‘What is immediate and obvious feels real’: National identity and emotional vulnerabilities in the field

This article provides a critical reflection on methodological issues at the interface of researcher national identity and emotional vulnerability. This aspect of social research is often neglected in discussions of positionality, primarily in relation to emotional risk in the field, and here we address this gap in the literature. Rather than reflecting on access and rapport, or issues related to the complexities of insider or outsider research, the national identity of the researcher is considered alongside emotional entanglements experienced in the field. The emotion work that is performed, and the emotional risks that are experienced by the researcher as a consequence of nationality reveal much about the complexities of identity and power relations in the field. The fieldwork informing this article was undertaken as part of an Economic and Social Research Council (ESRC)-funded study (ES/N019423/1) that examined how seafarers from different ethnic and faith backgrounds interact with each other on board and how their religious/spiritual and welfare needs are addressed ashore.

Understanding value in a healthcare setting: An application of the business model canvas

The business model canvas is a popular tool used to develop value-driven business models. Specific emphasis is placed on understanding what customers value and providing users with steps on how to design and deliver value for their customers. In health care, creating and delivering value for patients is an often-discussed topic, with the provision of patient-centered care becoming a standard for many health care organizations. While patients play a key role in determining value, providers are the key to delivering value. Therefore, effective health care management relies on integrating multiple perspectives from key stakeholders. This process requires consideration of the key needs that must be addressed, the resources and capabilities necessary to meet these needs, and the interests and values specific to each set of stakeholders. The business model canvas lends itself well to health care service planning as it incorporates the factors described above into the business model’s conceptualization and subsequent realization. This article outlines how the business model canvas was applied to assess the needs of physician stakeholders to help guide the expansion of a pharmacogenomic-based precision medicine clinic that conducts genetic testing for patients at risk of experiencing adverse drug reactions. The article provides a detailed description of how the business model canvas was used and adapted to understand physician’s responsibilities and challenges related to drug prescription and dosing, and how the clinic could address physician needs and create value by mapping clinic services onto physician needs and wants. Interviews were conducted with physicians and the data were analyzed following the recommendations of the developers of the business model canvas. The article examines the strengths and limitations of the business model canvas and discusses its applicability to a health care setting.

Stripping back the novelty: A critical reflection on the dual use of a comic-based approach to engage participants and publics

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.

Reducing respondents’ perceptions of bias in survey research

Response rates for surveys have declined steadily over the last few decades. During this period, trust in science has also waned and conspiratorial theorizing around scientific issues has seemingly become more prevalent. In our prior work, we found that a significant portion of respondents will claim that a given survey is “biased.” In this follow-up research, we qualify these perceptions of bias and point to potential causes and ameliorative mechanisms.

Effects of digital mediation and familiarity in online video interviews between peers

In times of social distancing, we need to adapt some of our research methods. Methodologies in field research can be partly replaced by a combination of online methods, which will often include online interviews. Technologically, there are few limitations to conducting interviews online, but there are side effects to digital mediation: privacy related concerns, technology hiccups, and physical distance may be barriers to disclosure for the interviewee. A survey among master students who had conducted interviews online confirmed these negative effects on the flow of interviews. Barriers to disclosure may be overcome by introducing familiarity and role-sharing. We tested the methodology of duo interviews via online video-calling tool Skype. In duo interviews, two respondents who know each other, interview each other in absence of a researcher. This explorative study investigated the effects of digital mediation on the flow of interviews and possible mitigation by familiarity between interviewer and interviewee. The qualitative study’s respondents were mostly experienced interviewers who knew each other well and were also experienced in using online video-calling tools, which reduced the influence of variation in technical and interviewing skills. The focus of the study was on finding conditions for the use of the familiarity strategy in online interviews. While familiarity between interview participants was reported to positively affect disclosure, the use of this method is limited to specific interview purposes. An unexpected finding was that the absent researcher was, in fact, present in the interview due to the element of video-recording. We list recommendations and conditions for conducting duo interviews over online video-calling tools, as well as limitations.

