Cultural competence is increasingly recognised as a methodological imperative in research involving diverse populations, and yet it remains inconsistently theorised and weakly embedded within methodological discourse. Existing frameworks often lack practical traction, leaving researchers without clear strategies for integrating cultural considerations systematically. This paper addresses this gap by reimagining the ACT model (Activate Consciousness, Connect Relations, Transform Practices) as a structured, action-oriented framework for embedding reflexivity, relational ethics, and equity-driven design across the research process. Drawing on a critical meta-synthesis of cross-disciplinary literature, supported by ChatGPT-4o DeepResearch, the paper develops a reflexively grounded research guide for navigating methodological practice in an increasingly complex research landscape shaped by geopolitical contestation and renewed demands for equity and inclusion. The ACT model is presented as a generative framework for inquiry that supports methodological judgement and positions CC as integral to research integrity rather than as a discretionary ethical supplement.
The distinction between the 'insider' and the 'outsider' is sometimes presented as a simple and static dichotomy. However, ethnographic research provides an opportunity to move from being an outsider to an insider. The experience of volunteer ethnography at two foodbanks in the North East of England involved the researcher achieving insider status, aided by their similar values and beliefs to the volunteer team. The insider status came at a personal emotional cost, arising from combining the roles of volunteer and ethnographer. Constant self-reflection was required to maintain an appropriate balance between the two roles. However, the costs were outweighed by the quality of the data and the depth of insight that arose from the researcher's insider status.
This article introduces an exploratory methodological framework termed 'Generative Visual Dialogue' (GVD). Centered on AI-generated visuals, GVD explores profound experiences difficult to access through traditional linguistic approaches, including marginalized inner worlds and complex human-nonhuman relations. The article elaborates on GVD's theoretical foundations, positioning it between new materialism and Arts-Based Research, and examines AI as a 'non-human agent'. Subsequently, it details four operational steps: 1) topic co-construction and prompt refinement; 2) generative iteration; 3) visual interpretation; and 4) entangled analysis. Drawing on an authentic case study, the article provides an empirical illustration demonstrating the framework's operational feasibility. Finally, it reflects on ethical challenges like algorithmic bias and data ownership, considering its future potential for posthuman social science research.
This article sets out methodological principles for conducting postcolonial memory studies research. Pasts associated with colonialism and their contemporary social articulation can be empirically challenging for several reasons, including their uncertain, often inarticulable, contradictory, and painful nature, which materialise in social research encounters. To navigate such challenges, we argue for the value and application of creative methodologies centring on food and cooking, textiles, music-making, and photography. Using explorations of postcolonial memories of the South Asian diaspora, including the Partition of British India, the Bangladesh War of Independence, and associated experiences of migration, we argue that such creative methodologies, which combine traditional ethnographic tools and more experimental participatory cultural activities, provide fertile entry points for research which is inclusive of diverse postcolonial perspectives and positionalities, sensitive to painful pasts, and engages with mnemonic uncertainties.
Understanding the nature of methodological innovation, adaptation and disruption in social science methods is a complex challenge. I take a particular case - researching with people with profound intellectual disabilities as subjects of knowledge - and show my development and application of a new approach for examining methodological innovation within it. The paper outlines the stages of selecting papers claiming methodological progression; mapping relationships between methodological developments; extracting target data from the papers; coding the data extracted; and seeking patterns and meaning. The outcome is learning how innovations come about, their nature and journeys within a small field where the people and their ways of knowing have been seen as unresearchable. The paper concludes that disrupting the assumption that people with profound disabilities cannot tell their perspective has been a catalyst for methodological development, and the approach to studying this was effective in clarifying the interconnected nature of such innovations.
Surveys are pivoting from interviewer-assisted to self-completion protocols, yet the consequences for data quality remain unclear. Guided by the survey satisficing theory, this study examines the COVID-19 partial mode change to self-completion in the European Social Survey Round 10. Out of the 27 countries participating in ESS9, 10 and 11, eight transitioned to self-completion in ESS10, and nineteen maintained interviewer-assisted modes. All 27 countries used interviewer-assisted modes in ESS9 and 11. We analyse item nonresponse on three items with complex response formats and three standard opinion questions with historically high missingness. We use hierarchical Bayesian beta regression to estimate mode effects and expose the divergent effects of mode change. Switching to self-completion markedly increased nonresponse for complex response formats, and a corresponding decline was observed for the standard opinion items. In our interpretation, self-completion fosters strong satisficing behaviour on complex items, yet it results in weak satisficing on opinion items.
Trauma-informed approaches (TIA) in qualitative research are vital for minimizing participant re-traumatization and addressing physical and emotional risks faced by social science researchers, especially when studying sensitive topics. Though widely used across social sciences, TIA have yet to be applied to technology-facilitated sexual violence (TFSV), which ranges from unsolicited explicit images to physical violence and sexual assault. Regardless of their magnitude, these instances take a cumulative toll and are described by research participants as traumatic. This manuscript outlines our use of TIA in our qualitative exploration of survivors' experiences of TFSV in three stages: (a) study ideation, (b) data collection, and (c) ongoing support and feedback, to protect both the researchers and participants from re-traumatization. Given the prevalence and impact of trauma amongst our participants and the associated risks for researchers exploring such topics, we explore how adopting TIA is a crucial component of social science research.
