165 8 Mixed media, triangulation and mixed methods In this chapter we explore the reasons why researchers use more than one data collection method in their research, and the potential benefits this can have for including disabled participants. We look at the use of triangulation, mixed methods and mixed media, and then go on to discuss the accessibility issues linked with a range of individual research methods Triangulation1 refers to an approach that strategically uses more than one method, theory or researcher to collect and analyse data. The intended
Key messages Turning points are challenging to study with common designs. Panel-based mixed methods designs offer a solution. They enable studying sequences in detail and also offer insights into individuals’ experiences. They extend data collection into the future; a crucial prospect for analysing processes across respondents’ lives. Introduction Life course research often puts high demands on data. Many phenomena of interest take place as processes over extended periods of time, which requires longitudinal data. In addition, life courses
components; provided a website to support easy access to the research literature; drew CBOs to the website and kept them engaged through newsletters; provided research-related capacity-building sessions. A unique component emerging from the initial discussion was the incorporation of networking sessions for CBOs. Method Within a mixed-methods design, results from the semi-structured survey were used to inform the focus group and interview discussions with CBO managers and staff members ( Feilzer, 2010 ). The purpose was to gauge the success of the strategy
and boys in three regions: East Africa, the Middle East and North Africa (MENA) and South Asia. Using mixed methods, the study is weaving together survey findings from adolescents and their caregivers with in-depth qualitative research with adolescents, caregivers and siblings, as well as community leaders, service providers and policy officials. This chapter highlights key features of GAGE’s longitudinal design: (1) working with two distinct age cohorts (younger adolescents aged 10–12 and older adolescents aged 15–17) to capture the dynamism of this life stage
211 ELEVEN How grandparents influence the religiosity of their grandchildren: a mixed-methods study of three-generation families in the United States Vern L. Bengtson and Merril Silverstein Introduction How values such as religion are communicated and transmitted across generations is important for understanding the linkage between family-level processes and macro-societal change. Surveys have shown historical declines in the centrality of religious affiliation in the United States, particularly in the past three decades (Pew Forum on Religious and
43 THREE Time in mixed methods longitudinal research: working across written narratives and large scale panel survey data to investigate attitudes to volunteering Rose Lindsey, Elizabeth Metcalfe and Rosalind Edwards Introduction The aim of this chapter is to explore the methodological and analytical challenges thrown up by an ongoing study that has been reusing and combining longitudinal qualitative narrative and quantitative survey data to research individual attitudes to voluntarism between 1981 and 2012.1 This period represents a time of economic and
KB role ( Norton et al, 2016 ). The current study builds on methods and findings of those previous studies to increase understanding of the KB experience and how it leads to evidence uptake. Research methodology Design The research team used a mixed-methods explanatory sequential study design ( Creswell, 2015 ), first to quantitatively describe characteristics of the KBs and their evidence-sharing and use behaviour, and then qualitatively develop insights into the quantitative data to explain the decisions made by KBs in their intermediary role. Study
for analysis We adopted a parallel mixed-methods design, in which the qualitative and quantitative data were collected separately ( Teddlie and Tashakkori, 2009 ). Both were informed by discussions using a participatory approach and this design reflected the iterative nature of the co-production process, in which priorities and study design were tailored according to community priorities at each stage. Convergence was used to triangulate the findings at the analysis stage ( Blaikie, 2009 ), with qualitative findings used to explain and expand on the quantitative
the financial costs of volunteering, which may be linked to place-based structural barriers (for example, a lack of transportation options). Methodology and results A mixed-methods approach was undertaken combining national survey data results with qualitative interviews. A sequential transformative perspective was employed, whereby the quantitative methods preceded the qualitative methods ( Creswell et al, 2003 ). Four purposes of using mixed methods were sought ( Greene, 2007 ): development – whereby quantitative results were used to help build an
scene for the day-to-day-practices of doing family and can also be seen as resources for and/or demands on two important life spheres: the family and paid employment. Furthermore, we integrated pandemic-related changes into the familial arrangements of caring and paid working as predictors, as we expected them to have important impacts on perceived conflicts, as well as on concrete practices of doing family. Methods Study design: study population, sampling strategy and data collection A mixed-methods approach was applied. Two-wave panel data of the project
