2386 Raven s Progressive Matrices Raven s Progressive MatricesRPM 3 Colored Progressive Matrices Standard Progressive MatricesAdvanced Progressive Matrices 101 RPM Guttman RPM 1 2 2 3 8 Rep.90 8 294 386 3982009 Key Words Raven s Progressive Matrices Raven s Progressive MatricesReasoningCluster analysisguttman s scalogram analysis Neuropsychological test problem solving reasoninginference 1992 Raven s Progressive MatricesRPMRaven 1938 5 Raven s Colored Progressive MatricesRCPMRaven 1976 1993 6 Raven s Standard Progressive MatricesSPMRaven 1988a 11 Raven s Advanced Progressive Matrices APMRaven 1988b 3 1 1993 RCPM 199019952006 2005 2008 RCPM Wechsler Adult Intelligence Scale RevisedWAIS R
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12396 1 Babcock, R. L. Analysis of adult age differences on the Raven s Advanced Progressive Matrices Test. Psychol. Aging, 92 303 314, 1994. 2 Baddeley, A. Working Memory. Oxford University Press, Oxford, 1986. 3 Baddeley, A. Working Memory or working attention? In Selection, Awareness, and Controleds Baddeley, A. & Weiskrantz, L.. Oxford University Press, Oxford, 1993, pp. 152 170. 4 Baddeley, A. The episodic buffer a new component of working memory? Trends Cogn. Sci., 411 417 423, 2000. 5 Bock, R. D. Word and image Sources of the verbal and spatial factors in mental test scores. Psychometrica, 384 437 457, 1973. 6 Bunting, M. The role of processing difficulty in the predictive utility of working memory span. Psychon. Bull. Rev., 136 998 1004, 2006. 7 Carpenter, P. A., Just, M. A. & Shell, P. What one intelligence test measures a theoretical account of the processing in the Raven Progressive Matrices Test. Psychol. Rev., 973 404 431, 1990. 8 Denes, F., Semenza, C., Stoppa, E., et al. Selective improvement by unilateral brain damaged patients on Raven Coloured Progressive Matrices. Neuropsychologia., 166 749 752, 1978. 9 Gray, J. R., Chabris, C. F. & Braver, T. S. Neural mechanisms of general fluid intelligence. Nat. Neurosci., 63 316 322, 2003. 10 133 249 255, 2008. 11Lezak, M. D.
2009 12 31 2005. 12 131 29 37, 1997. 13 SPSS 2007. 14 1975. 15 Raven s Progressive Matrices Mini Mental State Examination 174 435 439, 2006. 16O Leary, U. M., Rusch, K. M. & Guastello, S. J. Estimating age stratified WAIS R IQS from scores on the Raven s Standard Progressive Matrices. J. Clin. Psychol., 472 277 284, 1991. 17Prabhakaran, V., Smith, J. A., Desmond, J. E., et al. Neural substrates of fluid reasoning an fmri study of neocortical activation during performance of the Raven s Progressive Matrices Test. Cognit. Psychol., 331 43 63, 1997. 18Raven, J. C., Court, J. H. Raven, J. Manual for Raven s coloured progressive matrices. H. K. Lewis, London, 1976. 19Raven, J. C., Court, J. H. Raven, J. Manual for Raven s progressive matrices and vocabulary 39713 scales Standard Progressive Matrices. H. K. Lewis, London, 1988 a. 20Raven, J. C., Court, J. H. Raven, J. Manual for Raven s progressive matrices and vocabulary scales Advanced Progressive Matrices Sets and. H. K. Lewis, London, 1988 b. 21 11 3 158 169, 1995. 22 1992, pp. 452 454. 23SKETCH 2005. 24 74 35 39, 1990. 25 1993. 26Tamez, E., Myerson, J. & Hale, S. Learning, working memory, and intelligence revisited. Behav. Processes, 782 240 245, 2008. 27 46 185 189, 2005.
14398 Abstract Cluster Analysis and Scaling of Raven s Progressive Matrices Taketo Youine Jun Tanemura We analyzed the structure of Raven s Progressive Matrices by cluster analysis and developed scales by Guttman s scalogram analysis. The subjects consisted of 101 people 82 normal subjects, 18 sufferers of traumatic brain damage, and 1 case of hypoxic encephalopathy. Set AB of Raven s Colored Progressive Matrices, Raven s Standard Progressive Matrices, and Raven s Advanced Progressive Matrices were used and reasoning measurement was devised for graded reasoning ability. From the results, we extracted three structures which were interpreted as detection of simple dimensional regularities based on visuospatial analysis, detection of two-dimensional regularity based on visuospatial analysis, and the reasoning that added conversion to the two-dimensional regularities based on visuospatial analysis. Further we devised 8- unit scale from Guttman scalogram analysisrep.90. The scales correlated with neuropsychological assessmentsintelligence, memory and attention tests. We concluded that the three structures and 8- unit scale were useful for evaluating graded reasoning.