A meta-analysis is a statistical analysis that combines the results of multiple scientific studies. Meta-analyses can be performed when multiple scientific studies are addressing the same research question. This workshop will provide you with an overview of meta-analysis and how to conduct one in your own PhD. We will also cover, the most common methods for conducting a meta-analysis as well as common issues that may be encountered. By the end of the course, you should be able to plan and conduct a meta-analysis of your own to answer a research question in your field of study and interpret the results of meta-analyses published in journal articles.

Research Methods Series: A standalone series, but also to support our understanding of research integrity & ethics; the research methods series will give overviews of qualitative and quantitative or mixed methods; why some researchers will adopt certain methods; and why some approaches are more suitable than others. The sessions will provide general ideas; signposts to follow up on specific areas; the positives and negatives of different approaches. You will need to speak to your department for full research methodology training in your chosen practice.

You can attend the whole series or just pick the ones of specific interest.

Who is this for?

Stages of PhD

Early 0-14 months

Mid 12-24 months

What are the key characteristics of successful PhDs? A discussion session identifying some of the best practices; identifying characteristics and hints. We will set goals , plan some time away from our research, and set milestones and targets getting set for 2023.

YouTube: 7 steps for PhD completion - YouTube

We can run this either online or in person. We will ask the group and go with the largest vote.

Who is this for?

Stages of PhD

Mid 12-24 months

Late 24 months to completion

Scientific argumentation

This workshop is tailored to PGRs in the STEM disciplines. STEM is an academic term that refers to Science, Technology, Engineering and Mathematics - and includes disciplines in the life sciences, physical sciences, engineering, mathematics, computer science, and the health sciences.

This session provides input into frequently encountered aspects of scientific argumentation. We will consider a variety of traditional models and structures for constructing arguments (e.g., Toulmin, Rogerian) and there will be an opportunity to practice developing logical argumentation sequences into longer stretches of text. Emphasis will be given in the session to critical thinking and detecting (and avoiding) logical fallacies and issues of cohesion. This session will be particularly of interest to PGRs who are engaged in writing a report or paper and need advice about how to deploy their argument to best effect.

Who is this for?

Stages of PhD

Mid 12-24 months

Late 24-finish