معرفی
Chris Stride is a Senior Lecturer in Statistics at the Sheffield University Management School within the University of Sheffield. As an applied statistician, he specializes in complex multilevel and longitudinal data analysis, with expertise in SPSS, Mplus, and R. His research spans diverse social science domains, including sports psychology, workplace well-being, and public health.
- Education: No explicit details provided
Research interests include:
- Statistical methods in non-quantitative disciplines
- Perfectionism and well-being
- Sports-related behaviors (cheating, statuary)
- Nostalgia branding
- Urban design impacts on older adults' well-being
Recent article trends focus on organizational behavior, public health, sports sociology, and psychological modeling using advanced statistics. Key keywords: behavioral health, multilevel analysis, social identity, emotional regulation, landscape psychology, and workplace dynamics.
Scientific awards:
- Chartered Statistician (Royal Statistical Society)
- Fellow of the Royal Statistical Society
- Chartered Scientist (Science Council)
- ASSESS Committee Member
Teaching includes multivariate statistics modules (MGT6167, PSY6010, PSY6210) and SPSS training for postgraduates. He also runs advanced methods day-schools for Social Science DTC students and offers a weekly Statistics Clinic.
Professional activities encompass statistical consultancy for Barclays Bank, NHS, and Department for Education; expert advisory roles in national data collection; and advanced methods training at over 100 universities worldwide. He co-leads the Sporting Statues Project and contributes to journals as Associate Editor for the Journal of Quantitative Analysis in Sports.