This exploratory study examined survey breakoff patterns in a rapid-response health survey of displaced Ukrainians recruited via Facebook Ads during the first six months of the 2022 Russian invasion. The campaign reached over 1.1 m users and generated 39,000 unique clicks at 0.04 pound (& euro;0.05) per click, demonstrating the feasibility of large-scale, low-cost recruitment of displaced populations during conflict. Despite the absence of incentives, 13,361 participants began the 93-item survey, with 31.7% breaking off before completion. Breakoff rates were higher among older, less educated, rural, and internally displaced participants. Among those who broke off, however, younger, higher educated, Russian-speaking, urban, and refugee participants tended to complete a greater proportion of the survey before disengaging. Sensitive questions, such as those about current location or family separation, prompted higher breakoff rates. These findings highlight the importance of designing culturally sensitive and accessible surveys that minimise breakoffs and ensure inclusive survey participation during conflict.
Recruiting participants for social science research faces growing challenges, including declining response rates and the difficulty of accessing specific, hard-to-reach populations. This short article introduces and evaluates a novel recruitment strategy - a webinar-based model ('The Academic Funnel') - designed to enhance participant engagement through a 'give-first' approach grounded in Social Exchange Theory. The study recruited Facebook group administrators for a mixed-methods longitudinal project, achieving 553 registrations and a 32.7% valid response rate (n = 181) within 48 hours. Engagement data revealed the critical role of asynchronous viewing (VOD), as live attendance accounted for only 27% of participants. Furthermore, the method established a highly responsive database, with retention rates of 90% at 5 months and 75% at 18 months. The discussion highlights the efficacy and cost-efficiency of webinar-based recruitment and its implications for online research methods.
This short article revisits insights generated through a classroom exercise designed as a methodological device for exploring key aspects of ethnographic observation and fieldnote writing. Centred on a modified card game, the activity assigned distinct roles to players with divergent instructions, to observers focusing on different dynamics, and to a group tasked with observing the observers, enabling multiple perspectives on the same social interaction. The resulting fieldnotes, composed by two student groups 1 year apart, revealed variation in what was noticed (and what was not) about bodies in the field, how these observations were described, and how meaning was tentatively constructed across observers. Drawing on this experience, the article argues that brief, structured simulations can render visible the embodied nature of ethnographic description. The exercise sheds light on the challenges and choices inherent in ethnographic practice, offering insight into the entanglement of observation and recording in producing ethnographic accounts.
In its original form, Qualitative Comparative Analysis (QCA) struggles with cases that evolve over time. Temporal QCA (TQCA) and Time-Series QCA (TS/QCA) are among the older variants that try to incorporate time in the comparative analysis. Recently, many more alternative strategies have been proposed. This article provides an overview of all known strategies to account for time and process in QCA, so that researchers can make informed research design choices. We present the main strategies regarding: the research aspect to which it pertains (casing, calibration, and/or truth table analysis), data requirements, the nature of the results, and the type of research questions that can be addressed. The following eight strategies are discussed: a conventional QCA in a mixed-methods design, using temporal conditions, conducting multiple QCA analyses for different time periods, conducting one QCA for different time periods, Trajectory-Based QCA (TJ-QCA), TQCA, TS/QCA, and Linear Growth QCA (LG-QCA).
Inclusive research with co-researchers with intellectual disabilities has only recently become a subject of interest in Poland. Yet, its potential has been indicated in numerous studies in English-speaking countries. The aim of this article is to understand how Polish co-researchers with intellectual disabilities understand their role. Eight co-researchers with intellectual disabilities who were involved in three inclusive studies, participated in individual in-depth interviews. The findings indicate the importance of inclusive research for co-researchers with intellectual disabilities, the community of people with disabilities and the societal change in the perception of these people.
Survey research faces the constant obstacle of bot and fraudulent responses that threaten to diminish the voices of marginalized communities. The objective of this study is to describe a data cleaning process, that a study focused on hard-to-reach teen populations undertook, to achieve quality data. Data were collected through a non-probability quota-based survey, designed and programmed in Qualtrics and distributed electronically. A literature review informed the development of a comprehensive 12-step cleaning process. A total of 16,702 responses were collected, only 5.5% (n = 918) were deemed usable. The raw data sample overrepresented Non-Latine (NL) white youth, older youth (ages 15-18 years), and responses from the North Central Healthy Chicago Zone (HCZ). The fraudulent responses presented positivity bias and overrepresented adverse mental health outcomes. Without proper data protection and cleaning protocols, we cannot understand the needs of marginalized communities thus limiting our ability to make effective intervention and meaningful change.
