An exploratory factor analysis of visual performance in a large population

ABSTRACT A factor analysis was performed on 25 visual and auditory performance measures from 1060 participants. The results revealed evidence both for a factor relating to general perceptual performance, and for eight independent factors that relate to particular perceptual skills. In an unrotated PCA, the general factor for perceptual performance accounted for 19.9% of the total variance in the 25 performance measures. Following varimax rotation, 8 consistent factors were identified, which appear to relate to (1) sensitivity to medium and high spatial frequencies, (2) auditory perceptual ability (3) oculomotor speed, (4) oculomotor control, (5) contrast sensitivity at low spatial frequencies, (6) stereo acuity, (7) letter recognition, and (8) flicker sensitivity. The results of a hierarchical cluster analysis were consistent with our rotated factor solution. We also report correlations between the eight performance factors and other (non‐performance) measures of perception, demographic and anatomical measures, and questionnaire items probing other psychological variables.

[1]  Amy S. Beavers,et al.  Practical Considerations for Using Exploratory Factor Analysis in Educational Research. , 2013 .

[2]  Ruth E. Hogg,et al.  Individual differences in human eye movements: An oculomotor signature? , 2017, Vision Research.

[3]  C. Spearman,et al.  "THE ABILITIES OF MAN". , 1928, Science.

[4]  Hivatalos Lapja,et al.  LXI , 2018, Out of the Shadow.

[5]  David H. Peterzell,et al.  What covariance mechanisms underlie green/red equiluminance, luminance contrast sensitivity and chromatic (green/red) contrast sensitivity? , 2000, Vision Research.

[6]  Markus Lappe,et al.  Influence of optic flow on the control of walking toward a goal , 2014 .

[7]  A. Watson,et al.  Quest: A Bayesian adaptive psychometric method , 1983, Perception & psychophysics.

[8]  A factorial study of closure. , 1954, Canadian journal of psychology.

[9]  J. Nathans,et al.  Molecular genetics of inherited variation in human color vision. , 1986, Science.

[10]  I. Murray,et al.  A new desktop instrument for measuring macular pigment optical density based on a novel technique for setting flicker thresholds , 2009, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[11]  Geraint Rees,et al.  Variability in visual cortex size reflects tradeoff between local orientation sensitivity and global orientation modulation , 2013, Nature Communications.

[12]  Brian Gygi,et al.  Individual differences in auditory abilities. , 2007, The Journal of the Acoustical Society of America.

[13]  Patrick T. Goodbourn,et al.  A population study of binocular function , 2015, Vision Research.

[14]  K. Dobkins,et al.  Independence of mechanisms tuned along cardinal and non-cardinal axes of color space: evidence from factor analysis , 2003, Vision Research.

[15]  Patrick T. Goodbourn,et al.  Individual differences provide psychophysical evidence for separate on- and off-pathways deriving from short-wave cones. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[16]  Richard E. Lucas,et al.  The mini-IPIP scales: tiny-yet-effective measures of the Big Five factors of personality. , 2006, Psychological assessment.

[17]  J. Winderickx,et al.  Polymorphism in red photopigment underlies variation in colour matching , 1992, Nature.

[18]  Brian Gygi,et al.  Individual differences in auditory abilities among normal-hearing listeners , 2000 .

[19]  K. Vehkalahti Foundations of Factor Analysis, Second Edition by Stanley A. Mulaik , 2010 .

[20]  R. C. Durfee,et al.  MULTIPLE FACTOR ANALYSIS. , 1967 .

[21]  F. N. Jones A factor analysis of visibility data. , 1948, The American journal of psychology.

[22]  Max F. Meyer,et al.  The Proof and Measurement of Association between Two Things. , 1904 .

[23]  D. Foster,et al.  Model-free estimation of the psychometric function , 2009, Attention, perception & psychophysics.

[24]  Patrick T. Goodbourn,et al.  An online version of the Mooney Face Test: phenotypic and genetic associations , 2014, Neuropsychologia.

[25]  Patrick T. Goodbourn,et al.  Variants in the 1q21 risk region are associated with a visual endophenotype of autism and schizophrenia , 2014, Genes, brain, and behavior.

[26]  J. E. Karlin,et al.  A factorial study of auditory function , 1942 .

[27]  M. Browne An Overview of Analytic Rotation in Exploratory Factor Analysis , 2001 .

[28]  R. M. Boynton,et al.  Chromaticity diagram showing cone excitation by stimuli of equal luminance. , 1979, Journal of the Optical Society of America.

[29]  W. Barr,et al.  Facial closure: interrelationship with facial discrimination, other closure tests, and subjective contour illusions , 2004, Neuropsychologia.

[30]  Die Grundempfindungen in normalen und anomalen Farbensystemen und ihre Intensitätsverteihung im Spektrum , 1892 .

[31]  Patrick T. Goodbourn,et al.  Do different ‘magnocellular tasks’ probe the same neural substrate? , 2012, Proceedings of the Royal Society B: Biological Sciences.

[32]  J. Wilmer How to use individual differences to isolate functional organization, biology, and utility of visual functions; with illustrative proposals for stereopsis. , 2008, Spatial Vision.

[33]  L. Thurstone A factorial study of perception , 1944 .

[34]  Jones Fn A factor analysis of visibility data. , 1948 .

[35]  Jones Fn,et al.  A second factor analysis of visibility data. , 1950 .

[36]  G. Rees,et al.  The structural basis of inter-individual differences in human behaviour and cognition , 2011, Nature Reviews Neuroscience.

