Course Syllabus
PSRT6015 General Linear Model
Kenneth J. Gill, Ph.D.
908-566-8806
Course Description:
The course is intended to provide students of the techniques of the general linear hypothesis as applied to humans ervices, counseling, and psychiatric rehabilitation. The courses will cover the types of problems they address including their basic assumptions, computer executions of these techniques. This is the second in the series of three courses: 1) Statistics; 2) General linear model; 3) Multivariate Statistics.
Credits/Modes of Instruction: This is a 3-credit course consisting of lectures, discussion, data analysis and computer activities.
Prerequisites: introductory graduate statistics course, equivalent, or permission of the instructor.
Goals:
1. Develop an understanding of the types of methodological challenges that are addressed by the general linear model
2. Comprehension of the general linear hypothesis, its various applications, and its limitations.
3. Develop the prerequisites to understanding the application of multivariate techniques to research questions in psychiatric rehabilitation and related fields.
4. Knowledge of appropriate statistical computer package (e.g. SPSS) to manage data and execute analyses.
5. Understand linear effect size and its application to power analysis
Objectives:
1. Knowledge of assumptions of linear statistical techniques including correlation, simple regression, multiple regression, ANOVA, 2-way ANOVA, and analysis of covariance (ANCOVA)
2. Ability to apply appropriate techniques to a given research problem or question.
3. Competence in designing empirical projects with appropriate measurements.
4. Competence in designing actual data sets for these applications.
5. Ability to run appropriate computer routines and interpret printout.
6. Competence in interpreting statistical findings based on design and technique.
7. Acquired the skills to explain verbally and in writing explain findings to both “sophisticated” and naive audiences, that is other professionals not versed in statistics
Texts and Materials
Books:
Field A. (2016) Discovering Statistics using SPSS. 5th edition, New York: Sage.
Wheelan, C. (2013) Naked Statistics: Stripping the Dread from the Data. New York. W. W. Norton & Company. ISBN 978-0-393-08982-0 (e-book) ISBN 978-0-393-34777-7.
Software:
SPSS for Windows or MAC SPSS software available for purchase at one of these two website and be purchased at Rutgers Software site. https://software.rutgers.edu/tags/browse/?tag=175#
G-Power (Freeware/Shareware for power analysis) One site that has it: https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower
On-line Matrix Calculator, anyone will do https://matrixcalc.org/en/
Requirements
Topics
1. What is the General Linear Model?
2. Important prerequisites - descriptive statistics, correlation, scatter plots, Type I and Type 2 error, types of numbers,
3. Correlation/Simple Regression
4. Multiple Regression
5, ANOVA
6. ANCOVA
7. Two-way ANOVA
8. repeated Measures
9. Advanced Topics - (time permitting) ) Cox regression, Survival analsyis.
Requirements
1) Pre-test (5%: all or nothing)
2) Course attendance in lecture and recitation
3) Homework (15%)
4) Midterm (20%)
5) Written presentation of Two Examples of the Application of techniques from literature (20%)
6) Final exam (40%)
Additional notes
Videoconferencing etiquette - Set up where you can pay attention and focus. Keep your camera on. Physically raining your hand or using icon is fine. Gentle verbal interruption is ok, try not to dominate any discussions.
Mondays will be new lecture material. assignment of reading and and homework. Monday night to Wednesday evening: preliminary try at home work, to be able to discuss at Wednesday night session. Final homework due next Monday and will be returned by that Wednesday.
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Course Summary:
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