바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Individual Differences in Performance on Working Memory Tasks According to Object, Spatial, and Verbal Cognitive Styles

The Korean Journal of Cognitive and Biological Psychology / The Korean Journal of Cognitive and Biological Psychology, (P)1226-9654; (E)2733-466X
2013, v.25 no.4, pp.539-563
https://doi.org/10.22172/cogbio.2013.25.4.008


  • Downloaded
  • Viewed

Abstract

One of the main factors that explain individual differences in working memory capacity is cognitive styles. Although it was proposed that cognitive style consists of three independent dimensions of object, spatial and verbal, the relationship between working memory and the three-dimensional cognitive style has been unknown. Thus, we sought to examine the validity of the Korean version of the Object-Spatial Imagery and Verbal Questionnaire (OSIVQ; Blazhenkove & Kozhevnikov, 2009) (experiment 1), and the relationship between cognitive style and working memory by evaluating the differences in performance on working memory tasks according to individuals' cognitive styles (experiment 2). In the experiment 1, we found that the Korean version of OSIVQ consisted of three main factors (Object, Spatial, and Verbal) and showed satisfactory reliability and validity. These results were repeatedly observed for another sample. In the experiment 2, we found that the greater object style was preferred, the higher accuracy in the object task was scored and that the greater spatial style was preferred, the higher accuracy in the spatial task was shown. In other words, these results demonstrate that there is a close relationship between cognitive style and working memory. Our results suggest that repetitive use of a particular information processing method, according to the preference on the cognitive styles, can lead to improvement in relevant working memory capability.

keywords
cognitive styles, working memory, individual differences in working memory, 인지양식, 작업기억, 작업기억의 개인차

Reference

1.

도경수, 황혜란 (2006). 멀티미디어 학습에서 인지 양식과 제시 순서가 파지와 이해에 미치는 영향. 인지과학, 17(3), 231-253.

2.

조경자, 한광희. (2002). 멀티미디어 환경에서 인지양식이 학습수행에 미치는 영향. 한국심리학회지: 인지 및 생물, 14(3), 165-185.

3.

조광희 (2012). 고등학생의 계열 선택 및 과학․수학 선택 과목 이수에 관한 의견 조사. 교과교육학연구, 16, 839-857.

4.

Alloway, T. P. (2007). Automated working memory assessment. London: Pearson Assessment.

5.

Alloway, T. P., Banner, G. E., & Smith, P. (2010). Working memory and cognitive styles in adolescents' attainment. British Journal of Educational Psychology, 80, 567-581.

6.

Alloway, T. P., Gathercole, S. E., Kirkwood, H., & Elliott, J. (2009). The working memory rating scale: A classroom-based behavioral assessment of working memory. Learning and Individual Differences, 19, 242-245.

7.

Anderson, K. L., Casey, M. B., Thompson, W. L., Burrage, M. S., Pezaris, E., & Kosslyn, S. M. (2008). Performance on Middle School Geometry Problems With Geometry Clues Matched to Three Different Cognitive Styles. Mind, Brain and Education, 2, 188-197.

8.

Baddeley, A. D., & Hitch, G. J. (1974). Working memory (Vol.8). New York: Academic Press.

9.

Blajenkova, O., Kozhevnikov, M., & Motes, M. A. (2006). Object-spatial imagery: New self-report imagery questionnaire. Applied Cognitive Psychology, 20, 239-263.

10.

Blazhenkova, O., & Kozhevnikov, M. (2009). The new object-spatial-verbal cognitive style model: Theory and measurement. Applied Cognitive Psychology, 23, 638-663.

11.

Blazhenkova, O., & Kozhevnikov, M. (2010). Visual-object ability: A new dimension of non-verbal intelligence. Cognition, 117, 276- 301.

12.

Bull, R., & Scerif, G. (2001). Executive Functioning as a predictor of children's mathematics ability: Inhibition, switching, and working memory. Developmental Neuropsychology, 19, 273-293.

13.

Casey, M. B., Winner, E., Hurwitz, I., & DaSilva, D. (1991). Does processing style affect recall of the Rey-Osterrieth or Taylor complex figures? Journal of Clinical and Experimental Neuropsychology, 13, 600-606.

14.

Chara, P. J., Jr., & Hamm, D. A. (1989). An inquiry into the construct validity of the Vividness of Visual Imagery Questionnaire. Perception and Motor skills, 69, 127-136.

