• International large-scale assessment analysis in R workshop

    January 20th University of Bath, 10:00 – 16:30   This is a workshop for analysing data from international large-scale assessments. The workshop will focus on the International Civic and Citizenship Education Study (ICCS), but the content is applicable for other assessments (e.g. TIMSS, PISA, PIRLS). The goal of the workshop is to support students from any discipline interested […]

  • What is Research Data? Practical Guidance on Organising and Sharing your Files and Findings

    Data Analysis Webinar Series

    Every research project generates data. It’s the material that you gather, create, or interpret to answer your research questions; whether that is numbers, images, recordings, or documents. Good research data management and sharing are essential for making your work accessible, your methods transparent, and your findings easy to use and build upon. Funders, publishers, and universities […]

  • Analysing large-scale assessment data

    Data Analysis Webinar Series

    Issues with using police data to investigate offending: A research perspective Dr Ioana Crivatu, Research Fellow at the University of Birmingham Dr Ruth Spence, Senior Research Fellow at Middlesex University Police data is an important source of information for researchers about investigations, suspects, and victims. However, crime records can be problematic to work with. Here […]

  • Qualitative Research Symposium – Applications & Call for Papers

    The Centre for Qualitative Research looks forward to inviting you all to the University of Bath to ponder important questions around participation, access and inclusion in qualitative research.   If you would like to attend or apply for the call, check out the link below.

  • Philosophy of Social Science

    Online

    This talk will draw upon Alexander Betts’ recent book Social Science: A Very Short Introduction to offer a contemporary take on the philosophy of social science. It will focus in particular on the underpinnings of interdisciplinary social science, arguing that across disciplines, the social sciences have more in common than that which divides them.  Where: Hybrid | GUDTP […]

  • Bayesian Statistics for Applied Research

    London School of Economics and Political Science

    This two-day course provides a practical and accessible introduction to Bayesian statistics for applied research in any field. Students will benefit from a combination of lectures and discussion to explore fundamental concepts unlocking the potential to design bespoke statistical analyses based on your data and hypotheses as well as practical exercises to gain hands-on experience […]

  • Bayesian Statistics for Applied Research

    This two-day course provides a practical and accessible introduction to Bayesian statistics for applied research in any field. Students will benefit from a combination of lectures and discussion to explore fundamental concepts unlocking the potential to design bespoke statistical analyses based on your data and hypotheses as well as practical exercises to gain hands-on experience […]

  • Philosophy as method for data analysis in research

    Data Analysis Webinar Series

    Educational researchers are often encouraged to reflect on their ‘philosophical positioning’, i.e. the ontological, epistemological and axiological (ethical) assumptions that underpin their research design. Meanwhile, in recent years in anglophone educational research departments, using philosophy as a ‘method’ in its own right, as opposed to a tool supporting empirical research, has tended to go out […]

  • Introduction to agent-based modelling in NetLogo Introduction to agent-based modelling in NetLogo

    6 Worcester St, Oxford OX1 2BX

    Whether it’s ant colonies, traffic jams, fisheries, predator-prey interactions, segregation patterns in urban areas, or viruses spreading through populations, we are surrounded by complex systems. Those have lots of different parts that interact in non-linear ways, giving rise to patterns that are difficult to predict by looking at individual components in isolation. And when these […]

  • Reproducible data analysis pipelines in R

    6 Worcester St, Oxford OX1 2BX

    Years ago, you wrote a data analysis script. Hundreds of lines of R code, all in a single file. It was not beautiful, but it worked, and you got a great paper out of it. But now some new version of one of the datasets you used has come out, and there is also that […]