Statistical Training Program

Introduction to Interpretive Phenomenological Analysis (IPA) Approaches
22 Oct

Introduction to Interpretive Phenomenological Analysis (IPA) Approaches

This seminar introduces the main approaches to IPA, using examples from the literature to demonstrate its use with data from interviews.
Conceptual Frameworks for Designing MM Research - Self paced learning and Q&A Session
21 Oct

Conceptual Frameworks for Designing MM Research - Self paced learning and Q&A Session

This workshop shows how conceptual frameworks act as anchoring tools to introduce clarity to early research design and research design communication.
This session will be run as a Flipped classroom . You will receive materials for self-paced learning prior to the Q&A session.
Graphical Abstractions of your Mixed Methods Research
16 Oct

Graphical Abstractions of your Mixed Methods Research

This session explored the different ways of creating a diagram that summarises the overall conceptual basis and/or strategy that lies at the heart of many empirical studies.
Meta-analysis 5: How meta-data underpins meta-analysis
14 Oct

Meta-analysis 5: How meta-data underpins meta-analysis

This seminar refers to international standards that help guide this process to be repeatable, methodical, and also relevant to the research question of interest.
Introducing Mixed Methods Foundations
09 Oct

Introducing Mixed Methods Foundations

This workshop helps researchers investigate the meanings and underlying "ologies' of Mixed Methods research, which adopts both qual(itative) and quant(itative) methods.
Meta-analysis 4: Quantitative Review to Extract Quantities for Meta-Analysis
23 Sep

Meta-analysis 4: Quantitative Review to Extract Quantities for Meta-Analysis

We address the challenge of ensuring all quantities (and uncertainties) are expressed in the same way, across studies, for input into meta-analysis. Basic quantities (like counts, averages or proportions) require careful consideration of baselines and populations.