15.

Chein, J. M., & Morrison, A. B. (2010). Expanding the mind's workspace: Training and transfer effects with a complex working memory span task. Psychonomic Bulletin & Review, 17, 193-199.

16.

Collins, D. W., & Kimura, D. (1997). A large sex difference on a two-dimensional mental rotation task. Behavioral Neuroscience, 111, 845-849.

17.

Courtney, S. M., Petit, L., Maisog, J. M., Ungerleider, L. G., & Haxby, J. V. (1998). An area specialized for spatial working memory in human frontal cortex. Science, 279, 1347-1351.

18.

Courtney, S. M., Ungerleider, L. G., Keil, K., & Haxby, J. V. (1996). Object and spatial visual working memory activate separate neural systems in human cortex. Cerebral Cortex, 6, 39-49.

19.

Cowan, N., & Alloway, T. P. (2008). The development of working memory. In N. Cowan (Ed.), Development of memory in childhood (2ed., pp.303-342). Hove: Psychology Press.

20.

de Jong, P. F. (1998). Working memory deficits of reading disabled children. Journal of Experimental Child Psychology, 70, 75-96.

21.

Della Sala, S., Gray, C., Baddeley, A., Allamano, N., & Wilson, L. (1999). Pattern span: a tool for unwelding visuo-spatial memory. Neuropsychologia, 37, 1189-1199.

22.

Farah, M. J., Hammond, K. M., Levine, D. N., & Calvanio, R. (1988). Visual and spatial mental imagery: dissociable systems of representation. Cognitive Psychology, 20, 439-462.

23.

Geary, D. C., Gilger, J. W., & Elliott-Miller, B. (1992). Gender differences in three-dimensional mental rotation: a replication. Journal of Genetic Psychology, 153, 115-117.

24.

Grimley, M., Dahraei, H., & Riding, R. J. (2008). The relationship between anxiety-stability, working memory and cognitive style. Educational Studies, 34, 211-221.

25.

Grimleya, M., & Banner, G. (2008). Working memory, cognitive style, and behavioural predictors of GCSE exam success. Educational Psychology, 28, 341-351.

26.

Halpern, D. F. (2000). Sex differences in cognitive abilities (3rd ed.). Mahwah, NJ, USA: Lawrence Erlbaum Associates Publishers.

27.

Harkin, B., & Kessler, K. (2011). How Checking as a Cognitive Style Influences Working Memory Performance. Applied Cognitive Psychology, 25, 219-228.

28.

Heuer, F., Fischman, D., & Reisberg, D. (1986). Why does vivid imagery hurt colour memory? Canadian Journal of Psychology, 40, 161-175.

29.

Hiscock, M. (1976). Effects of Adjective Imagery on Recall from Prose. The Journal of General Psychology, 94, 295-299.

30.

Hyde, J. S., & Linn, M. C. (1988). Gender differences in verbal ability: A meta-analysis. Psychological Bulletin, 104, 53-69.

31.

Kail, R., Carter, P., & Pellegrino, J. (1979). The locus of sex differences in spatial ability. Perception & Psychophysics, 26, 182-186.

32.

Kirby, J. R. (1993). Collaborative and competitive effects of verbal and spatial processes. Learning and Instruction, 3, 201-214.

33.

Kosslyn, S. M., & Koenig, O. (1995). Wet mind: the new cognitive neuroscience (1st Free Press pbk. ed.). New York: Free Press.

34.

Kozhevnikov, M., Blazhenkova, O., & Becker, M. (2010). Trade-off in object versus spatial visualization abilities: restriction in the development of visual-processing resources. Psychonomic Bulletin and Review, 17, 29-35.

35.

Kozhevnikov, M., Hegarty, M., & Mayer, R. E. (2002). Revising the visualizer/verbalizer dimension: evidence for two types of visualizers. Cognition & Instruction, 20, 47-77.

36.

Kozhevnikov, M., Kosslyn, S., & Shephard, J. (2005). Spatial versus object visualizers: A new characterization of visual cognitive style. Memory & Cognition, 33, 710-726.

37.

Levine, D. N., Warach, J., & Farah, M. (1985). Two visual systems in mental imagery: dissociation of “what” and “where” in imagery disorders due to bilateral posterior cerebral lesions. Neurology, 35, 1010-1018.

