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Member rate £492.50
Non-Member rate £985.00
Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked
*If you attended our Methods School in Summer/Winter 2024.
Thursday 21 – Saturday 23 February, 09:00–17:00 (organised flexibly)
This Workshop is tailored for scholars with significant research experience beyond their PhD, and organised on a flexible basis to meet specific methodological needs.
Tamás will cover a broad span of statistical and formal methods. Depending on participants’ needs, this may include aspects of survey and experimental design, quality control, missing data, methods of causal analysis, graphical modelling (aka Bayesian networks), and methods for the detection and analysis of higher dimensional interactions. Some issues of ‘mixed’ methods designs, with a strong quantitative component, may also be covered.
Tamás Rudas is Professor in the Department of Statistics, Faculty of Social Sciences, Eotvos Lorand University, Budapest.
He is also Recurrent Visiting Professor at Central European University’s Political Science Department, and Affiliate Professor in the Department of Statistics at the University of Washington, Seattle.
Tamás is Past President of the European Association of Methodology and an Elected Fellow of the European Academy of Sociology. He was Founding Dean of the Faculty of Social Sciences, Eotvos Lorand University (2003-2009) and Director General of the Centre for Social Sciences, Hungarian Academy of Sciences (2016-2018).
His main research areas are methodology of the social sciences and categorical data analysis.
If you are an experienced scholar with significant research experience beyond your PhD, and/or if you occupy a senior academic role, this Workshop is for you.
Typical research methods needs / challenges you might face include:
We recognise that time is scarce for seasoned scholars like you. This Workshop offers you a time-efficient formula to get tailored advice from an expert team.
This Workshop is organised on a flexible basis to meet your specific needs. It covers a broad span of statistical and formal methods. Depending on participants’ needs, this may include aspects of survey and experimental design, quality control, missing data, methods of causal analysis, graphical modelling (aka Bayesian networks), and methods for the detection and analysis of higher dimensional interactions. Some issues of ‘mixed’ methods designs, with a strong quantitative component, may also be covered.
This is a fully interactive Workshop. However, if you wish, training updates can be organised à la carte, and training resources provided.
Phase 1: Input
Until 15 December, prospective participants email Tamás with the core methodological questions / problems / arbitrations they currently face. Tamás and Sanja then correspond with participants to adapt the Workshop to best suit participants’ needs.
Phase 2: Three-day Workshop, 21 – 23 February
Each day’s schedule is organised around participants’ needs. It involves non-limitative list group discussions / Q&A sessions around each participant’s personal projects, as well as discussions on overarching methodological issues.
Ample time is also provided for one-to-one meetings with Tamás and Sanja.
This Workshop takes place in parallel with Benoît Rihoux's Multi-Method Designs, Case-oriented and Comparative Workshop. If participants wish, we will convene a common session involving Tamás, Benoît, and their assistants, along with participants from both Workshops.
You can book at least one appointment with Benoît, and you’ll have the chance to talk informally with other methods experts over dinner on the final day.
Catering & hospitality included in the registration fee:
Phase 3: Additional guidance, March – June
Tamás and Sanja remain available for up to four Skype appointments per participant. You are also welcome to email them for further guidance.