[37]  M. Quetelet,et al.  XLII. On atmospheric electricity, especially in 1849 , 1851 .

[38]  J. Lawrence,et al.  Pupil size and critical flicker fusion threshold: A reevaluation , 1982 .

[39]  D. Purves,et al.  Interindividual Variation in Human Visual Performance , 1999, Journal of Cognitive Neuroscience.

[40]  Matthew Courtney,et al.  Determining the Number of Factors to Retain in EFA: Using the SPSS R-Menu v2 0 to Make More Judicious Estimations , 2013 .

[41]  A. Phillips The macmillan company. , 1970, Analytical chemistry.

[42]  M. H. Jones.,et al.  A second factor analysis of visibility data. , 1950, The American journal of psychology.

[43]  J. IJspeert,et al.  Dependence of intraocular straylight on pigmentation and light transmission through the ocular wall , 1991, Vision Research.

[44]  J. L. Howard,et al.  Repeated acquisition of three‐response chains for food reinforcement in the rat , 1981 .

[45]  Denis G. Pelli,et al.  THE DESIGN OF A NEW LETTER CHART FOR MEASURING CONTRAST SENSITIVITY , 1988 .

[46]  N. Carey,et al.  FACTORS IN THE MENTAL PROCESSES OF SCHOOL CHILDREN1: II. ON THE NATURE OF THE SPECIFIC MENTAL FACTORS2 , 1915 .

[47]  P. Aspinall Some methodological problems in testing visual function. , 1974, Modern problems in ophthalmology.

[48]  Billy R Wooten,et al.  CFF thresholds: relation to macular pigment optical density , 2005, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[49]  S. Baron-Cohen,et al.  The Autism-Spectrum Quotient (AQ): Evidence from Asperger Syndrome/High-Functioning Autism, Malesand Females, Scientists and Mathematicians , 2001, Journal of autism and developmental disorders.

[50]  Aspinall Pa,et al.  Some methodological problems in testing visual function. , 1974 .

[51]  Lawrie S. McKay,et al.  Vision in autism spectrum disorders , 2009, Vision Research.

[52]  D. Teller,et al.  Individual Differences in Contrast Sensitivity Functions: The Lowest Spatial Frequency Channels , 1996, Vision Research.

[53]  M. Herzog,et al.  Is there a common factor for vision? , 2014, Journal of vision.

[54]  Jenny M. Bosten,et al.  General and specific factors in the processing of faces , 2017, Vision Research.

[55]  I. Deary,et al.  Intelligence and educational achievement , 2007 .

[56]  C. Spearman The proof and measurement of association between two things. , 2015, International journal of epidemiology.

[57]  Wm. R. Wright General Intelligence, Objectively Determined and Measured. , 1905 .

[58]  S. Mulaik Foundations of Factor Analysis , 1975 .

[59]  Muriel Walshe,et al.  Eye tracking in schizophrenia: Does the antisaccade task measure anything that the smooth pursuit task does not? , 2005, Psychiatry Research.

[60]  Mooney Cm A factorial study of closure. , 1954 .

[61]  D. Diener A factor analytic study of hue discrimination , 1985, Perception & psychophysics.

[62]  Patrick T. Goodbourn,et al.  Genetic association suggests that SMOC1 mediates between prenatal sex hormones and digit ratio , 2012, Human Genetics.

[63]  Patrick T. Goodbourn,et al.  Suggestive association with ocular phoria at chromosome 6p22. , 2014, Investigative ophthalmology & visual science.

[64]  David H. Peterzell,et al.  Spatial frequency tuned covariance channels for red–green and luminance-modulated gratings: psychophysical data from human infants , 2000, Vision Research.

[65]  R. Kanai,et al.  The structure of inter-individual differences in visual ability: Evidence from the general population and synaesthesia , 2017, Vision Research.

[66]  L. A. N. Esq.,et al.  LXI. Observations on some remarkable optical phænomena seen in Switzerland; and on an optical phænomenon which occurs on viewing a figure of a crystal or geometrical solid , 1832 .

[67]  David H. Peterzell,et al.  Discovering Sensory Processes Using Individual Differences: A Review and Factor Analytic Manifesto , 2016, HVEI.

[68]  Anne Strauss,et al.  Iq And Human Intelligence , 2016 .

[69]  P. King-Smith,et al.  Efficient and unbiased modifications of the QUEST threshold method: Theory, simulations, experimental evaluation and practical implementation , 1994, Vision Research.

[70]  N. Carey,et al.  FACTORS IN THE MENTAL PROCESSES OF SCHOOL CHILDREN1 , 1916 .

[71]  R. A. Mcfarland,et al.  Alterations in critical flicker frequency as a function of age and light: dark ratio. , 1958, Journal of experimental psychology.

[72]  C. Burt Experimental Tests of General Intelligence. , 1909 .

[73]  Robert O. Duncan,et al.  Cortical Magnification within Human Primary Visual Cortex Correlates with Acuity Thresholds , 2003, Neuron.

[74]  A Modified Interpretation of Thurstone's Flexibility of Closure Factor , 1956 .

[75]  R. Beard THE STRUCTURE OF PERCEPTION: A FACTORIAL STUDY. , 1965, The British journal of educational psychology.

[76]  D. Samuel Schwarzkopf,et al.  The surface area of human V1 predicts the subjective experience of object size , 2010, Nature Neuroscience.

[77]  Patrick T. Goodbourn,et al.  Counterphase modulation flicker photometry: phenotypic and genotypic associations. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.