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David Henry Peterzell, Ph.D. - Fielding Graduate University. Los Angeles, CA, US

David Henry Peterzell, Ph.D. David Henry Peterzell, Ph.D.

Associate Faculty - Clinical Psychology | Fielding Graduate University

Los Angeles, CA, UNITED STATES

Cognitive Neuroscience; Perceptual, Cognitive, Behavioral, and Developmental Psychology; Clinical Psychology; and Clinical Social Science

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John F. Kennedy University Top Minds |  Professor David Peterzell, PhD FACTOR ANALYSIS - Basic Introduction, Easy, Intuitive, DAVID PETERZELL, Cracking Sensory Codes Using Individual Differences David Peterzell, Vision Sciences Society Talk, 2020  (Soon after my eye surgery!) Vision Sciences Society, 2020 Anke Marit Albers et al. (Soon after my eye surgery -DHP)

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Biography

My first broad, general line of research includes human visual perception, with emphases on development and aging, cognition, and non-invasive cognitive neuroscience. I am probably best known for my research using visual individual differences and computational factor-analytic approaches to study visual-perceptual processes involved in cognition and development.

My second broad, general line of research includes, with clinical psychology and other graduate students, a range of clinical, social, multicultural, biomedical, and social-justice-related research.

Research at the interface of these two broad areas has included topics such as: (1) mirror visual feedback and cognitive therapy for phantom limb pain and hemiparesis (2) psychotherapy and rehabilitation in virtual environments; perceptual factors in
mindfulness, yoga, and somatic therapies; and (4) factors that reduce visual implicit racial bias and improve signal detection accuracy in high stakes situations, such as decisions to shoot, jury decisions, and medical decisions. These include mindfulness-based practices and other cognitive/affective interventions in reducing implicit visual racial bias.

My research and scholarly publications have employed a wide range of quantitative designs (and some qualitative designs), including but not limited to: one sample, ≥ 2 independent samples, ≥ 2 repeated measures samples, factorial designs (i.e., ≥2 x & ≥2 between- and within-subjects, and mixed), correlational designs (used for regression, multiple regression, factor analysis, etc.), and designs used for case studies. My research and publications have employed a wide range of statistics as well, including a wide range
of parametric and non-parametric statistics.

I am currently writing a book titled “Statistics Without Statistics” which uses data visualization to introduce students to a wide variety of research designs and statistical procedures. It covers what psychologists need to evaluate ‘evidence based’ clinical psychology, especially including topics that are very likely to appear on clinical psychology (EPPP) licensing exams.

Recently, I have taught graduate courses on research methods and statistics, and on the cognitive and affective bases of behavior.

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Health and Wellness

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Areas of Expertise (15)

Research Designs and Methods

Individual Differences and Factor Analytic Modeling

Data Visualization and Statistics

Multivariate Statistics

Quantitative Data Analysis

Cognitive and Affective Bases of Behavior

Cognitive Science

Sensation and Perception‎

Cognitive Neuroscience

Cognitive and Behavioral Therapies

Electronic Media Applications in Clinical Psychology

Implicit Race, Gender and Age Biases and Stereotype Threat

Pain Therapies

Complementary and Alternative Medicine

Integral/Integrative Psychology

Accomplishments (1)

Licensed Clinical Psychologist, California (professional)

PSY19123

Education (4)

Alliant International University/CSPP, San Diego: PhD, Doctoral Respecialization in Clinical Psychology 2001

University of Colorado, Boulder: PhD, Cognitive Psychology with an emphasis on Visual and Cognitive Information Processing, and Cognitive Neuroscience 1991

University of Colorado, Boulder: MA, Cognitive Psychology 1988

University of California, Berkeley: BA, Psychology 1983

Affiliations (10)

  • Association for Psychological Science : Member
  • Association for Behavioral and Cognitive Therapies : Member
  • Cognitive Neuroscience Society : Member
  • European Conference on Visual Perception : Member
  • International Association for Cognitive Psychotherapy : Member
  • International Colour Vision Society : Member
  • Psychonomics Society : Member
  • San Diego Psychoanalytic Society : Friend
  • San Diego Psychological Association : Member
  • Vision Sciences Society : Member

Articles (4)

Fundamentally different perceptual representations of hue and motion revealed by individual differences in perceptual scaling

Proceedings of the National Academy of Sciences (PNAS)

2022

Recovery of vivid 3D percepts from 125 years of historical motion film and animation clips

Journal of Vision

2021 Stereoscopy involves presenting two differentially-offset images separately to left and right eyes. This 2D image information is combined binocularly in the brain to generate 3D depth perception. We introduce the ability to recover and perceive dynamic 3D structure from certain 2D moving pictures, along with advantages of the method. Stereoscopic pairs and film sequences were generated from a wide variety of lateral tracking scenes, including: 1) dolly shots, especially 360 deg dolly arc shots, 2) lateral shots taken while driving, flying, boating, and traveling by rail, 3) ‘bullet time’ time sequence shots, e.g. from ‘The Matrix’, and 4) animations based on 3D models.

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In search of early cortical mechanisms for color: Individual variability in steady-state VEP amplitudes for hues sweeping around the isoluminant LM and S cone-opponent plane

Journal of Vision

2021

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Are light and dark blue used as separate basic color categories in English?: A corpus linguistics approach to studying visual perception

Journal of Vision

2020 Although people perceive countless different colors, they typically use 11 discrete ‘basic’ or ‘universal’ terms to categorize hues. However, multiple languages (e.g. Russian, Greek, Italian, Lithuanian; Bimler & Uusküla, 2014, 2017; Paramei, 2005, 2007) use different terms for different blues, suggesting additional basic-level distinctions (e.g., Italian: blu, azzurro, celeste). Experiments show no such distinction for blue in English (Uusküla & Bimler, 2016), but perhaps speakers use the words ‘light’ and ‘dark’ (and other specifiers) with ‘blue’ far more frequently than with other basic colors, thus identifying multiple blues in practice.

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