Free one-hour demonstrations of the following software products designed to assist mixed methods researchers
Innovations in Technology – Using Dedoose for Data Management & Analysis
Dr Michelle Salmona
Dedoose is a cross-platform cloud-based mixed-methods application which facilitates the coding and analysis of qualitative and mixed methods data and their integration with demographic and other quantitative data. Collaboration is one of the key drivers behind the development of Dedoose, allowing project owners to provide others with access to their projects, facilitating real-time online team engagement.
Using NVivo for mixed methods analysis
Prof Pat Bazeley
NVivo offers a range of tools to meet the needs of mixed methods researchers. Its particular strength is in management of complex data, for example where multiple whole or part sources need to be considered together for particular cases, and also linked with demographic and variable data. NVivo allows for inclusion of a wide range of data types within a project, has a flexible coding system, and provides versatile tools (crosstabs and matrix analysis) to support complementary and comparative analyses that combine text and numeric data. Qualitative coding information can be exported as variable data (in Excel or SPSS format) for further statistical analysis. Mapping and visual analysis tools additionally provide new ways of visualizing data and the relationships within data.
Using MAXQDA for support of MMR
MAXQDA has always had a focus on supporting mixed methods research. Text and visual documents can be imported and linked to associated demographic and variable data. Coding is straightforward, with codes able to be converted to variable data for use in comparative analyses or for export to Excel. A flexible memoing system and tools for summarising and visualising data in a variety of ways are strengths of the software. MAXQDA provides a set of tools specifically designed to support integrative mixed methods analyses – supplementing crosstabs and matrix displays with an interactive comparative quote matrix, joint displays of text and statistical data, and summary grids. Basic statistical analyses (e.g., chi, t, ANOVA) can be carried out within the software using coding and/or variable data, and there are mapping and other visual tools that support both analysis and presentation of results.