References
- Alibali, M. W., Knuth, E. J., Hattikudur, S., McNeil, N. M., & Stephens, A. C. (2007). A longitudinal examination of middle school students’ understanding of the equal sign and equivalent equations. Mathematical Thinking and Learning, 9(3), 221–247. doi:https://doi.org/10.1080/10986060701360902
- Ashcraft, M. H., & Kirk, E. P. (2001). The relationships among working memory, math anxiety, and performance. Journal of Experimental Psychology: General, 130(2), 224–237. doi:https://doi.org/10.1037/0096-3445.130.2.224
- Baloglu, M., & Koçak, R. (2006). A multivariate investigation of the differences in mathematics anxiety. Personality and Individual Differences, 40(7), 1325–1335. doi:https://doi.org/10.1016/j.paid.2005.10.009
- Barbieri, C. A., Rodrigues, J., Dyson, N., & Jordan, N. C. (2020). Improving fraction understanding in sixth graders with mathematics difficulties: Effects of a number line approach combined with cognitive learning strategies. Journal of Educational Psychology, 112(3), 628–648. doi:https://doi.org/10.1037/edu0000384
- Bartelet, D., Ansari, D., Vaessen, A., & Blomert, L. (2014). Cognitive subtypes of mathematics learning difficulties in primary education. Research in Developmental Disabilities, 35(3), 657–670. doi:https://doi.org/10.1016/j.ridd.2013.12.010
- Bishop, A. J. (1980). Spatial abilities and mathematics education – A review. Educational Studies in Mathematics, 11(3), 257–269. doi:https://doi.org/10.1007/BF00697739
- Booth, J. L., Barbieri, C., Eyer, F., & Paré-Blagoev, E. J. (2014). Persistent and pernicious errors in algebraic problem solving. The Journal of Problem Solving, 7(1), 10–23. doi:https://doi.org/10.7771/1932-6246.1161
- Booth, J. L., & Koedinger, K. R. (2008). Key misconceptions in algebraic problem solving. Proceedings of the Annual Meeting of the Cognitive Science Society, 30, 30. Permalink https://escholarship.org/content/qt5n28t12n/qt5n28t12n.pdf
- Braithwaite, D. W., Leib, E. R., Siegler, R. S., & McMullen, J. (2019). Individual differences in fraction arithmetic learning. Cognitive Psychology, 112, 81–98. doi:https://doi.org/10.1016/j.cogpsych.2019.04.002
- Braithwaite, D. W., Tian, J., & Siegler, R. S. (2018). Do children understand fraction addition? Developmental Science, 21(4), e12601. doi:https://doi.org/10.1111/desc.12601
- Bull, R., Epsy, K. A., & Wiebe, S. A. (2008). Short-term memory, working memory, and executive functions in preschoolers: Longitudinal predictors of mathematical achievement at age 7 years. Developmental Neuropsychology, 33(3), 205–228. doi:https://doi.org/10.1080/87565640801982312
- Bull, R., & Lee, K. (2014). Executive functioning and mathematics achievement. Child Development Perspectives, 8(1), 36–41. doi:https://doi.org/10.1111/cdep.12059
- Bynner, J. (1997). Basic skills in adolescents’ occupational preparation. The Career Development Quarterly, 45(4), 305–321. doi:https://doi.org/10.1002/j.2161-0045.1997.tb00536.x
- Carey, E., Hill, F., Devine, A., & Szücs, D. (2016). The chicken or the egg? The direction of the relationship between mathematics anxiety and mathematics performance. Frontiers in Psychology, 6, 1987. doi:https://doi.org/10.3389/fpsyg.2015.01987
- Carpenter, T. P., Corbitt, M. K., Kepner, H., Jr., Lindquist, M. M., & Reys, R. (1981). Results from the second mathematics assessment of the National Assessment of Educational Progress. Washington, DC: National Council of Teachers of Mathematics.
