Live workshops & bootcamps
Cohort-based, hands-on training in methodology, statistics, publishing and viva prep. Dates announced to our community first.
These are working sessions rather than lectures. Each runs as a small cohort so participants can bring their own topic, data or draft and leave with something applied to it — a sharpened research question, a cleaned dataset, a model that estimates, or a paper reframed for a specific journal.
They are built for MBA, MPhil and PhD scholars at any stage, and for university departments that want to train a whole research cohort at once. No prior statistical background is assumed for the foundational sessions; the intermediate and advanced ones assume you have data in hand or a draft underway.
Everything follows the same principle as our mentoring: we teach you to produce and defend your own work. Sessions run online, recordings are shared with participants, and each one comes with templates and worked examples you keep.
Workshops we run
Research Methodology Bootcamp
From research question to a defensible design.
- Turning a broad topic into a specific, answerable research question
- Choosing between qualitative, quantitative and mixed designs — and justifying the choice
- Defining a population, building a sampling frame and selecting a sampling technique
- Operationalising constructs into measurable, defensible items
SPSS Bootcamp
Descriptive to inferential statistics, hands-on.
- Setting up Variable View properly: measurement levels, value labels and missing-value codes
- Data screening, reverse-coding and handling missing responses before analysis
- Reliability, t-tests, ANOVA, correlation and multiple regression with assumption checks
- Reading output correctly and reporting it in the format journals expect
SmartPLS Workshop
PLS-SEM for complex models, step by step.
- When PLS-SEM is the right choice over covariance-based SEM in AMOS
- Drawing the measurement and structural model from your conceptual framework
- Assessing the measurement model: loadings, composite reliability, AVE and HTMT
- Bootstrapping for path significance, plus R squared, f squared and Q squared
AI for Researchers
Use AI ethically to accelerate your research.
- What current tools genuinely do well — and where they fabricate citations and findings
- Literature searching and screening workflows that stay verifiable
- Staying inside university and journal disclosure requirements
- Where the line sits between legitimate assistance and academic misconduct
Publication Workshop
Target, structure and submit to indexed journals.
- Reframing a thesis chapter into a paper for a specific journal
- Verifying indexing on the official Scopus and Web of Science lists, and spotting predatory outlets
- Preparing a submission that survives desk review: scope, format, abstract and declarations
- Responding to reviewer comments so a revision gets accepted
Literature Review Workshop
Systematic, PRISMA-ready review workflows.
- Building and recording reproducible search strings across multiple databases
- Screening against explicit inclusion criteria and documenting exclusions
- Synthesising thematically instead of summarising study by study
- Reporting through the PRISMA flow diagram so the numbers reconcile
Research Design Workshop
Choose and justify the right design.
- Matching design to question: descriptive, correlational, experimental and exploratory
- Cross-sectional versus longitudinal, and what each can and cannot establish
- Internal and external validity, and the threats examiners probe
- Writing a methodology chapter where every objective maps to a method
Viva Masterclass
Mock viva, question bank and defence strategy.
- Stating your original contribution in two sentences
- Defending methodological choices against the alternatives you rejected
- Handling questions about limitations without conceding the thesis
- A full mock viva with structured feedback
Want a workshop for your department?
We run cohort workshops for universities and research groups. Get in touch to schedule one.