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Training in Quantitative Psychology
Students at USC can study Quantitative Psychology in either the Clinical/Community or Experimental PhD programs.
Students in either program are required to complete all the requirements of that program in conjunction with
quantitative courses. The Clinical/Community program includes fewer elective courses and requires practicum and internship,
the Experimental program allows much greater flexibility in tailoring a curriculum which matches the quantitative interests
of the student. Perspective students should contact the faculty member(s) they are interested in working with to discuss the best option.
Faculty acccepting students for the 2010-2011 Academic Year include:
Amanda Fairchild
Svetlana Shinkareva
M. Lee Van Horn
Douglas Wedell
Typical Curriculum for students specializing in Quantitative Psychology
within the Experimental Program:
Experimental Psychology Ph.D. Curriculum
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Basic Methods (Both courses - 6 credits)
PSYC 709 - Basic Quantitative Methods I
PSYC 710 - Basic Quantitative Methods II
Advanced Methods (One course - 3 credits)
PSYC 821 - Psychological Measurement
PSYC 823 - Multivariate Analysis
PSYC 824 - Seminar in Quantitative Psychology
Foundation Courses (Six modules - 12 credits)
PSYC 702A - Basics in neuroscience
PSYC 702B - Basics in cognitive psychology
PSYC 702C - Basics in developmental psychology
PSYC 702D - Basics in learning and motivation
PSYC 703A - Integration across cognitive
psychology and neuroscience
PSYC 703B - Integration across developmental
psychology, cognitive psychology
and neuroscience
PSYC 703C - Integration across developmental
and cognitive psychology
PSYC 703D - Integration across areas of
psychology
Ethics Courses (Both courses - 2 credits)
PSYC 792A - Issues and ethics in research
and teaching in psychology
PSYC 792B - Issues and ethics in research
and teaching in psychology
Elective Courses (13 credits)
Quantitative Offerings in 2008-2009 Include:
PSYC 824 - Computational Methods in Psychology
PSYC 824 - Mediation and Moderation
PSYC 824 - Longitudinal Data Analysis
PSYC 824 - Advanced Methods in Analysis of
Neuroimaging Data
STAT 530 - Applied Multivariate Statistics
Complementary Course Work (12 credits)
Dissertation Research Credits (12 credits)
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Notes for the Quantitative Area of Study
Quantitative students will typically take both of PSYC 821 and 823 (or equivalent courses)
to cover the fundamental areas of measurement and multivariate statististics. PSYC 824 is offered
with a variety of topics and is often taken as an elective.
Taking six of these two hour modules provides a solid background in several substantive areas of psychology,
providing the needed training to interact with your non-quantitative colleagues.
Having used both PSYC 821 and 823 above, an additional 22 credit hours (typically 8 classes) of electives and
complementary course work are required. These courses will often include electives from a variety of departments around campus.
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Elective and Complementary Course Work
Current research topics in quantitative psychology are regularly taught through PSYC 824 (Seminar in Quantitative Psychology) and PSYC 888 (Selected Topics in Psychology).
These variable-offerings courses can be repeated for credit under different topics. Recent offerings have included:
- Advanced Methods in Analysis of Neuroimaging Data
- Longitudinal Data Analysis
- Mediation and Moderation
- Structural Equations Modeling
In addition, up to six hours of PSYC 889 (Independent Advanced Research) with your advisor may be counted towards your elective credit.
It is also recommended for students who have completed calculus to take the three foundational courses in statistics. (A refresher calculus course is available for elective credit if needed).
These courses cover the technical background necessary to stay abreast of the most recent methods in the literature.
- STAT 702 and 703 – Introduction to Statistical Theory I and II
- STAT 740 – Statistical Computing
Students who wish to be more mathematical may also elect the STAT 712/713 statistical theory sequence (usually taken by M.S. and Ph.D. students in Statistics) instead of STAT 702/703.
This opens up several additional electives typically restricted to students in that department.
A variety of other electives are regularly taken in departments across campus, including Statistics (STAT), Biostatistics (BIOS), and Educational Research and Measurement (EDRM).
These include courses in both classical quantitative areas (such as item response theory and structural equations modeling) as well as in more general statistical methods
(such as experimental design and nonparemteric methods).
- BIOS 754 – Discrete Data Analysis
- BIOS 825 – Multivariate Biostatistics
- EDRM 712 – Nonparametric Statistics
- EDRM 724 – Design and Analysis of Educational Surveys
- EDRM 728 – Technical Aspects of Tests and Measurements
- EDRM 789 – Principles and Applications of Structural Equations Modeling
- EDRM 812 – Hierarchical Linear Modeling
- STAT 506 – Introduction to Experimental Design
- STAT 517 – Computing in Statistics
- STAT 518 - Nonparametric Statistical Methods
- STAT 530 – Applied Multivariate Statistics
- STAT 770/BIOS 805 – Categorical Data Analysis
- STAT 771/BIOS 770 – Applied Longitudinal Data Analysis
- STAT 775/BIOS 815 – Generalized Linear Models
- STAT 778/EDRM 828 – Item Response Theory
- STAT 790 – Seminar in Statistical Consulting
- STAT 791 – Practicum in Statistical Consulting
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