- Casey, B. M., Lombardi, C. M., Pollock, A., Fineman, B., & Pezaris, E. (2017). Girls’ spatial skills and arithmetic strategies in first grade as predictors of fifth-grade analytical math reasoning. Journal of Cognition and Development, 18(5), 530–555. doi:https://doi.org/10.1080/15248372.2017.1363044
- Casey, M. B., Nuttall, R., Pezaris, E., & Benbow, C. P. (1995). The influence of spatial ability on gender differences in mathematics college entrance test scores across diverse samples. Developmental Psychology, 31(4), 697–705. doi:https://doi.org/10.1037/0012-1649.31.4.697
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
- Collaer, M., Reimers, L., & Manning, S. (2007). Visuospatial performance on an internet line judgment task and potential hormonal markers: Sex, sexual orientation, and 2D:4D. Archives of Sexual Behavior, 36(2), 177–192. doi:https://doi.org/10.1007/s10508-006-9152-1
- De Smedt, B., Janssen, R., Bouwens, K., Verschaffel, L., Boets, B., & Ghesquière, P. (2009). Working memory and individual differences in mathematics achievement: A longitudinal study from first grade to second grade. Journal of Experimental Child Psychology, 103(2), 186–201. doi:https://doi.org/10.1016/j.jecp.2009.01.004
- Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35(1), 13–21. doi:https://doi.org/10.1016/j.intell.2006.02.001
- Devine, A., Hill, F., Carey, E., & Szűcs, D. (2017). Cognitive and emotional math problems largely dissociate: Prevalence of developmental dyscalculia and mathematics anxiety. Journal of Educational Psychology, 110(3), 431–444. doi:https://doi.org/10.1037/edu0000222
- Dowker, A., Sarkar, A., & Looi, C. Y. (2016). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 7, 508. doi:https://doi.org/10.3389/fpsyg.2016.00508
- Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., … Sexton, H. (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428–1446. doi:https://doi.org/10.1037/0012-1649.43.6.1428
- Eccles, J. S., & Wang, M. T. (2016). What motivates females and males to pursue careers in mathematics and science? International Journal of Behavioral Development, 40(2), 100–106. doi:https://doi.org/10.1177/0165025415616201
- Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. doi:https://doi.org/10.1146/annurev.psych.53.100901.135153
- Frisco-van den Bos, I., Van Der Ven, S. H., Kroesbergen, E. H., & van Luit, J. E. (2013). Working memory and mathematics in primary school children: A meta-analysis. Educational Research Review, 10, 29–44. doi:https://doi.org/10.1111/jcpp.12296
- Fuchs, L. S., Seethaler, P. M., Sterba, S. K., Craddock, C., Fuchs, D., Compton, D. L., … Changas, P. (2020). Closing the word-problem achievement gap in first grade: Schema-based word-problem intervention with embedded language comprehension instruction. Journal of Educational Psychology. Advance online. doi:https://doi.org/10.1037/edu000046
- Geary, D. C. (2004). Mathematics and learning disabilities. Journal of Learning Disabilities, 37(1), 4–15. doi:https://doi.org/10.1177/00222194040370010201
- Geary, D. C. (2011). Cognitive predictors of individual differences in achievement growth in mathematics: A five-year longitudinal study. Developmental Psychology, 47(6), 1539–1552. doi:https://doi.org/10.1037/a0025510
- Geary, D. C., Hoard, M. K., Byrd-Craven, J., Nugent, L., & Numtee, C. (2007). Cognitive mechanisms underlying achievement deficits in children with mathematical learning disability. Child Development, 78(4), 1343–1359. doi:https://doi.org/10.1111/j.1467-8624.2007.01069.x
- Geary, D. C., Hoard, M. K., Nugent, L., & Bailey, D. H. (2012). Mathematical cognition deficits in children with learning disabilities and persistent low achievement: A five-year prospective study. Journal of Educational Psychology, 104(1), 206–223. doi:https://doi.org/10.1037/a0025398
- Geary, D. C., Hoard, M. K., Nugent, L., & Bailey, H. D. (2013). Adolescents’ functional numeracy is predicted by their school entry number system knowledge. PLoS ONE, 8(1), e54651. doi:https://doi.org/10.1371/journal.pone.0054651
- Geary, D. C., Hoard, M. K., Nugent, L., Chu, F. W., Scofield, J. E., & Hibbard, D. F. (2019). Sex differences in mathematics anxiety and attitudes: Concurrent and longitudinal relations to mathematical competence. Journal of Educational Psychology, 111(8), 1447–1461. doi:10.1037/edu0000355.
