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…

One of the ways in which students can be taught science is by doing science, the intention being to help students understand the nature, processes, and methods of science. Investigative research projects may be used in an attempt to reflect some aspects of science more authentically than other teaching and learning approaches, such as confirmatory…

This article introduces an open-source software package--R for Qualitative Data Analysis (RQDA). RQDA is an R package for analysis of text-formatted data, which is compatible across operating platforms. It is user-friendly and seamlessly integrates with R, which makes it possible to conduct statistical analyses on qualitative coding. Alternative…

Where does science and technology studies (STS) belong? In "A Place for Science and Technology Studies," Jane Calvert takes readers through eight different rooms--the laboratory, the conference room, the classroom, the coffee room, the art studio, the bioethics building, the policy room, and the ivory tower--investigating the…

Recent findings from social attention research suggest direct engagement with others is a necessary condition for the social cognitive development of both autistic children and their typically developing peers. These findings come from studies that have used eye-tracking technology and paradigms for measuring social attention in naturalistic,…

Based on three vignettes taken from interviews with friends who were members of a social-ecological transition initiative of which I was both an active participant and a researcher, this paper explores ethnography in friendship. Breaking with the methodological proposals known as friendship as method, this text proposes to reflect on the ways…

Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimensional item response theory (MIRT) provides a unified framework and convenient statistical tool for item analysis, calibration, and scoring. However, the computational…

Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study…

While conflict event data sets are increasingly used in contemporary conflict research, important concerns persist regarding the quality of the collected data. Such concerns are not necessarily new. Yet, because the methodological debate and evidence on potential errors remains scattered across different subdisciplines of social sciences, there is…

Purpose: This current paper attempts to bring more light to the current debate of understanding phenomenological research methods, in order to clarify the interpretive phenomenological inquiry with Heidegger's philosophy of phenomenology. Design/methodology/approach: The paper uniquely presents the three distinctions of Heideggerian thoughts in…

Are social science, cross-border research projects, where recruitment and data collection are carried out remotely (e.g. through social media and online platforms), required to follow similar ethical and data-sharing procedures as 'on-the-ground' studies that use traditional means of recruitment and participant engagement? This article reflects on…

Over the past decade, public awareness of transgender people has rapidly increased. Yet people who do not conform to the expectations of their assigned gender often face social prejudice and structural marginalization. Within this context, an increasing number of education researchers have shown interest in taking up questions related to…