Dedoose is a data analysis software that facilitates qualitative and mixed methods research. The dedoose interface supports the codification of qualitative data, integration of diverse data types, and the visualization of diverse data types.
CODING WITH DEDOOSE
AUDIO AND VISUAL DATA ANALYSIS
Sample Dedoose Research Projects:
Clare, S.(2005). Finding dignity in dirty work: The constraints and rewards of low-wage home care labor. Sociology of Health and Illness, 27(6), 831-854.
The aging of the population in the U.S. and elsewhere raises important questions about who will provide long-term care for the elderly and disabled. Current projections indicate that home care workers—most of whom are unskilled, untrained and underpaid—will increasingly absorb responsibility for care. While research to-date confirms the demanding aspects of the work and the need for improved working conditions, little is known about how home care workers themselves experience and negotiate their labour on a daily basis. This paper attempts to address this gap by examining how home care workers assign meaning to their “dirty work.” Qualitative interviews suggest that home care workers have conflicted, often contradictory, relationship to their labour. Workers identify constraints that compromise their ability to do a good job or to experience their work as meaningful, but they also report several rewards that come from caring for dependent adults. I suggest workers draw dignity from these rewards, especially workers who enter home care after fleeing an alienating service job, within or outside of the healthcare industry.
Briggs, X.S. (1997). Moving up versus moving out: Neighborhood effects in housing mobility programs. Housing Policy Debate, 8(1), 195-234.
This article suggests ways to better design, conduct, and interpret evaluations of the effects of housing mobility programs on participants, with emphasis on how to isolate neighborhood effects. It reviews earlier critiques of neighborhood effects research and discusses the key assumptions of housing mobility programs–about the benefits of affluent neighbors, the spatial organization of opportunity for the urban poor, and the meanings of “neighborhood” to residents, researchers, and policy makers. Studying mobility contexts, especially in suburban areas, offers a special challenge to researchers. More research is needed that looks at residents’ social ties and uses mixed-methods approaches. Ethnographic data, in particular, would enhance the validity of the quantitative data that now dominate studies of neighborhood effects. Adding substantially to what we know about the processes or mechanisms–the “how” of neighborhood effects–mixed methods approaches would also make research much more useful to policy makers and program managers.
Daley, T. C. (2005). Beliefs about treatment of mental health problems among Cambodian American children and parents. Social Science and Medicine, 61, 2394-2395.
Beliefs about treatment of mental health problems are a critical area for examination among immigrant and refugee populations. Data on treatment of child problems have been conspicuously absent from the literature. This study examines explanatory models of treatment among 40 second-generation Cambodian children aged 8–18 and their parents in the US. Comparisons of perceptions of intervention for an externalizing problem (gang-related behavior) and an internalizing problem (depression) are made in a group of children who have received mental health services, their parents, and a matched community sample. A significant interaction between respondent and group membership was present in the perception that these problems could be helped, and contrary to past findings among Asian Americans, both children and parents generally endorsed the use of mental health services. Data about actual experiences with mental health services are used to help explain the findings and suggest implications for treatment of Cambodian American youth.