Research Matters: Pretty pictures and parameters - understanding statistics using graphics (Research Counts)
| Dates: | 11 June 2014 |
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| Times: | 12:00 - 13:00 |
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| What is it: | Seminar |
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| Organiser: | School of Environment, Education and Development |
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| Who is it for: | University staff, Current University students |
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| Speaker: | Graeme Hutcheson |
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Using statistics effectively in education involves applying a range of
analyses to model many different types of data; linear models for
variables measured on a continuous scale (eg. OLS regression and ANOVA),
logit models for categorical variables (eg. logistic, proportional-odds
and multinomial) and models for count variables (eg. Poisson regression,
chi-square and log-linear).
These models present a challenge for researchers and a steep learning
curve for PhD students who often have little or no background in
statistics and as a consequence are often daunted by the time and resources
required to become statistically literate. This session will argue that
it is possible for a comprehensive range of techniques to be learned
within the time available to PhD students if the techniques are applied
as part of a coherent underlying theory (generalized linear models) and a
systematic method of representating these models is adopted (a graphical
representation based on predictions).
Although this presentation deals with a range of statistical models, the
emphasis is on how to teach a comprehensive system of analysis in a
time-frame typically available to a PhD student.
Travel and Contact Information
Find event
AG3/4
Ellen Wilkinson Building
Manchester
