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= Statistical Methods for Cognitive Psychologists = === Michaelmas 2010 === * '''Level''' * This is a course planned with the needs in mind of a graduate student starting as a PhD student at the MRC Cognition and Brain Sciences and related institutions. It will in addition be open to others e.g. research assistants, junior scientists, visitors. * '''Style''' * The presentation will be as fairly formal lectures, each aiming * to outline a particular class of methods * to give examples of it being applied to realistic situations * to indicate how to implement it using software available at CBU * '''Location''' * Lectures will take place in the '''CBU Lecture Theatre''' on '''Thursdays''' '''from 11 am till 12 noon''' and are being given by PeterWatson who will welcome any feedback. ''Links to '''updated''' Power``Point and PDF files of the lecture notes are being added'' ''during the progress of the course''. * A synopsis of the lectures is [:Synopsis2008:here]. * Requested details of new features in SPSS version 18.0 (the latest version as of 2009) including increased use of the bootstrap technique are available [attachment:updateV18.ppt here.] * Lecture notes from last year's course are available [:StatsCourse2008Slides:here]. ||<tablewidth="797px" tableheight="424px">'''Date''' ||'''Topic''' || ||07-Oct-10 || [attachment:2009-2-EDA-PW.zip Exploratory Data Analysis] || ||21-Oct-10 || [attachment:2009-3-REG-PW.zip Simple and multiple linear regression] || ||28-Oct-10 || [attachment:2009-5-Categorical.ppt Categorical Data Analysis] || ||04-Nov-10 || [attachment:2009-6-ANOVAbsubs.zip ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies] || ||11-Nov-10 || [attachment:2009-8-Repeated.ppt Repeated Measures and Mixed Model ANOVA] || ||18-Nov-10 ||[attachment:2009-10-Post-hocs.ppt Post-hoc tests, multiple comparisons, contrasts and handling interactions] || ||25-Nov-10 || [attachment:2009-7-POWER.zip Power analysis] || ||02-Dec-10 || [attachment:2009-9-Factors.zip Latent variable models: factor analysis and all that] || |
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