FOR 6530 Winter 2003

Alliant International University

Research II: Data Analysis & Advanced Statistics

http://www.stat.ucla.edu/~dinov/courses_students.html

AIU, California School of Professional Psychology, Division of Forensic Psychology

Instructor:
Ivo D. Dinov, Ph.D.
Assistant Professor of Statistics,
Research Scientist, Department of Neurology,
UCLA School of Medicine
E-mail:

Teaching Assistants:

TBA (for now) E-mail: TBA@stat.ucla.edu

Brief Description:

This will be a modern graduate course in statistics for forensic psychology students. We will present the most popular statistical tools for data analysis and support these with an elaborate framework of simulations, applets, compute-resourses, movies and real-time Internet tools. A number of course projects (papers) will help the students gain a hands-on experience on design of scientific experiments, data acquisition, processing, integration, statistical analysis and presentation.

Lectures:

Place TBA, Saturdays 9:00 AM - 12:00 Noon

Discussions Section Information
Section ID	Section	Classroom	Time	TA Name
663306200	1	No discussion	but Stat Computer Lab may be used for projects	None

Instructor Office: Main: UCLA, MS 8143E, or after class on Saturdays
TA Offices: None
Virtual Office Hours (FOR 6530 Forum)
AIU Computer Lab: TBA

Office Hours

Dr. Dinov: by arrangement
TA's: None.
VOH/Forum 24/7

Grading policy and basis for Final Grade:

Tentative schedule of examinations:

Midterm: Sat., Mar. 08, 2002.
Final: Sat., May 03, 2002. (but we can make it a take-home project if we agree on the terms).

Project Assignment Policy:

Textbooks: Statistical Methods for Psychology, by David C. Howell, Duxbury Press, 5^th edition, 2001.

Tentative order of topics covered

Review of Research Design I , Fall 2002:

Data Visualization/Summaries
Measures of Central Tendency and Variability
Normal Distribution, Z-scores, Normal-Standardization
Probability, Samples & Sampling error
Hypothesis testing - One vs. Two dependent/independent samples tests
Type I and Type II errors; Power of a test
Bivariate relations: Correlation and Regression
Distribution free - Non-parametric - statistical tests

Applications of Central Limit Theorem, Law of Large Numbers.
Design of studies and experiments.
Fisher's F-Test & Analysis Of Variance (ANOVA, 1- or 2-way).
Principle Component Analysis (PCA).
χ² (Chi-Square) Goodness-of-fit test.
Multiple linear regression
General Linear Model
Bootstrapping and Resampling

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Ivo D. Dinov, Ph.D., Departments of Statistics and Neurology, UCLA School of Medicine