Investigating spatial skills and math anxiety as mediators in a sequential mediation model: A pilot study

Lu Wang(1*)

(1) Department of Educational Psychology, Ball State University, United States
(*) Corresponding Author

Abstract

Prior research showed a gender effect on spatial ability, math anxiety, and math achievement. Lacking, however, is a comprehensive study that testedthe mediation effects of spatial ability and math anxiety between gender and math achievement in a sequential mediation model. To fill this gap, this pilot study tested two mediation relationships, one with spatial ability as a mediator, gender as a predictor, and math anxiety as an outcome variable; the other with math anxiety as a mediator, spatial ability as a predictor, and math achievement as an outcome variable. In addition, the study tested the relative strengths of the relationship between specific spatial skills that included perspective-taking, spatial imagery, and mental rotation and collegiate math achievement that included trigonometry, calculus, and linear algebra) via canonical correlations. Lastly, gender differences in spatial skills, math anxiety, and math achievement were investigated. The results of the independent t-tests showed that none of the well-documented gender differences in spatial ability was found. Canonical correlation analysis showed that a single canonical variable is sufficient in accounting for math-spatial relationship. The sequential mediation model, with spatial ability and math achievement serving as themediators in the model, fitted reasonably well. However, none of the mediation effects was statistically significant. Implications of these findings and future directions of this research are discussed

Keywords

gender, spatial skills, math anxiety, math achievement, mediation

Full Text:

PDF

References

Ashcraft, M. H., & Ridley, K. S. (2005). Math anxiety and its cognitive consequences. Handbook of mathematical cognition, 315-327.

Ashcraft, M. H., & Kirk, E. P. (2001). The relationships among working memory, math anxiety, and performance. Journal of experimental psychology: General, 130(2), 224.

Afifi, A., Clark, V. & May, S. (2004). Computer-Aided Multivariate Analysis (4th ed.). Boca Raton, Fl: Chapman & Hall/CRC.

Alexander, L., & Martray, C. (1989). The Development of an Abbreviated Version of the Mathematics Anxiety Rating Scale. Measurement and Evaluation in Counseling and Development, 22(3), 143-50.

Beede, D. N., Julian, T. A., Langdon, D., McKittrick, G., Khan, B., & Doms, M. E. (2011). Women in STEM: A gender gap to innovation. Economics and Statistics Administration Issue Brief, (04-11).

Bishop, S. J. (2009). Trait anxiety and impoverished prefrontal control of attention. Nature neuroscience, 12(1), 92-98.

Buckley, J., Seery, N., & Canty, D. (2018). A heuristic framework of spatial ability: A review and synthesis of spatial factor literature to support its translation into STEM education. Educational Psychology Review, 30(3), 947-972. https://doi.org/10.1007/s10648-018-9432-z

Cantlon, J. F., Platt, M. L., & Brannon, E. M. (2009). Beyond the number domain. Trends in cognitive sciences, 13(2), 83-91.

Cheng, Y. L.,& Mix, K. S. (2014). Spatial training improves children's mathematics ability. Journal of Cognition and Development, 15(1), 2-11.

Cicchetti, D.V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment. 6(4):284–290.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.

Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20, 37-46.

Cornoldi, C., & Vecchi, T. (2004). Visuo-spatial working memory and individual differences. Psychology Press.

Devine, A., Hill, F., Carey, E., & Szűcs, D. (2018). Cognitive and emotional math problems largely dissociate: Prevalence of developmental dyscalculia and mathematics anxiety. Journal of Educational Psychology, 110(3), 431. https://doi.org/10.1037/edu0000222

Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: a meta-analysis. Psychological bulletin, 136(1), 103.

Faust, M. W. (1996). Mathematics anxiety effects in simple and complex addition. Mathematical cognition, 2(1), 25-62.

Ferguson, A. M., Maloney, E. A., Fugelsang, J., & Risko, E. F. (2015). On the relation between math and spatial ability: The case of math anxiety. Learning and Individual Differences, 39, 1-12. https://doi.org/10.1016/j.lindif.2015.02.007

Geary, D. C. (2004). Mathematics and learning disabilities. Journal of learning disabilities, 37(1), 4-15.

Geary, D. C., Hoard, M. K., Nugent, L., & Scofield, J. E. (2021). In-class attention, spatial ability, and mathematics anxiety predict across-grade gains in adolescents’ mathematics achievement. Journal of educational psychology, 113(4), 754. https://doi.org/10.1037/edu0000487

Gevrek, Z. E., Gevrek, D., & Neumeier, C. (2020). Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality. Economics of Education Review, 76, 101978.

Gunderson, E. A., Ramirez, G., Beilock, S. L., & Levine, S. C. (2012). The relation between spatial skill and early number knowledge: the role of the linear number line. Developmental psychology, 48(5), 1229.

HallgrenK. A. (2012). Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial. Tutorials in quantitative methods for psychology, 8(1), 23–34.

