The Role of Visuospatial Ability in the Raven’s Progressive Matrices

Debate surrounding the role of visuospatial ability in performance on the Raven’s Progressive Matrices (RPM) has existed since their conception. This issue has yet to be adequately resolved, and may have implications regarding sex differences in scores. Therefore, this study aimed to examine the relationship between RPM performance, visuospatial ability and fluid ability, and any sex differences in these relationships. Data were obtained from three samples: two University samples completed the Advanced RPM and one population-based sample of men completed the Standard RPM. All samples additionally completed an alternative measure of fluid ability, and one or more measures of visuospatial ability. Structural equation modeling was used to examine the relationships between performance on the visuospatial and fluid ability tests and performance on the RPM. Visuospatial ability was found to significantly contribute to performance on the RPM, over and above fluid ability, supporting the contention that visuospatial ability is involved in RPM performance. No sex differences were found in this relationship, although sex differences in visuospatial ability may explain sex differences in RPM scores.

[1]  Self-Concept Variables.  Sex Differences in , 2016 .

[2]  Richard E. Brown.  Hebb and Cattell: The Genesis of the Theory of Fluid and Crystallized Intelligence , 2016, Front. Hum. Neurosci..

[3]  R. Colom,et al.  Sex differences on the Progressive Matrices are influenced by sex differences on spatial ability , 2004 .

[4]  M. Linn,et al.  Emergence and characterization of sex differences in spatial ability: a meta-analysis. , 1985, Child development.

[5]  Samuel O. Ortiz,et al.  CHC Theory of Intelligence , 2015 .

[6]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[7]  T. Little,et al.  To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits , 2002 .

[8]  M. Sommer,et al.  Gender differences in figural matrices: The moderating role of item design features , 2012 .

[9]  Maithilee Kunda,et al.  A computational model for solving problems from the Raven’s Progressive Matrices intelligence test using iconic visual representations , 2013, Cognitive Systems Research.

[10]  J. Allik,et al.  Sex Differences on Three Factors Identified in Raven's Standard Progressive Matrices , 2004 .

[11]  Andreas Gold,et al.  The confirmatory investigation of APM items with loadings as a function of the position and easiness of items: A two-dimensional model of APM , 2009 .

[12]  Xuezhu Ren,et al.  How Does Attention Relate to the Ability-Specific and Position-Specific Components of Reasoning Measured by APM?. , 2012 .

[13]  A. Beauducel,et al.  Modeling the construct validity of the Berlin Intelligence Structure Model , 2015 .

[14]  K. McGrew,et al.  The Cattell-Horn-Carroll model of intelligence. , 2012 .

[15]  Jonas W. B. Lang,et al.  Hierarchies of factor solutions in the intelligence domain : applying methodology from personality psychology to gain insights into the nature of intelligence , 2016 .

[16]  N. Burns,et al.  Does IQ vary systematically with all measures of socioeconomic status in a cohort of middle-aged, and older, men? , 2012 .

[17]  Pauline Howie,et al.  Individual Differences in Decision Making Depend on Cognitive Abilities, Monitoring and Control , 2017 .

[18]  Tengfei Wang,et al.  A learning-based account of fluid intelligence from the perspective of the position effect , 2014 .

[19]  Paul Irwing,et al.  Sex differences in means and variability on the progressive matrices in university students: a meta-analysis. , 2005, British journal of psychology.

[20]  K. Schweizer,et al.  On the validity of Raven’s matrices test: Does spatial ability contribute to performance? , 2007 .

[21]  David Chan,et al.  Verbal overshadowing effects on Raven's advanced progressive matrices: Evidence for multidimensional performance determinants , 1995 .

[22]  Paul Irwing,et al.  Sex differences on the progressive matrices: A meta-analysis. , 2004 .

[23]  S. Vandenberg,et al.  Mental Rotations, a Group Test of Three-Dimensional Spatial Visualization , 1978, Perceptual and motor skills.

[24]  J. Carroll.  Human Cognitive Abilities-a sur-vey of factor-analytic studies , 1993 .

[25]  Advanced Progressive Matrices and Sex Differences: Comment to Mackintosh and Bennett (2005). , 2007 .

[26]  L. Stankov,et al.  Self-confidence and metacognitive processes , 2007 .

[27]  Lazar Stankov,et al.  Fluid and Crystallized Intelligence and Broad Perceptual Factors Among 11 to 12 Year Olds. , 1978 .

[28]  Susan D. Voyer,et al.  Magnitude of sex differences in spatial abilities: a meta-analysis and consideration of critical variables. , 1995, Psychological bulletin.

[29]  Diane F. Halpern,et al.  Improved matrix reasoning is limited to training on tasks with a visuospatial component , 2013 .

[30]  Maxwell J. Roberts,et al.  Context, visual salience, and inductive reasoning , 2000 .

[31]  George K. Bennett,et al.  Differential aptitude tests : manual , 1959 .

[32]  M. Meo,et al.  Element salience as a predictor of item difficulty for Raven's Progressive Matrices , 2007 .

[33]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[34]  B. Muthén,et al.  Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes , 1997 .

[35]  L. Stankov.  The theory of fluid and crystallized intelligence: New findings and recent developments , 2000 .

[36]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[37]  A. Jensen,et al.  The g factor , 1996, Nature.

[38]  Ricardo Primi,et al.  Complexity of Geometric Inductive Reasoning Tasks: Contribution to the Understanding of Fluid Intelligence. , 2001 .

[39]  Richard D. Roberts,et al.  Individual differences in speed of mental processing and human cognitive abilities: Toward a taxonomic model , 1999 .

[40]  A. Beauducel,et al.  Faceted Models of Intelligence. , 2005 .

[41]  C. MacCann.  Further examination of emotional intelligence as a standard intelligence: A latent variable analysis of fluid intelligence, crystallized intelligence, and emotional intelligence , 2010 .

[42]  John D. Crawford.  The relationship between tests of sustained attention and fluid intelligence , 1991 .

[43]  D. Bors,et al.  Items in Context: Assessing the Dimensionality of Raven’s Advanced Progressive Matrices , 2005 .

[44]  D. Bors,et al.  Raven's Advanced Progressive Matrices: Norms for First-Year University Students and the Development of a Short Form , 1998 .