OHIO STATE UNIVERSITY
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Title: Cognitive/Experimental and/or Quantitative Psychology with emphasis on Human Factors (PhD)
Granted last 3 years: MA 2, PhD 0
Distance learning available: no
HFES student chapter: yes
Program: Training provided in fundamental research skills and in the areas of attention, memory, perception, motor skills, problem solving, decision theory, psychometrics, computerized adaptive testing, and mathematical modeling. Applied courses and field experiences help relate these basic areas to human factors engineering in aviation, computer science, and other applied problems. Experience in college teaching is an option, as are applied internships. Course structure is flexible with ample opportunity for interdisciplinary studies (industrial engineering, aviation, computer science, cognitive science, and others).
Contact: Richard Jagacinski, Ohio State University, Department of Psychology, 225 Psychology Building, Columbus, OH 43210; 614/292-1870; email@example.com or http://www.psy.ohio-state.edu (click on People, Faculty)
Catalog: (free) http://www.osu.edu
Deadline: 12/29 (domestic) and 11/30 (international)
Fee: $40 domestic, $50 foreign applicants. Separate applications required for university and department.
GRE: 1250 v + q
Other: Bachelor's degree in psychology, engineering, mathematics, computer science, statistics, or other science (rec).
Work experience: medium
Students applying last year: 4
Entered program: 0
TUITION AND FEES:
% receiving: 100
Available: fellowships, TA, RA, all tuition exempt
Apply: with application by 12/29 (domestic) or 11/30 (international)
MA: 45 units, oral thesis, no languages or practical experience, thesis, 2 years
Nonthesis option: no
PhD: 135 units, general exams and oral dissertation, no languages or practical experience, dissertation and one additional research project, 6 years
Required courses (units): Statistics (12), Mathematical Models in Experimental Psychology (4). If enrolled in the Cognitive Program: Psychology of Listening and Reading (3), Visual Perception (3) or High-Level Vision (4), Psycholinguistics (5), Attention and Performance (5), Human Performance Theory (4), Human Learning (4). If enrolled in the Quantitative Program: History of Psychology (3), Mathematical Psychology (3), Seminars in Psychological Statistics.
Electives: Cognitive Engineering (3), Cognitive Psychology (4), Complex Information Processing in Cognition (3), Mathematical Models of Measurement (4), Mathematical Models of Decision Making (2), Psychology of Judgment and Decision Making (5), Human-Computer Interaction (3), Survey of Artificial Intelligence (3), Introduction to Cognitive Science (3), Aviation Human Factors (3)
Required courses outside department: 0
Recommended courses outside department: 3
Class size: 10
Research facilities: The Psychology Department provides computerized research facilities for studies of evoked potentials, cardiovascular psychophysiology, manual control systems, decision making, visual information processing, and workload measurement.
Teaching: Students may apply to teach introductory psychology or assist in other courses, such as statistics.
Current research: Research projects include mathematical models of decision making under uncertainty, risk, or high workload; biases in likelihood estimation; assessment of individual differences in decision styles; multidimensional measurement models; computerized adaptive testing; attention and memory; psychophysiology; event-related potentials as measures of attention and cognition; visual search; perceptual learning; perceptual motor coordination; neural network models; cognitive architectures.
Active: 2 men, 0 women
First-year students: 0
Michael Edwards, PhD 2005, U North Carolina at Chapel Hill; multidimensional item response theory, computerized adaptive testing, factor analysis
Richard Jagacinski, PhD 1973, U Michigan; perceptual-motor skills, aging, decision making, control theory
Thomas Nygren, PhD 1975, U Illinois; workload measurement, decision making under uncertainty or stress, scaling theory
Alex Petrov, PhD 1998, New Bulgarian U; perceptual learning; cognitive architectures
Roger Ratcliff, PhD 1974, U Auckland; mathematical modeling of cognitive processes; simple decisions and reaction time; memory models; aging; neural modeling
Harvey Shulman, PhD 1969, U Michigan; memory, attention, and workload; psychophysiology and neuropsychology
Trisha Van Zandt, PhD 1992, Purdue U; mathematical modeling of cognitive processes; development of statistical methods for analysis of behavioral data
[Updated Winter 2007]