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Statistics Training and ESRC

Statistics Training and ESRC. Chris Skinner National Centre for Research Methods University of Southampton. Background. 'critical deficit in quantitative skills within the UK’ Commission on the Social Sciences (2003)

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Statistics Training and ESRC

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  1. Statistics Training and ESRC Chris Skinner National Centre for Research Methods University of Southampton

  2. Background • 'critical deficit in quantitative skills within the UK’ Commission on the Social Sciences (2003) • quantitative social science a ‘strategically important and vulnerable subject’ HEFCE (2005)

  3. Capacity Concerns • shortages of people and skills • quality of research

  4. Challenges • to promote interest in quantitative research, motivation to take up opportunities for training and development • to provide opportunities for training and development, which address needs

  5. ESRC Initiatives: Postgraduate • training guidelines • studentships (enhanced stipend of +£3k for advanced quantitative methods)

  6. ESRC Programmes and Centres • Analysis of Large and Complex Datasets • Centre for Applied Social Surveys • Research Methods Programme • National Centre for Research Methods • Researcher Development Initiative • Quantitative Methods

  7. Other ESRC Training linked to data resources, e.g. • Economic and Social Data Service Training linked to programmes, e.g. • Survey Design and Measurement • Understanding Population Trends and Processes • Teaching and Learning Research Programme

  8. National Centre for Research Methods • Hub at University of Southampton • 6 Nodes including: • LEMMA (multilevel modelling) Bristol • Lancaster/Warwick (modelling) • BIAS (Bayesian methods) Imperial College • Courses in Applied Social Surveys (CASS) (Southampton)

  9. NCRM/CASS: introductory courses • Descriptive and Inferential Statistics • Exploring Relationships • Regression Methods for Survey Data • Essentials of Survey Design and Implementation • Generalised Linear Models • Intro. to Multilevel Modelling • Intro. to Bayesian Inference using WinBUGS • Workshops at BERA, BSA etc.

  10. NCRM/CASS: more specialized courses/workshops 1 • Structural Equation Modelling • Longitudinal Data Analysis • Duration Analysis • Event History Analysis • Bayesian Spatial Modelling • Spatial Data Analysis with R

  11. NCRM/CASS: more specialized courses/workshops 2 • Recent Advances in Multilevel Modelling • Multilevel Discrete Event History Analysis • Bayesian Hierarchical Models using WinBUGS • Bootstrap Methods and their Application • Multi-dimensional Scaling

  12. NCRM/CASS: more specialized courses/workshops 3 • Methods for Missing Data • Questionnaire Design • Design and Implementation of Telephone Surveys • Data Linkage: Exploring the Potential

  13. Researcher Development Initiative • Essex Summer School in Social Science Data Analysis and Collection • Longitudinal Data Analysis for Social Science Researchers • Tools and Training for Analysis of Multilevel Data with Missing Observations • Scottish Social Survey Network

  14. Issues in Training • methods of training and adult learning: courses, ICT & e-learning, mentoring • embedding training in different research contexts and career trajectories • problem-based learning • discipline-based or cross-disciplinary

  15. Training infrastructure • cascade models, training trainers, adding value • consumer-led or producer-led funding • regional vs. national (ESRC Regional Training Centres) • ESRC/EPSRC • academic/non-academic • timing issues, e.g. annual courses, sustainability

  16. Issues of Level • heterogeneity of backgrounds • provision at different levels • progression

  17. Challenges for NCRM developing and supporting a national training infrastructure (beyond PG level)

  18. Coordinating Challenges for NCRM • information and communications • framework/curricula (building on PG training guidelines) • levels, pre-requisites and self-assessment • accreditation, CAT

  19. Training the Trainers: supporting the teaching of research methods to postgraduate students in the social sciences Monday 4 June, Royal Statistical Society • National Centre for Research Methods www.ncrm.ac.uk • Researcher Development Initiative www.rdi.ac.uk

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