The experimental graduate program currently has four areas of study: cognitive, developmental, neuroscience, quantitative/experimental.
Cognitive psychology at UNLV covers the major topics in the field, such as perception, attention, memory, higher-level cognition, and applications to other areas of psychology. Researchers examine specific topics such as auditory and visual perception, cognitive aging, face processing, language comprehension, math cognition, mental models, music perception, and signal detection. These topics are examined using traditional cognitive behavioral methods and analyses, computational modeling, eye tracking, and event-related potentials.
Faculty: Mark H. Ashcraft, David Copeland, Erin E. Hannon, Marta Meana, Colleen M. Parks, Jennifer L. Rennels, N. Clayton Silver, Joel S. Snyder
Training in developmental psychology at UNLV involves a strong emphasis on research and use of age-appropriate methods for investigating cognitive, social, and physiological development. Researchers study how early and later-life experiences affect development of language and music abilities, face processing, biases and stereotypes, identity, career paths, and substance use. Efforts are made in much of the developmental research to include members of different cultural groups.
Faculty: Erin E. Hannon, Jennifer L. Rennels, Rachael Robnett
Neuroscience within the Department of Psychology at UNLV provides interdisciplinary training for research on the neural basis of behavior. Faculty research includes approaches from neuropsychology, cognitive neuroscience, behavioral neuroscience, and psychopharmacology. Faculty members in the department are also a part of a growing network of neuroscience researchers within UNLV and the Las Vegas area.
Faculty: Daniel N. Allen, Dustin Hines, Rochelle Hines, James Hyman, Jefferson W. Kinney, Joel S. Snyder
Psychological research uses a wide variety of data-collection and data-analysis techniques. The faculty members in the quantitative/experimental area provide courses and individual mentoring in advanced data-collection techniques and qualitative and quantitative analyses. Some researchers also conduct and mentor research in the development of new data analysis and data-collection techniques.
Faculty: Daniel N. Allen, Kimberly Barchard, Russell T. Hurlburt, Jefferson W. Kinney, Murray Millar, N. Clayton Silver