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NCRM Text Data Workshop- part 2: Scraping web pages
No full textIn this second of three videos, Dr Lewys Brace builds upon a basic introduction to Python. He looks at how to use knowledge to build a web scraper to scrape simple text data from a website. He also does some basic analysis about text data
Fiction As Social Inquiry
Get PDFIn this keynote from the 2021 Research Methods e-Festival, Dr Ash Watson traces some of the many forms fiction takes within contemporary social inquiry to consider what creative writing offers as a medium and method for research. Bring along something to write with
Computational Social Science: where are we now?
Get PDFComputational social science offers the potential to reimagine communication theories and methods to understand and enable the algorithmically infused changing nature of work. Researchers have heralded for decades the potential of social network analysis to focus not only on who people are but also who they know. Social network analysis can be used to identify “high potentials”, who has good ideas, who is influential, what teams will get work done efficiently and effectively is well established based on decades of research.
The challenge has been the collection of network data via surveys that are time consuming, elicit low response rates and have a high obsolescence. This talk presents empirical examples ranging from corporate enterprises to simulated long duration space exploration to demonstrate how we can mine “digital exhaust”— data created by individuals every day in their algorithmically infused digital transactions, such as recommendations, newsfeeds, chats, “likes,” “follows,” @mentions, and file collaboration — to address challenges they face with issues such as team conflict, team assembly, diversity and inclusion, succession planning, and post-merger integration.
This is a recording of a keynote speech by Noshir Contractor at the 2021 Research Methods e-Festival
Surveys in the pandemic
No full textThis presentation is part of an NCRM webinar on Methods adapted or suited to research in the pandemic, 28 January 2021, Online
Presenter: Dr Andy Coverdale, University of Southampto
The NCRM quick start guide: Planning to teach social research methods online - guiding principles
Get PDFThis guide considers aspects of planning to teach social research methods that involve transformation and adaption to the online context, including examples of how online research methods teachers do this. The guide is based on NCRM research with online methods teachers and learners, involving interviews, observations and analysis of course documents
Making research happen during the pandemic
No full textThis presentation is part of an NCRM webinar on Emerging Issues in Changing Research Practices for Covid-19 Times, 11 February Online
Presenter: Prof Melanie Nind, University of Southampton
The full webinar can be viewed here: https://www.youtube.com/playlist?list=PLzv58M2GAfm69QolcJ_8JAv6oOngDKpp1 The webinar was based on the NCRM project Changing Research Practice: Undertaking social science research in the context of Covid-19
https://www.ncrm.ac.uk/research/socscicovid19
A practical guide to adopting transparent and reproducible practices in statistically orientated social science research during COVID-19
Get PDFThe unprecedented nature of the COVID-19 global pandemic has had momentously disruptive effects on contemporary social life. The empirical findings that flow from social science inquiries have important implications for establishing policies and changing practices. The speed at which the pandemic has unfolded has led to a previously unparalleled requirement for rapid results from social science studies. This acceleration has consequences for verifying empirical results, and for building incrementally on research findings.
This guide considers the methodological issues associated with undertaking transparent and reproducible social science research and provides a set of recommendations. The focus of this guide is social science research that employs statistical techniques for the analysis of large-scale and complex datasets (e.g. social surveys, administrative social science data and big data resources); however many of the issues pervade other forms of social science research
Case Studies in Research Methods Pedagogy - Teaching computational statistics through active learning
Get PDFThis case draws upon ten hours of observation, field-notes, teaching materials, one teacher and two student interviews, student notes and informal research conversations with students across the sessions. The narrative seeks to demonstrate and situate the detail of a singular teaching approach: active learning. This is done to draw out the teacher’s craft knowledge – the strategies and tactics that make the teaching come alive
Cross Classified Models Part 2: Model fitting
No full textIn this second lecture, Professor George Leckie fits several cross-classified models to the Fife dataset introducing notation and diagrams to represent cross-classified structures. He also explains how to extend the concepts of the ICC and VPC to cross-classified models and how to fit predictor variables, showing how they explain different sources of variation
Transferring online? Valuing COVID-19 methodologies: adapting qualitative research to digital
No full textThis presentation is part of an NCRM webinar on Methods adapted or suited to research in the pandemic, 28 January 2021, Online
Presenter: Poppy Gerrard-Abbott, University of Edinburg