Hegarty, M., Montello, D. R., Richardson, A. E., Ishikawa, T., & Lovelace, K. (2006). Spatial abilities at different scales: Individual differences in aptitude-test performance and spatial-layout learning. Intelligence, 34(2), 151-176.

Hubbard, E. M., Piazza, M., Pinel, P., & Dehaene, S. (2005). Interactions between number and space in parietal cortex. Nature Reviews Neuroscience, 6(6), 435-448.

Hutchison, J. E., Lyons, I. M., & Ansari, D. (2019). More similar than different: Gender differences in children's basic numerical skills are the exception not the rule. Child development, 90(1), e66-e79. https://doi.org/10.1111/cdev.13044

Hyde, J. S., Fennema, E., & Lamon, S. J. (1990). Gender differences in mathematics performance: a meta-analysis. Psychological bulletin, 107(2), 139.

Hyde, J. S., & Mertz, J. E. (2009). Gender, culture, and mathematics performance. Proceedings of the National Academy of Sciences, 106(22), 8801-8807.

Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008). Gender similarities characterize math performance. Science, 321(5888), 494-495.

Keppel G. (1982). Design and analysis: A researcher's handbook (2nd ed.). Prentice-Hall, Washington, D.C.

Kyttälä, M., & Lehto, J. E. (2008). Some factors underlying mathematical performance: The role of visuospatial working memory and non-verbal intelligence. European Journal of Psychology of Education, 23(1), 77-94.

Lauer, J. E., Yhang, E., & Lourenco, S. F. (2019). The development of gender differences in spatial reasoning: A meta-analytic review. Psychological Bulletin, 145(6), 537–565. https://doi.org/10.1037/bul0000191

LaGue, A., Eakin, G., & Dykeman, C. (2019). The impact of mindfulness-based cognitive therapy on math anxiety in adolescents. Preventing School Failure: Alternative Education for Children and Youth, 63(2), 142-148.

Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: a meta-analysis. Psychological bulletin, 136(6), 1123.

Linn, M. C., & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56(6), 1479–1498. https://doi.org/10.2307/1130467

Lyons, I. M., & Beilock, S. L. (2012). When math hurts: math anxiety predicts pain network activation in anticipation of doing math. PloS one, 7(10), e48076.

Maloney, E. A., Waechter, S., Risko, E. F., & Fugelsang, J. A. (2012). Reducing the sex difference in math anxiety: The role of spatial processing ability. Learning and Individual Differences, 22(3), 380-384.

Mix, K. S., Levine, S. C., Cheng, Y. L., Stockton, J. D., & Bower, C. (2021). Effects of spatial training on mathematics in first and sixth grade children. Journal of Educational Psychology, 113(2), 304. https://doi.org/10.1037/edu0000494

Mix, K. S. (2019). Why are spatial skill and mathematics related?. Child Development Perspectives, 13(2), 121-126. https://doi.org/10.1111/cdep.12323

Molina-Carmona, R., Pertegal-Felices, M. L., Jimeno-Morenilla, A., & Mora-Mora, H. (2018). Virtual reality learning activities for multimedia students to enhance spatial ability. Sustainability, 10(4), 1074. https://doi.org/10.3390/su10041074

Moore, D. S., & Johnson, S. P. (2008). Mental rotation in human infants: A sex difference. Psychological science, 19(11), 1063-1066.

Mortensen, E. L., Andresen, J., Kruuse, E., Sanders, S. A., & Reinisch, J. M. (2003). IQ stability: The relation between child and young adult intelligence test scores in low‐birthweight samples. Scandinavian Journal of Psychology, 44(4), 395-398.

Nunnally J.C, Bernstein I.H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

Reilly, D., Neumann, D. L., & Andrews, G. (2017). Gender differences in spatial ability: Implications for STEM education and approaches to reducing the gender gap for parents and educators. In M. S. Khine (Ed.), Visual-spatial ability in STEM education (pp. 195-224). Springer, Cham.

Paulus, M. P., & Stein, M. B. (2006). An insular view of anxiety. Biological psychiatry, 60(4), 383-387.

Penner, A. M. (2008). Gender differences in extreme mathematical achievement: An international perspective on biological and social factors. American Journal of Sociology, 114(S1), S138-S170.

Peters, M., Laeng, B., Latham, K., Jackson, M., Zaiyouna, R., & Richardson, C. (1995). A redrawn Vandenberg and Kuse mental rotations test-different versions and factors that affect performance. Brain and cognition, 28(1), 39-58.

Reilly, D., Neumann, D. L., & Andrews, G. (2017). Gender differences in spatial ability: Implications for STEM education and approaches to reducing the gender gap for parents and educators. In M. S. Khine (Ed.), Visual-spatial ability in STEM education (pp. 195-224). Springer, Cham.

Reuhkala, M. (2001). Mathematical skills in ninth-graders: Relationship with visuo-spatial abilities and working memory. Educational Psychology, 21(4), 387-399.

Richardson, F., & Suinn, R. M. (1972). The Mathematics Anxiety Rating Scale: Psychometric Data. Journal of Counseling Psychology, 19(6), 138-149.

Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological bulletin, 86(3), 638.

Rotzer, S., Loenneker, T., Kucian, K., Martin, E., Klaver, P., & Von Aster, M. (2009). Dysfunctional neural network of spatial working memory contributes to developmental dyscalculia. Neuropsychologia, 47(13), 2859-2865.

Sala, G., Signorelli, M., Barsuola, G., Bolognese, M., & Gobet, F. (2017). The relationship between handedness and mathematics is non-linear and is moderated by gender, age, and type of task. Frontiers in psychology, 8, 948.

Samuel, T. S., & Warner, J. (2021). “I can math!”: reducing math anxiety and increasing math self-efficacy using a mindfulness and growth mindset-based intervention in first-year students. Community College Journal of Research and Practice, 45(3), 205-222. https://doi.org/10.1080/10668926.2019.1666063

Scheiber, C., Reynolds, M. R., Hajovsky, D. B., & Kaufman, A. S. (2015). Gender differences in achievement in a large, nationally representative sample of children and adolescents. Psychology in the Schools, 52(4), 335-348.

Silk, T. J., Bellgrove, M. A., Wrafter, P., Mattingley, J. B., & Cunnington, R. (2010). Spatial working memory and spatial attention rely on common neural processes in the intraparietal sulcus. Neuroimage, 53(2), 718-724.

Stein, M. B., Simmons, A. N., Feinstein, J. S., & Paulus, M. P. (2007). Increased amygdala and insula activation during emotion processing in anxiety-prone subjects. American Journal of Psychiatry, 164(2), 318-327.

Sokolowski, H. M., Hawes, Z., & Lyons, I. M. (2019). What explains sex differences in math anxiety? A closer look at the role of spatial processing. Cognition, 182, 193-212.

Soltanlou, M., Artemenko, C., Dresler, T., Fallgatter, A. J., Ehlis, A. C., & Nuerk, H. C. (2019). Math anxiety in combination with low visuospatial memory impairs math learning in children. Frontiers in psychology, 10, 89.

Sorby, S., Casey, B., Veurink, N., & Dulaney, A. (2013). The role of spatial training in improving spatial and calculus performance in engineering students. Learning and Individual Differences, 26, 20-29.

Sorby, S. A. (2009). Educational research in developing 3‐D spatial skills for engineering students. International Journal of Science Education, 31(3), 459-480.

Sorby, S. A. (2007). Developing 3D spatial skills for engineering students. Australasian Journal of Engineering Education, 13(1), 1-11.

Suárez-Pellicioni, M., Núñez-Peña, M. I., & Colomé, À. (2016). Math anxiety: A review of its cognitive consequences, psychophysiological correlates, and brain bases. Cognitive, Affective, & Behavioral Neuroscience, 16(1), 3-22.

Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: a meta-analysis of training studies. Psychological bulletin, 139(2), 352.

Vandenberg, S. G., &Kuse, A. R. (1978). Mental rotations, a group test of three-dimensional spatial visualization. Perceptual and motor skills, 47(2), 599-604.

Van Mier, H. I., Schleepen, T. M., & Van den Berg, F. C. (2019). Gender differences regarding the impact of math anxiety on arithmetic performance in second and fourth graders. Frontiers in psychology, 9, 2690.

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(2), 250.

Voyer, D., Voyer, S. D., & Saint-Aubin, J. (2017). Sex differences in visual-spatial working memory: A meta-analysis. Psychonomic bulletin & review, 24(2), 307-334.

Walsh, V. (2003). A theory of magnitude: common cortical metrics of time, space and quantity. Trends in cognitive sciences, 7(11), 483-488.

Wang, L., Cohen, A. S., & Carr, M. (2014). Spatial ability at two scales of representation: A meta-analysis. Learning and Individual Differences, 36, 140-144.

Wigfield, A., & Meece, J. L. (1988). Math anxiety in elementary and secondary school students. Journal of educational Psychology, 80(2), 210.

Wilder, S. (2012). Gender differences in factors pertaining to math anxiety among college students. The University of Akron.

Wolbers, T., & Hegarty, M. (2010). What determines our navigational abilities? Trends in cognitive sciences, 14(3), 138-146.

Xie, F., Zhang, L., Chen, X., & Xin, Z. (2020). Is spatial ability related to mathematical ability: A meta-analysis. Educational Psychology Review. 32, 113–155. https://doi.org/10.1007/s10648-019-09496-y

Yoon, S. Y., & Mann, E. L. (2017). Exploring the spatial ability of undergraduate students: association with gender, STEM majors, and gifted program membership. Gifted Child Quarterly, 61(4), 313-327.

Zacks, J. M. (2008). Neuroimaging studies of mental rotation: a meta-analysis and review. Journal of cognitive neuroscience, 20(1), 1-19.

Article Metrics

Abstract view(s): 639 time(s)
PDF: 423 time(s)

Refbacks

  • There are currently no refbacks.