SOFTWARE DEMONSTRATION WORKSHOPS
Workshops which demonstrate the role, function and potential of the different software packages, to enable you to make an informed decision about which software is best for you. We can provide different types of demonstration workshops:
Workshops comparing different software, giving an overview of the similarities and differences between the different packages and demonstrating their use in real-world contexts.
Workshops focussing on an individual software in order to orientate you to the principles of the software, its architecture and terminology, and the principles of harnessing tools powerfully for analytic tasks, before you commit to purchasing.
SOFTWARE SPECIFIC TRAINING
Tailored workshops, delivered either face to face or remotely, designed around you, in all the major software, including ATLAS.ti, Dedoose, Discovertext, f4analyse, MAXQDA, NVivo, QDA Miner, Quirkos, and Transana.
Our training workshops incorporate the principles of the Five-Level QDA method – the pedagogy for harnessing software powerfully, developed by Nicholas Woolf and Christina Silver.
We offer one, two or three day workshops at all levels, be it introductory, intermediate and advanced.
Participants can work with sample data provided by us, or use their own project data. We cap participant numbers to ensure we can provide sufficient levels of individual support throughout.
Workshops which demonstrate how different software can be harnessed for different methodological purposes, using case illustrations to demonstrate the flexible and powerful use of analytical tools in different scenarios.
They can focus on one particular software, or illustrate and compare several.
They can be designed for potential users interested in finding out how different software packages can be used, or for existing users interested in developing their skills to harness tools for more sophisticated uses.
QUALITATIVE DATA ANALYSIS
Workshops which provide an overview of common approaches to analysing qualitative data (text, graphic, audio and video).
They are framed around the entire research cycle, illustrating the emergent and iterative nature of qualitative data analysis.
Selected analytic strategies, for example, thematic analysis, discourse analysis, content analysis and grounded theory are discussed and participants experiment with different techniques in group-based exercises.
USING SOFTWARE TO UNDERTAKE LITERATURE REVIEWS
These courses illustrate how reference management software (e.g. Endnote, RefWorks, Menderley, Zotero, etc.) and CAQDAS packages can be used together to undertake systematic or in-depth literature reviews.
They can be focused on one CAQDAS package, or compare two or more. Strategies for undertaking literature reviews are discussed and the relationship between reference management software and CAQDAS packages are illustrated.
STRENGTHENING MIXED METHODS ANALYSIS USING CAQDAS
These workshops illustrate how CAQDAS packages can be used to strengthen mixed-methods analysis. They are suitable for researchers analysing a dataset by combining analytic approaches (e.g. a content analysis and an in-depth qualitative analysis) or working with mixed data (e.g. survey data and interview / focus-group data).
If the chosen CAQDAS package enables inferential statistical analyses these are covered (e.g. MAXQDA and QDA Miner). Where the chosen CAQDAS package does not enable inferential statistical analyses, opportunities for interfacing with statistical software, such as SPSS, Stata, R and Excel, are explored.
These workshops range from beginner to advanced, from working with one’s own data to working with existing datasets. The appropriate workshop depends on how much prior understanding participants have of statistics, as well as how much hands-on practice with the software is desired during the course. Beginner workshops are oriented around the software’s functions for descriptive statistics and univariate analyses, whilst intermediate and advanced workshops can include SPSS’s tools for bivariate and multivariate analyses.
As well as uncovering the functionality of SPSS in relation to these techniques, workshops discuss relevant issues such as challenges around exploring social phenomena using quantitative measures and evaluating the potential and limits of datasets.