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COURSE SYLLABUS

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Psychology 594

Multivariate Analysis in Psychology
and Education

Fall, 2013



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 Instructor: \hspace{20ex} &  Teaching Assistant: \\
Lawrence Hubert &  Justin Kern\\
433 Psychology Building & 418 Psychology Building \\
 & \\
Office Hours: Wednesday 2--4 & TBA \\
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\noindent Lectures: Wednesday and Friday 12-2

\hspace{6ex} 29 Psychology Building

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Course material is placed at:

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\url{http://cda.psych.uiuc.edu/multivariate_fall_2013}

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Additional sessions:

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a)  randomization tests (for neuroscience applications in particular)

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See: Thomas E. Nichols and Andrew P. Holmes, Nonparametric Permutation Tests for Functional Neuroimaging: A Primer with Examples, Human Brain Mapping, 2001, 15, 1--25

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b) Truman Lee Kelley talk plus handout

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Four Chapters from: A Statistical Guide for the Ethically Perplexed, Lawrence Hubert and Howard Wainer, Chapman \& Hall, 2013

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1) Correlation (Chapter 5)

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2) Prediction (Chapter 6)

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3)  Basic Sampling Model (Chapter 7)

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4) Simpson's Paradox (Chapter 12) [for multivariate categorical data]



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\underline{Tentative Topic Sequence}:

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\hspace{5ex} \emph{topic} &  \emph{reading} \\

I. Introduction/Matrix Algebra & Matrix Algebra Notes \\ [1ex]


II. Matlab Introduction &  Matlab Primer (online) \\
 &  Slide Handouts \\ [1ex]

III. Random Vectors/Matrices, Linear &  \\
Combinations, Random Sampling &  Handout Notes\\ [1ex]

IV. Multivariate Normal Distributions & Handout Notes  \\ [1ex]


V. Principal Components & Handout Notes  \\ [1ex]



VI. Factor Analysis & Handout Notes  \\ [1ex]



VI. Canonical Correlation &  Handout Notes \\ [1ex]



VI. Discrimination/Classification & Handout Notes  \\ [1ex]

VII. Classification and Regression Trees  & Handout Notes \\ [1ex]



VIII. Clustering/Scaling & My Matlab Toolboxes \\

 Proximity Representation  &    \\ [1ex]

 Multivariate Methods with R  &  Slide Handouts \\

 (if time permits) & \\




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