38.

Linn, M. C., & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial abilities: a meta-analysis. Child Development, 56, 1479-1498.

39.

Logie, R. H., & Pearson, D. G. (1997). The inner eye and the inner scribe of visuo-spatial working memory: Evidence from developmental fractionation. European Journal of Cognitive Psychology, 9, 241-257.

40.

Marks, D. F. (1973). Visual imagery differences in the recall of pictures. British Journal of Psychology, 64, 17-24.

41.

Mayringer, H., & Wimmer, H. (2000). Pseudoname learning by German-speaking children with dyslexia: Evidence for a phonological learning deficit. Journal of Experimental Child Psychology, 75, 116-133.

42.

McKelvie, S. J. (1995). The VVIQ as a psychometric test of individual differences in visual imagery vividness: A critical quantitative review and plea for direction. Journal of Mental Imagery, 19, 1-106.

43.

Messick, S. (1976). Individuality in learning. Oxford, England: Jossey-Bass.

44.

Milner, A. D., & Goodale, M. A. (1995). The visual brain in action. Oxford; NewYork: Oxford University Press.

45.

Motes, M. A., Malach, R., & Kozhevnikov, M. (2008). Object-processing neural efficiency differentiates object from spatial visualizers. Neuroreport, 19, 1727-1731.

46.

Nelson, C. A., Monk, C. S., Lin, J., Carver, L. J., Thomas, K. M., & Truwit, C. L. (2000). Functional neuroanatomy of spatial working memory in children. Developmental Psychology, 36, 109-116.

47.

Oliveri, M., Turriziani, P., Carlesimo, G. A., Koch, G., Tomaiuolo, F., Panella, M., et al. (2001). Parieto-frontal interactions in visual-object and visual-spatial working memory: Evidence from transcranial magnetic stimulation. Cerebral Cortex, 11, 606-618.

48.

Pavio, A. (1971). Imagery and verbal processes. Oxford: Holt: Rinehart & Winston.

49.

Plass, J. L., Chun, D. M., Mayer, R. E., & Leutner, D. (1998). Supporting visual and verbal learning preferences in a second-language multimedia learning environment. Journal of Educational Psychology, 90, 25-36.

50.

Richardson, A. (1977). Verbalizer-visualizer: a cognitive style dimension. Journal of Mental Imagery, 1, 109-125.

51.

Riding, R. J. (1991). Cognitive Styles Analysis. Birmingham: Learning and Training Technology.

52.

Riding, R. J. (2000). Information Processing Index. Birmingham: Learning and Training Technology.

53.

Riding, R. J., Grimley, M., Dahraei, H., & Banner, G. (2003). Cognitive style, working memory and learning behaviour and attainment in school subjects. British Journal of Educational Psychology, 73, 149-169.

54.

Sadler-Smith, E., & Riding, R. (1999). Cognitive style and instructional preferences. Instructional Science, 27, 355-371.

55.

Schmiedek, F., Lovden, M., & Lindenberger, U. (2010). Hundred days of cognitive training enhance broad cognitive abilities in adulthood: findings from the COGITO study. Frontiers in Aging Neuroscience, 2.

56.

Seigneuric, A., Ehrlich, M. F., Oakhill, J. V., & Yuill, N. M. (2000). Working memory resources and children's reading comprehension. Reading and Writing, 13, 81-103.

57.

Swanson, H. L. (1994). Short-Term-Memory and Working-Memory - Do Both Contribute to Our Understanding of Academic-Achievement in Children and Adults with Learning- Disabilities. Journal of Learning Disabilities, 27, 34-50.

58.

Uhl, F., Goldenberg, G., Lang, W., Lindinger, G., Steiner, M., & Deecke, L. (1990). Cerebral correlates of imagining colours, faces and a map-Ⅱ. Negative cortical DC potentials. Neuropsychologia, 28, 81-93.

59.

Ungerleider, L. G., & Haxby, J. V. (1994). ‘What’ and ‘where’ in the human brain. Current Opinion in Neurobiology, 4, 157-165.

60.

Voyer, D., Voyer, S., & Bryden, M. P. (1995). Magnitude of sex differences in spatial abilities: a meta-analysis and consideration of critical variables. Psychological Bulletin, 117, 250-270.

The Korean Journal of Cognitive and Biological Psychology