Purpose: This paper aims to consider ways to visually model data generated by qualitative case studies, pointing out a need for visualizations that depict both synchronic relations across representations and how those relations change diachronically. To develop an appropriate modeling approach, the paper critically examines Max Boisot's I-Space…

This article outlines a three-phase, team-based approach used to analyze qualitative data from a nation-wide needs assessment of access to Veteran Health Administration services for rural-dwelling veterans. The method described here was used to develop the trustworthiness of findings from analysis of a large qualitative data set, without the use…

Scholars who conduct process tracing often face the problem of missing data. The inability to document key steps in their causal chains makes it difficult to validate theoretical models. In this article, we conceptualize "missingness" as it relates to process tracing, describe different scenarios in which it is pervasive, and present…

Internet-based platforms are increasingly used to collect qualitative data. We conducted a quasi-experimental study to explore whether data collection mode affects data content and data collection costs. Participants (N = 171) were assigned systematically to one of four modes--(1) in-person (control), (2) online video-based, (3) online chat-based,…

This chapter aims to rework humanist understandings of data in art|education|research by developing the 'data event' as a methodological concept which is productive for post-qualitative inquiry. Working with data as event involves a posthumanist reconceptualisation of art|education|research practice that does not separate sensorial data from the…

This paper addresses the entanglements of the earth's becoming in a multi site cross hemisphere study of the infinite moments of young children's world making, recorded in multimodal videos, still images, and children's productions. The postqualitative project was informed by new materialist and posthuman theorising. The researchers conducted…

Participatory sensing is a data collection method in which communities of people collect and share data to investigate large-scale processes. These data have many features often associated with the big data paradigm: they are rich and multivariate, include non-numeric data, and are collected as determined by an algorithm rather than by traditional…

Qualitative training rarely acknowledges the role of emotions in both data collection and analysis. While bracketing emotions is an important part of reflexivity, emotions are both a source of data and a source of 'work' (Hochschild, 1983). Accordingly, mentoring junior qualitative scholars also requires emotion work. Issues of race, gender, and…

Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…

Qualitative fieldwork research on sensitive topics sometimes requires that interviewees be granted confidentiality and anonymity. When qualitative researchers later publish their findings, they must ensure that any statements obtained during fieldwork interviews cannot be traced back to the interviewees. Given these protections to interviewees,…

Approaches to synthesizing qualitative data have, to date, largely focused on integrating the findings from published reports. However, developments in text mining software offer the potential for efficient analysis of large pooled primary qualitative datasets. This case study aimed to (a) provide a step-by-step guide to using one software…

This paper describes a survey of data practices given to the Purdue College of Agriculture. Data practices are a concern for many researchers with new governmental funding mandates that require data management plans, and for the institution providing resources to comply with these mandates. The survey attempted to answer these questions: What are…

Observational citizen science is an effective way to supplement the environmental datasets compiled by professional scientists. Involving volunteers in data collection has the added educational benefits of increased scientific awareness and local ownership of environmental concerns. This thesis provides an in-depth exploration of observational…

In this article, the authors experiment with data-ing as a methodology, and wonder how three researchers?--?two in Oslo (Norway) and one in Melbourne (Australia)?--?can come closer to-with the research material by following and buggy-walking a young wayfarer in urban spaces and places. The ideas of not knowing and experimenting, making-with urban…

Ensuring equitable opportunities and outcomes for all students is a top priority of many educators and policymakers across the globe. Data use can be an important lever for achieving equity, but how this can occur is not well understood. In this article, we draw upon knowledge gained in a decade of in-depth qualitative research to examine the ways…