Hitch, G. J., Hu, Y., Allen, R. J., & Baddeley, A. D. (2018). Competition for the focus of attention in visual working memory: perceptual recency versus executive control. Annals of the New York Academy of Sciences, 1424(1), 64-75.
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, 105(19), 6829-6833.
Kaufman, A. S., & Kaufman, N. L. (2015). Essentials of working memory assessment and intervention. Hoboken, New Jersey: John Wiley & Sons.
Kyllonen, P. C., & Christal, R. E. (1990). Reasoning ability is (little more than) working-memory capacity? Intelligence, 14(4), 389-433.
McArdle, J. J., Hamagami, F., Meredith, W., & Bradway, K. P. (2000). Modeling the dynamic hypotheses of Gf–Gc theory using longitudinal life-span data. Learning and Individual Differences, 12(1), 53-79.
Newton, J. H., & McGrew, K. S. (2010). Introduction to the special issue: Current research in Cattell–Horn–Carroll–based assessment. Psychology in the Schools, 47(7), 621-634.
Primi, R., Ferrão, M. E., & Almeida, L. S. (2010). Fluid intelligence as a predictor of learning: A longitudinal multilevel approach applied to math. Learning and Individual Differences, 20(5), 446-451.
Rittle-Johnson, B., & Alibali, M. W. (1999). Conceptual and procedural knowledge of mathematics: Does one lead to the other? Journal of educational psychology, 91(1), 175-189.
Rittle-Johnson, B., & Siegler, R. S. (1998). The relation between conceptual and procedural knowledge in learning mathematics: A review. In C. Donlan (Ed.), Studies in developmental psychology. The development of mathematical skills (p. 75–110). London: Psychology Press/Taylor & Francis.
Ross, F. L. (1992). The use of computers in occupational therapy for visual-scanning training. American Journal of Occupational Therapy, 46(4), 314-322.
Sadock, B., Sadock, V., & Ruiz, P. (2015). Kaplan & Sadock's synopsis of psychiatry: behavioral sciences. Philadelphia: Walters Kluwer.
Schweizer, K., & Moosbrugger, H. (2004). Attention and working memory as predictors of intelligence. Intelligence, 32(4), 329-347.
Sidney, P. G., & Alibali, M. W. (2015). Making connections in math: Activating a prior knowledge analogue matters for learning. Journal of Cognition and Development, 16(1), 160-185.
Simonsmeier, B. A., Flaig, M., Deiglmayr, A., Schalk, L., & Schneider, M. (2018). Domain-Specific Prior Knowledge and Learning: A Meta-Analysis. Research Synthesis 2018, Trier, Germany. http://dx.doi.org/10.23668/psycharchives.844
Sohlberg, M. M., & Mateer, C. A. (Eds.). (2001). Cognitive Rehabilitation: An Integrative Neuropsychological Approach. New York: Guilford Press.
Swanson, H. L., Jerman, O., & Zheng, X. (2008). Growth in working memory and mathematical problem solving in children at risk and not at risk for serious math difficulties. Journal of Educational Psychology, 100(2), 343-379.
Swanson, H. L., Jerman, O., & Zheng, X. (2008). Growth in working memory and mathematical problem solving in children at risk and not at risk for serious math difficulties. Journal of Educational Psychology, 100(2), 343-379.
Taub, G. E., Keith, T. Z., Floyd, R. G., & McGrew, K. S. (2008). Effects of general and broad cognitive abilities on mathematics achievement. School Psychology Quarterly, 23(2), 187.
Tollander, H. (2011). The Integrated Visual and Auditory Continuous Performance Test: Does the Comprehension Scale Discriminate ADHD? [Master's thesis, Pacific University]. the College of Health Professions at CommonKnowledge. http://commons.pacificu.edu/spp/419.
Unsworth, N., Fukuda, K., Awh, E., & Vogel, E. K. (2014). Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval. Cognitive psychology, 71, 1-26. https://doi.org/10.1016/j.cogpsych.2014.01.003.
Völke, A., & Roebers, C. (2016). Sustained attention and its relationship to fluid intelligence and working memory in children. Journal of Educational and Developmental Psychology, 6(1), 131-139.
Weiten, W. (2016). Psychology: Themes and Variations: PSY 1003: General Psychology. Boston: Cengage Learning.
Atkinson, A. L., Berry, D. J., Waterman, A. H., Baddeley, A. D., Hitch, G. J., & Allen, R. J. (2018). Are there multiple ways to direct attention in working memory? Annals of the New York Academy of Sciences, 1424(1), 115-126.
Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., & Jaeggi, S. M. (2015). Improving fluid intelligence with training on working memory: a meta-analysis. Psychonomic bulletin & review, 22(2), 366-377.
Baddeley, A. (1998). The central executive: A concept and some misconceptions. Journal of the International Neuropsychological Society, 4(5), 523-526.