Exploring the drivers of malnutrition in West Africa from health and social science perspectives: A comparative methodological review

West Africa has a high burden of malnutrition and the drivers are often complex, highly context-specific, and cut across individual, social, political and environmental domains. Public health research most often considers immediate individual health and diet drivers, at the expense of wider considerations that may fall outside of a health agenda. The objective of this systematic mapping review is to map the broad drivers of malnutrition in West Africa, from public health and social science perspectives, and to evaluate the additional value of an interdisciplinary approach. Evidence was gathered from one public health (MEDLINE) and one social science (International Bibliography of Social Science) database using a detailed search syntax tailored to each disciplinary configuration. Literature was screened against pre-determined eligibility criteria and extracted from abstracts. Studies published in English or French between January 2010 and April 2018 were considered for inclusion. Driver categories (immediate, underlying and basic drivers) were coded against the UNICEF conceptual framework of malnutrition. A total of 358 studies were included; 237 were retrieved from the public health database and 124 from the social science database, 3 studies were included in both. The public health and social science literature document different drivers, with MEDLINE most often reporting immediate drivers of malnutrition and the International Bibliography of Social Science database reporting underlying and basic drivers. The combined literature offers more balanced representation across categories. An interdisciplinary approach proved successful in achieving complementarity in search results while upholding rigorous methods. We recommend that interdisciplinary approaches are utilised to bridge recognised gaps between defined disciplines.

Suspicious and fraudulent online survey participation: Introducing the REAL framework

Online survey research has significantly increased in popularity in recent years. With its use, researchers have a new set of concerns about data collection and analysis to consider, including the possibility of fraudulent survey submissions. The purpose of this article is to demonstrate to survey researchers an innovative and systematized process for addressing online survey fraud over the course of collecting survey data, especially when respondents collect incentives for participation. We provide the Reflect, Expect, Analyze, Label Framework, which includes four sets of guiding questions for use by online survey researchers to plan for addressing survey fraud and making determinations about the inclusion or exclusion of participant submissions from the dataset based on level of suspicion. We also provide a full case example utilizing the Reflect, Expect, Analyze, Label Framework as an appendix. Those wanting to apply the Reflect, Expect, Analyze, Label Framework should keep in mind several considerations as they apply it, including determining logistical needs ahead of survey implementation, considering the ethical issues related to including or excluding data in a study, and considering the issues related to providing incentives for participating in research. Future research should assess the frequency of survey fraud, investigate the reasons for its occurrence and explore the role social networks may play in fraudulent participants sharing information. We suggest that researchers consider online survey fraud as an issue over the lifespan of their survey and apply the guiding questions we present to address the issue throughout.

A robust effect size measure Aw for MANOVA with non-normal and non-homogenous data

A common research question in psychology entails examining whether significant group differences (e.g. male and female) can be found in a list of numeric variables that measure the same underlying construct (e.g. intelligence). Researchers often use a multivariate analysis of variance (MANOVA), which is based on conventional null-hypothesis significance testing (NHST). Recently, a number of quantitative researchers have suggested reporting an effect size measure (ES) in this research scenario because of the perceived shortcomings of NHST. Thus, a number of MANOVA ESs have been proposed (e.g. generalized eta squared [Formula: see text], generalized omega squared [Formula: see text]), but they rely on two key assumptions—multivariate normality and homogeneity of covariance matrices—which are frequently violated in psychological research. To solve this problem we propose a non-parametric (or assumptions-free) ES ( Aw) for MANOVA. The new ES is developed on the basis of the non-parametric A in ANOVA. To test Aw we conducted a Monte-Carlo simulation. The results showed that Aw was accurate (robust) across different manipulated conditions—including non-normal distributions, unequal covariance matrices between groups, total sample sizes, sample size ratios, true ES values, and numbers of dependent variables—thereby providing empirical evidence supporting the use of Aw, particularly when key assumptions are violated. Implications of the proposed Aw for psychological research and other disciplines are also discussed.

Methodologically materialising hate: Incorporating participatory design methods within qualitative research on crime and victimisation

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.