This paper examines the frequency of midpoint responses in agree/disagree scales in a survey measuring attitudes toward science and scientific policy, a low-salience and difficult topic. It also examines the contribution of individual differences to explain the tendency to select this option. It is assumed that the use of the midpoint “Neither agree nor disagree” (NA/ND) in Agree/Disagree (A/D) scales is to some extent an indication of satisficing. It is also assumed that there are individual differences in respondents’ tendency to select the NA/ND response. Using a Generalized Linear Mixed Model we include Krosnick’s regulators of satisficing, socio-demographics and individual differences as predictors. We find that the contribution of the regulators of satisficing identified by Krosnick is small. In turn, factors associated with individual differences explain a great amount of variance on the number of NA/ND responses. We conclude that the presence of this option in a survey of a low-salience topic increases satisficing as strategy of the respondents to deal with the cognitive burden of both the A/D scale and the difficulty of the topic. Furthermore, the number of NA/ND responses may be understood as an indicator of individual differences in the propensity of respondents to satisficing when answering a survey on a low-salience or difficult topic.

This article describes a series of experimental method workshops that invite participants to enact speculative, craftful, multisensory and performative research techniques. The workshops have taken place across different European university venues with graduate students in a variety of disciplines such as digital humanities, sociology, design, media and art. Drawing on these experiences, the article argues that these workshops serve as an avenue for widening the repertoire of pedagogies for interdisciplinary qualitative inquiry through engagement with material, experiential and embodied ways of knowing. The article articulates the need to widen the repertoire of pedagogies for interdisciplinary qualitative inquiry.

Social work case files hold rich detail about the lives and needs of vulnerable groups. Traditional case-reading studies to gain generalisable knowledge are resource-intensive, however, and sample sizes thereby limited. The advent of ‘big data’ technology, and vast repositories of centrally stored electronic records offer social work researchers novel alternatives, including data linkage and predictive risk modelling using administrative data. Free-text documents, however – including assessments, reports, and case chronologies – remain a largely untapped resource. This paper describes how 5000 social work court statements held by the Child and Family Court Advisory Support Service in England (Cafcass) were analysed using natural language processing (NLP) based on simple rules and mathematical principles. Thirteen factors relating to harm and risk to children involved in care proceedings in England were identified by automated computer techniques, and almost 90% agreement with professional readers achieved when the factors were clear-cut. The study represents an innovative approach for social work research on complex social problems. In conclusion, the paper discusses learning points; practical implications; future research avenues; and the technical and ethical challenges of NLP.

Relational event models shift the analytical focus away from network ties defined in terms of transitions between mutually exclusive states of connectivity, to bonding processes emerging from observable flows linking senders and receivers of action. In this framework, the possibility to connect social mechanisms of theoretical interest to sequences of observed relational events depends on the relative speed at which these mechanisms operate. Building on established non-parametric methods in survival analysis, in this paper we introduce a new approach to the analysis of the internal time distribution of relational mechanisms of broad theoretical interest in research on the evolutionary dynamics of social and other kinds of networks. We propose general algorithms that may be adopted to study the time structure of theoretically relevant network mechanisms. We illustrate the practical value of our proposal in an analysis of a large sample of high-frequency financial transactions observed over a period of 11 years. We show how the internal time structure of the social mechanisms that control flows of market transactions is sensitive to institutional change in transaction regimes induced by successive financial crises. The results we report invite reflection on a new notion of network “structure” incorporating change as one of its constitutive elements. The study suggests a number of conjectures that provide broad conceptual bases for the development of testable hypotheses about the forces that shape the evolutionary dynamics of network structure.

This methodological study details the effectiveness of emotion mapping as a method to explore the lived experiences of professional male athletes ( n = 9) with a long-term injury. This represents the first use of emotion mapping to garner phenomenal knowledge on long-term injury within a sport psychology context, and as such is a departure from traditional approaches in this field. Following an orientation meeting, each participant was asked to produce an emotion map in the privacy of their home of two critical spaces occupied during their rehabilitation. Using video conferencing software, they were then asked to narrate their map, to facilitate understanding of their lived experiences of injury. Overall, the method was found to be efficacious in supporting existing literature on injury and revealing previously unknown aspects of long-term injury. In particular, the study provided phenomenal knowledge that was previously absent. As such, recommendations are made for the use of emotion mapping both as an effective research technique, and as a therapeutic tool.