Ball, D. L., & Bass, H. (2003). Making mathematics reasonable in school. A research companion to principles and standards for school mathematics, (p. 27-44). Reston,
Virginia: The National council of teachers of Mathematics.
Baroody, A. J., & Dowker, A. (Eds.). (2013). The development of arithmetic concepts and skills: Constructive adaptive expertise. Mahwah, New Jersey: Routledge.
Berginström, N., Johansson, J., Nordström, P., & Nordström, A. (2015). Attention in older adults: a normative study of the integrated visual and auditory continuous performance test for persons aged 70 years. The Clinical Neuropsychologist, 29(5), 595-610.
Bergqvist, T., & Lithner, J. (2012). Mathematical reasoning in teachers’ presentations. The Journal of Mathematical Behavior, 31(2), 252-269.
Connor, C. M., Mazzocco, M. M., Kurz, T., Crowe, E. C., Tighe, E. L., Wood, T. S., & Morrison, F. J. (2018). Using assessment to individualize early mathematics instruction. Journal of school psychology, 66, 97-113. https://doi.org/10.1016/j.jsp.2017.04.005.
Conway, A. R., Kane, M. J., & Engle, R. W. (2003). Working memory capacity and its relation to general intelligence. Trends in cognitive sciences, 7(12), 547-552.
Cormier, D. C., Bulut, O., McGrew, K. S., & Singh, D. (2017). Exploring the Relations between Cattell–Horn–Carroll (CHC) Cognitive Abilities and Mathematics Achievement. Applied Cognitive Psychology, 31(5), 530-538.
Davidson, A., Herbert, S., & Bragg, L. A. (2019). Supporting elementary teachers’ planning and assessing of mathematical reasoning. International Journal of Science and Mathematics Education, 17(6), 1151-1171.
Dehn, M. J. (2010). Long-term memory problems in children and adolescents: Assessment, intervention, and effective instruction. Hoboken, New Jersey: John Wiley & Sons.
DeLay, D., Laursen, B., Kiuru, N., Poikkeus, A. M., Aunola, K., & Nurmi, J. E. (2015). Stable same‐sex friendships with higher achieving partners promote mathematical reasoning in lower achieving primary school children. British Journal of Developmental Psychology, 33(4), 519-532.
Desco, M., Navas-Sanchez, F. J., Sanchez-González, J., Reig, S., Robles, O., Franco, C., & Arango, C. (2011). Mathematically gifted adolescents use more extensive and more bilateral areas of the fronto-parietal network than controls during executive functioning and fluid reasoning tasks. Neuroimage, 57(1), 281-292.
Diamond, A. (2013). Executive functions. Annual review of psychology, 64, 135-168. https://doi.org/10.1146/annurev-psych-113011-143750.
Duncan, J., Chylinski, D., Mitchell, D. J., & Bhandari, A. (2017). Complexity and compositionality in fluid intelligence. Proceedings of the National Academy of Sciences, 114(20), 5295-5299.
Fukuda, K., Vogel, E., Mayr, U., & Awh, E. (2010). Quantity, not quality: The relationship between fluid intelligence and working memory capacity. Psychonomic bulletin & review, 17(5), 673-679.
Gathercole, S. E., Alloway, T. P., Kirkwood, H. J., Elliott, J. G., Holmes, J., & Hilton, K. A. (2008). Attentional and executive function behaviours in children with poor working memory. Learning and individual differences, 18(2), 214-223.
Gazzaley, A., & Nobre, A. C. (2012). Top-down modulation: bridging selective attention and working memory. Trends in cognitive sciences, 16(2), 129-135.
Gelbart, D. (2007). Cognitive abilities that underlie mathematics achievement: A high ability perspective [Doctoral dissertation, University of British Columbia] . University of British Columbia Library. http://hdl.handle.net/2429/32533.
Mullis, I. V., Martin, M. O. (2014). Timss 2015 Assessment Frameworks. Amsterdam: International Association for the Evaluation of Educational Achievement.
Hecht, S. A., & Vagi, K. J. (2010). Sources of group and individual differences in emerging fraction skills. Journal of educational psychology, 102(4), 843-589.
Herbert, S., Vale, C., Bragg, L. A., Loong, E., & Widjaja, W. (2015). A framework for primary teachers’ perceptions of mathematical reasoning. International Journal of Educational Research, 74, 26-37. https://doi.org/10.1016/j.ijer.2015.09.005.
Herbert, S., Widjaja, W., Bragg, L. A., Loong, E., & Vale, C. (2016). Professional Learning in Mathematical Reasoning: Reflections of a Primary Teacher. Mathematics Education Research Group of Australasia.
Herbert, S., Widjaja, W., Bragg, L. A., Loong, E., & Vale, C. (2016). Professional learning in mathematical reasoning: reflections of a primary teacher, Presented at Proceedings of the 39th Conference for Mathematics Education Research Group of Australasia (MERGA), Adelaide, South Australia, 2016, Mathematics Education Research.