This is a session of Topic 5: Statistics education and the wider society Full topic list
(Monday 3rd, 16:00-18:00)
Statistics in the social sciences - Psychology, Sociology
Organiser
Abstract
These are exciting times for statistical practice in the Social Sciences! There are many lively debates among researchers about which techniques are best for designing research, drawing conclusions from data, and communicating results. How should we respond to the telling criticisms of null hypothesis significance testing? Will confidence intervals be more effective for promoting understanding of research findings? How widely can meta-analysis be used to answer society’s big questions? Should robust methods, or Bayesian techniques, or resampling methods be more widely used in the Social Sciences? What graphical representations make findings vivid, and easily appreciated by policy makers and the public?
This session will discuss the consequences for statistics education of these debates. How should the statistics curriculum and teaching methods be developed to best serve students in the Social Sciences? How can researchers be most effectively supported to understand and choose less familiar techniques that will be most useful for their research?
Papers
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