The use of ‘design’ within qualitative research on crime and victimisation, and within the social disciplines more generally, has seen very little commentary or discussion. ‘Design’ is referred to throughout as the professional and scholarly practice rather than the ‘research design’, that is, the practical plan for the methods used to generate data. Design in this former sense has historically drawn on both arts and engineering to give form to garments, products and visual communication. This article presents a case study, followed by a reflective discussion, of a research project in which research through design methods were used to construct two focus groups involving lesbian, gay, bisexual and transgender young people and police liaison officers as part of a hate crime project. Participants were asked to design reporting devices that would respond to hateful behaviour. Through the design process, participants materialised their own experiences of hate and embodied emotional responses to those experiences. The authors argue that there are methodological, ideological and practical benefits for incorporating research through design methods within qualitative research on crime and victimisation. Design offers a way of critically and creatively reimagining how research methods are understood and utilised, challenging how criminological methodologies traditionally operate.

There has been increasing use of comic-based approaches within qualitative research as part of an increase in creative and visual methods more generally within social science research. However, whilst increasingly prevalent in dissemination, their use within data collection is less common. This paper examines the dual use of a comic-based approach embedded within a study that explored widening participation in higher education. Initially developed for the triangulation of emergent research findings with a wider group of participants, a comic panel was developed to be used as a focus of discussions within a workshop with 11 practitioners. This was then further developed for wider dissemination and to create a space for dialogue and to engage wider publics with the study’s recommendations. Both uses are critically examined, highlighting the affordances of comic-based approaches such as their capacity for supporting dissemination to a wider audience by distilling the findings and presenting them in an engaging way. Furthermore, it argues that the form can allow for creating points of ambiguity that create spaces for the audience to challenge and question taken for granted assumptions on a topic. The paper also sets out possible challenges such the need for specialist skills, the potential for oversimplification and misrepresentation of complex issues. This paper argues that with careful planning, comic-based approaches can add significant value and increase engagement with research. Finally, it offers suggestions for how this approach could be developed by future researchers.

Wildlife crime is a relatively new line of inquiry for scholars of criminology; traditionally it has been the purview of conservation science. However, as conservation is fundamentally about changing human behavior, the value of a criminological perspective to understand both the theoretical underpinnings of wildlife crime commission and practical mitigation strategies is being increasingly recognized. Based on an ethnographic case study on the poaching and trafficking of Amur tigers in the Russian Far East, this article reflects upon the use of criminological ethnographic methods to understand the complexity and subtleties of wildlife crime by directly interviewing the poachers, middlemen, buyers, and smugglers involved. The article seeks transparency on how qualitative methods can be successfully employed to engage in fieldwork with active criminals in peripheral settings.

Misunderstandings about qualitative methods, whether phenomenological or otherwise, are prevalent in social science research. Such misunderstandings leave researchers, reviewers, and editors less equipped to conduct or evaluate this method. Evaluation of phenomenology is especially complicated given the different variants that exist and the need for flexibility within these studies. Methodologists have created guides for conducting specific variants of phenomenology; however, these do not provide clear guidance as to what is an adequate sample in phenomenology. The purpose of this systematic review was to help improve implementation of phenomenological methods by exploring sample issues as they relate to study quality. We implemented an explanatory sequential mixed methods design to test relationships between samples and studies’ quality then deepen our understanding of these findings with a focused content analysis. First, we reviewed and coded 200 manuscripts following the PRISMA method. Larger samples were associated with lower quality and studies aligned with a specific phenomenological method tended to be of higher quality. Second, we identified two cases from the studies reviewed and subjected them to deductive qualitative content analysis to identify features that demonstrate quality. Findings are discussed with respect to implications for phenomenological methods in social and health sciences.

Datasets and analysis scripts are becoming more available online, but most datasets are still unclear and difficult to use due to poor meta-data. Adopting standard variable label solves most of these problems and is easily implemented if we set the labels at the time of publication, that is, for authors to also establish standard variable labels when they establish for example, question wording. This simple step involves little effort but facilitates the sharing of datasets and analysis scripts enormously. Current initiatives to improve meta-data rely on users spending much time creating new meta-data for each variable, which is time consuming, unenjoyable, and hinders adoption. Some suggestions are made on how brief, unique, and clear variable labels can be developed, especially using the last two digits of the year the scale was published in. Standards for dataset and analysis script etiquette are the future, and the final section of the manuscript examines other easy places simple standards can save time and frustration for (re)users.