Monday 21 October 2024 (2nd Week, Michaelmas Term)

• 13:00 - Quant Hub seminar: Rethinking belonging - Measurement challenges across educational and professional contexts
  Dr. Ellen L (Mayo Clinic College of Medicine and Science)
  Quantitative Methods Hub – Seminar Programme MT 2024

Monday 28 October 2024 (3rd Week, Michaelmas Term)

• 13:00 - Quant Hub seminar: Exploring the dynamics of motivation and anxiety in English speaking: A multivariate longitudinal approach using Latent Growth Class Models (LGMC)
  Hao (Chuck) Wu (University of Oxford)
  Quantitative Methods Hub – Seminar Programme MT 2024

Monday 4 November 2024 (4th Week, Michaelmas Term)

• 13:00 - Quant Hub seminar: Physiological processes as a “component” of achievement emotions? – A psychometric network approach
  Miriam Wünsch (LMU Munich, Germany)
  Quantitative Methods Hub – Seminar Programme MT 2024

Monday 11 November 2024 (5th Week, Michaelmas Term)

• 13:00 - Quant Hub seminar: Finding the key social-emotional skills for learning and wellbeing: A multi-method synthesis
  Dr. Xin Tang (Shanghai Jiao Tong University, China)
  Quantitative Methods Hub – Seminar Programme MT 2024

Monday 18 November 2024 (6th Week, Michaelmas Term)

• 13:00 - Quant Hub seminar: Investigation of Rater Effects using Graph Theory and Exponential Random Graph Models: examples from high-stakes examination data
  Dr. Iasonas Lamprianou (University of Cyprus, Cyprus)
  Quantitative Methods Hub – Seminar Programme MT 2024

Monday 25 November 2024 (7th Week, Michaelmas Term)

• 13:00 - Quant Hub seminar: Comparative effects of college preparation and career preparation on educational attainment in Massachusetts, USA
  Pierre Lucien (University of Oxford)
  Quantitative Methods Hub – Seminar Programme MT 2024

Monday 2 December 2024 (8th Week, Michaelmas Term)

• 13:00 - Quant Hub seminar: Using bifactor nonlinear CFA to investigate cognitive differentiation in general and specific cognitive abilities
  Dr. Lisa Bardach (Justus-Liebig University Giessen, Germany)
  Quantitative Methods Hub – Seminar Programme MT 2024