher and the researched influence trust-building for data generation and knowledge production? We reflect on this question based on two separate studies conducted by African-based researchers in sociology and political science in Nigeria. We advanced two interrelated positions. The first underscores the…

In this paper, I introduce the notion of participative epistemology and discuss how it can contribute to make social data science more accountable. I do so by offering the case of a project where ethnographic, computational and sequence analysis methods have been used in combination. By presenting here in greater detail research design and pilot…

Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the…

The sociological imagination is widely considered essential to sociology and sociological scholarship-of-teaching-and-learning research. Still, sociologists have struggled to agree on precisely what it is and how to measure its development effectively. A content analysis of every article published in Teaching Sociology was conducted examining…

The research project assignment can create meaningful opportunities for students to apply sociological concepts. For grading these projects, assessment rubrics are useful pedagogical tools to evaluate students' abilities in achieving course learning objectives. In this study, I analyzed final research papers collected over multiple semesters in my…

The story of the decline of sociology has been unfolding for a few decades, but it becomes a more hair-raising tale every year. The crazed and intellectually empty ideologues completely colonized the field. They have made it their own, and the consequence is that contemporary sociology is now a wasteland for any seeking the complex truths of human…

Qualitative coding procedures emanating from grounded theory were limited by technologies of the 1960s: colored pens, scissors, and index cards. Today, electronic documents can be flexibly stored, retrieved, and cross-referenced using qualitative data analysis (QDA) software. We argue the oft-cited grounded theory framework poorly fits many…

The American Sociological Association (ASA) used social science research and data informed approaches to engage community college faculty in the discipline.

In common sociological research, income inequality is measured only at the aggregate level. The main purpose of this article is to demonstrate that there is more than meets the eye when inequality is indicated by a single measure. In this article, I introduce an alternative method that evaluates individuals' contributions to inequality as well as…

Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…

Multilevel models are increasingly used in sociology and other social sciences to analyze variation of tie outcomes in egocentrically sampled network data, particularly in studies of social support. Existing research assumes that the personal networks in the data do not overlap (i.e., they do not have actors in common), which makes standard…

Multifactorial survey experiments such as stated choice experiments are used more and more frequently in social science research. In this article, based on an experimental study on ethical and political consumption, we explore the potential of hybrid choice models to explicitly model latent psychological factors such as attitudes, overcoming a…