• Aspinwall. L., Shaw, K. L., & Presmeg, N. C. (1997). Uncontrollable mental imagery: Graphical connections between a function and its derivative. Educational Studies in Mathematics, 33, 301-317.
• Battista, M. T. (1990). Spatial visualization and gender differences in high school geometry. Journal for Research in Mathematics Education, 21, 47-60.
• Bremigan, E. G. (2005). An analysis of diagram modification and construction in students' solutions to applied calculus problems. Journal for Research in Mathematics Education, 36(3), 248-277.
• Dean, G. M., & Morris, P. E. (2003). The relationship between self-reports of imagery and spatial ability. British Journal of Psychology, 9, 245-273.
• Ekstrom, R. B., French, J. W., & Harman, H. H. (1976). Manual for kit of factor-referenced cognitive tests. Princeton, NJ: Educational Testing Service.
• Ferrini-Mundy, J. (1987). Spatial training for calculus students: Sex differences in achievement in visualization ability. Journal for Research in Mathematics Education, 18, 126-140.
• Galindo-Morales, E. (1994). Visualization in the calculus class: Relationship between cognitive style, gender, and use of technology. Unpublished doctoral dissertation, The Ohio State University.
• Haciomeroglu, E.S., Aspinwall, L., & Presmeg, N. (2010). Contrasting cases of calculus students’ understanding of derivative graphs. Mathematical Thinking and Learning, 12(2), 152-176.
• Haciomeroglu, E. S., & Chicken, E. (2012). Visual thinking and gender differences in high school calculus. International Journal of Mathematical Education in Science and Technology, 43(3), 303-313.
• Haciomeroglu, E. S., Chicken, E., & Dixon, J. (2013). Relationships between Gender, Cognitive Ability, Preference, and Calculus Performance. Mathematical Thinking and Learning, 15, 175-189.
• Hegarty, M., & Kozhevnikov, M. (1999). Types of visual-spatial representations and mathematical problem solving. Journal of Educational Psychology, 91, 684-689.
• Hegarty, M., & Waller, D. (2005). Individual differences in spatial abilities. In P. Shah & A. Miyake (Eds.), The Cambridge Handbook of Visuospatial Thinking (pp. 121-169). New York: Cambridge University Press.
• Kozhevnikov, M., Hegarty, M., & Mayer, R. E. (2002). Revising the visualizer–verbalizer dimension: Evidence for two types of visualizers. Cognition and instruction, 20(1), 47- 77.
• Kozhevnikov, M., Kosslyn, S. M., & Shepard, J. (2005). Spatial versus object visualizers: A new characterization of visual cognitive style. Memory and Cognition, 33(4), 710-726.
• Kozhevnikov, M., & Thornton, R. (2006). Real-time data display, spatial visualization ability, and learning force and motion concepts. Journal of Science Education and Technology, 15(1), 111-132.
• Krutetskii, V. A. (1976). The psychology of mathematical abilities in schoolchildren. Chicago: University of Chicago Press.
• Lean, G., & Clements, K. (1981). Spatial ability, visual imagery, and mathematical performance. Educational Studies in Mathematics, 12, 267-299.
• Lowrie, T., & Kay, R. (2001). Relationship between visual and nonvisual solution methods and difficulty in elementary mathematics. The Journal of Education Research, 94(4), 248-255.
• Massa, L., & Mayer, R. E., & (2006). Testing the ATI hypothesis: Should multimedia instruction accommodate verbalizer-visualizer cognitive style? Learning and Individual Differences, 16, 321-335.
• Mayer, R. E., & Massa, L. (2003). Three facets of visual and verbal learners: Cognitive ability, cognitive style, and learning preference. Journal of Educational Psychology, 95, 833-841.
• McAvinue, L., & Robertson, I. (2006-2007). Measuring visual imagery ability: A review. Imagination, Cognition and Personality. 26(3), 191-211.
• Moses, B. E. (1977). The nature of spatial ability and its relationship to mathematical problem solving. Unpublished Ph.D. Dissertation, Indiana University.
• Presmeg, N. C. (1985). The role of visually mediated processes in high school mathematics: A classroom investigation. Unpublished Ph.D. dissertation, University of Cambridge.
• Presmeg, N. C. (2006). Research on visualization in learning and teaching mathematics: Emergence from psychology. In A. Gutierrez & P. Boero (Eds.), Handbook of Research on the Psychology of Mathematics Education: Past, Present and Future (pp. 205-235). Rotterdam, The Netherlands: Sense Publishers.
• Richardson, A. (1977). Verbalizer-visualizer: A cognitive style dimension, Journal of Mental Imagery 1, 109-126.
• Samuels, J. (2010). The use of technology in calculus instruction. Unpublished Ph.D. dissertation, Columbia University.
• Sternberg, R. J., & Grigorenko, E. L. (2001). A capsule history of theory and research on styles. In R.J. Sternberg & L.F. Zhang (Eds.), Perspectives on Thinking, Learning and Cognitive Styles (pp. 1-21). Mahwah, NJ: Erlbaum.
• Stylianou, D. A. (2002). On the interaction of visualization and analysis: The negotiation of a visual representation in expert solving. Journal of Mathematical Behavior, 21, 303-317.
• Suwarsono, S. (1982). Visual imagery in the mathematical thinking of seventh grade students. Unpublished Ph.D. dissertation, Monash University, Melbourne, Australia.
• Zazkis, R., Dubinsky, E., & Dautermann, J. (1996). Coordinating visual and analytic strategies: A study of students’ understanding of the group D4. Journal for Research in Mathematics Education, 27, 435-457.

APA

Haciomeroglu, E. S. (2015). The Role of Cognitive Ability and Preferred Mode of Processing in Students’ Calculus Performance. Eurasia Journal of Mathematics, Science and Technology Education, 11(5), 1165-1179. https://doi.org/10.12973/eurasia.2015.1400a

Vancouver

Haciomeroglu ES. The Role of Cognitive Ability and Preferred Mode of Processing in Students’ Calculus Performance. EURASIA J Math Sci Tech Ed. 2015;11(5):1165-79. https://doi.org/10.12973/eurasia.2015.1400a

AMA

Haciomeroglu ES. The Role of Cognitive Ability and Preferred Mode of Processing in Students’ Calculus Performance. EURASIA J Math Sci Tech Ed. 2015;11(5), 1165-1179. https://doi.org/10.12973/eurasia.2015.1400a

Chicago

Haciomeroglu, Erhan Selcuk. "The Role of Cognitive Ability and Preferred Mode of Processing in Students’ Calculus Performance". Eurasia Journal of Mathematics, Science and Technology Education 2015 11 no. 5 (2015): 1165-1179. https://doi.org/10.12973/eurasia.2015.1400a

Harvard

Haciomeroglu, E. S. (2015). The Role of Cognitive Ability and Preferred Mode of Processing in Students’ Calculus Performance. Eurasia Journal of Mathematics, Science and Technology Education, 11(5), pp. 1165-1179. https://doi.org/10.12973/eurasia.2015.1400a

MLA

Haciomeroglu, Erhan Selcuk "The Role of Cognitive Ability and Preferred Mode of Processing in Students’ Calculus Performance". Eurasia Journal of Mathematics, Science and Technology Education, vol. 11, no. 5, 2015, pp. 1165-1179. https://doi.org/10.12973/eurasia.2015.1400a