<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article  PUBLIC '-//OASIS//DTD DocBook XML V4.4//EN'  'http://www.docbook.org/xml/4.4/docbookx.dtd'><article><articleinfo><title>StatsCourse2026</title><revhistory><revision><revnumber>2</revnumber><date>2026-07-09 08:39:37</date><authorinitials>PeterWatson</authorinitials></revision><revision><revnumber>1</revnumber><date>2026-05-07 08:33:11</date><authorinitials>PeterWatson</authorinitials></revision></revhistory></articleinfo><section><title>Statistical Methods for Cognitive Psychologists</title><section><title>Michaelmas 2026</title><itemizedlist><listitem><para><emphasis role="strong">Level</emphasis> </para><itemizedlist><listitem><para>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. </para></listitem></itemizedlist></listitem><listitem><para><emphasis role="strong">Style</emphasis> </para><itemizedlist><listitem><para>The presentation will be as fairly formal lectures, each aiming </para><itemizedlist><listitem><para>to outline a particular class of methods </para></listitem><listitem><para>to give examples of it being applied to realistic situations </para></listitem><listitem><para>to indicate how to implement it using software available at CBU </para></listitem></itemizedlist></listitem></itemizedlist></listitem><listitem><para><emphasis role="strong">Location</emphasis> </para><itemizedlist><listitem><para>All Lectures will take place on <emphasis role="strong">Thursdays</emphasis> <emphasis role="strong">from 11 am till 12 noon</emphasis> in the lecture theatre at the MRC Cognition and Brain Sciences Unit and are being given by <ulink url="https://lsr-wiki-02.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2026/statswiki/PeterWatson#">PeterWatson</ulink> who will welcome any feedback.  </para></listitem></itemizedlist></listitem></itemizedlist><para><emphasis>Links to <emphasis role="strong">updated</emphasis> PowerPoint and PDF files of the lecture notes are being added</emphasis> <emphasis>during the progress of the course</emphasis> and may be downloaded to your desktop.  </para><itemizedlist><listitem><para>A synopsis of the lectures is <ulink url="https://lsr-wiki-02.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2026/statswiki/Synopsis2008#">here</ulink>. </para></listitem><listitem><para>Lecture notes from last year's course are available <ulink url="https://lsr-wiki-02.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2026/statswiki/StatsCourse2024#">here</ulink>. Zoom links featuring recordings from these talks in 2021 are <ulink url="https://lsr-wiki-02.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2026/statswiki/StatsCourse2021/recordings#">here</ulink>. </para></listitem></itemizedlist><para>Talk slides will be added below as we go through the course.  </para><itemizedlist><listitem><para>You can complete a survey on a particular talk <ulink url="https://www.surveymonkey.com/r/ZCXQT36">here.</ulink> </para></listitem></itemizedlist><informaltable><tgroup cols="2"><colspec colname="col_0"/><colspec colname="col_1"/><tbody><row rowsep="1"><entry colsep="1" rowsep="1"><para><emphasis role="strong">Date</emphasis> </para></entry><entry colsep="1" rowsep="1"><para><emphasis role="strong">Topic</emphasis> </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>08-Oct-26 </para></entry><entry colsep="1" rowsep="1"><para> <ulink url="https://lsr-wiki-02.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2026/statswiki/StatsCourse2026?action=AttachFile&amp;do=get&amp;target=EAD26.zip">Exploratory Data Analysis</ulink>  </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>15-Oct-26 </para></entry><entry colsep="1" rowsep="1"><para> Simple and multiple linear regression  </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>22-Oct-26 </para></entry><entry colsep="1" rowsep="1"><para> The General Linear Model and complex designs including Analysis of Covariance  </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>29-Oct-26 </para></entry><entry colsep="1" rowsep="1"><para>  Categorical Data Analysis  </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>05-Nov-26 </para></entry><entry colsep="1" rowsep="1"><para>  ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies   </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>12-Nov-26 </para></entry><entry colsep="1" rowsep="1"><para>  Repeated Measures and Mixed Model ANOVA  </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>19-Nov-26 </para></entry><entry colsep="1" rowsep="1"><para>  Post-hoc tests, multiple comparisons, contrasts and handling interactions  </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>26-Nov-26 </para></entry><entry colsep="1" rowsep="1"><para>  Power analysis </para></entry></row><row rowsep="1"><entry colsep="1" rowsep="1"><para>03-Dec-26 </para></entry><entry colsep="1" rowsep="1"><para>  Analysis of Longitudinal data </para></entry></row></tbody></tgroup></informaltable></section></section></article>