- Geary, D. C., Nicholas, A., Li, Y., & Sun, J. (2017). Developmental change in the influence of domain-general abilities and domain-specific knowledge on mathematics achievement: An eight-year longitudinal study. Journal of Educational Psychology, 109(5), 680–693. doi:https://doi.org/10.1037/edu0000159
- Geary, D. C., Scofield, J. E., Hoard, M. K., & Nugent, L. (2021). Boys’ advantage on the fractions number line is mediated by visuospatial attention: Evidence for a parietal-spatial contribution to number line learning. Developmental Science, 24, e13063. doi:https://doi.org/10.1111/desc.13063
- Geary, D. C., & Widaman, K. F. (1992). Numerical cognition: On the convergence of componential and psychometric models. Intelligence, 16(1), 47–80. doi:https://doi.org/10.1016/0160-2896(92)90025-M
- Geer, E. A., Quinn, J. M., & Ganley, C. M. (2019). Relations between spatial skills and math performance in elementary school children: A longitudinal investigation. Developmental Psychology, 55(3), 637–652. doi:https://doi.org/10.1037/dev0000649
- Gignac, G. E., & Zajenkowski, M. (2020). The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data. Intelligence, 80, 101449. doi:https://doi.org/10.1016/j.intell.2020.101449
- Gilligan, K. A., Thomas, M. S., & Farran, E. K. (2020). First demonstration of effective spatial training for near transfer to spatial performance and far transfer to a range of mathematics skills at 8 years. Developmental Science, 23(4), e12909. doi:https://doi.org/10.1111/desc.12909
- Gunderson, E. A., Park, D., Maloney, E. A., Beilock, S. L., & Levine, S. C. (2018). Reciprocal relations among motivational frameworks, math anxiety, and math achievement in early elementary school. Journal of Cognition and Development, 19(1), 21–46. doi:https://doi.org/10.1080/15248372.2017.1421538
- Hawes, Z., & Ansari, D. (2020). What explains the relationship between spatial and mathematical skills? A review of evidence from brain and behavior. Psychonomic Bulletin & Review, 27(3), 465–482. doi:https://doi.org/10.3758/s13423-019-01694-7
- Hecht, S. A., & Vagi, K. J. (2010). Sources of group and individual differences in emerging fraction skills. Journal of Educational Psychology, 102(4), 843–859. doi:https://doi.org/10.1037/a0019824
- Hembree, R. (1990). The nature, effects, and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33–46. doi:https://doi.org/10.2307/749455
- Hennig, C. (2007). Cluster-wise assessment of cluster stability. Computational Statistics & Data Analysis, 52(1), 258–271. doi:https://doi.org/10.1016/j.csda.2006.11.025
- Hill, F., Mammarella, I. C., Devine, A., Caviola, S., Passolunghi, M. C., & Szűcs, D. (2016). Maths anxiety in primary and secondary school students: Gender differences, developmental changes and anxiety specificity. Learning and Individual Differences, 48, 45–53. doi:https://doi.org/10.1016/j.lindif.2016.02.006
- Hopko, D. R., Mahadevan, R., Bare, R. L., & Hunt, M. K. (2003). The abbreviated math anxiety scale (AMAS) construction, validity, and reliability. Assessment, 10(2), 178–182. doi:https://doi.org/10.1177/1073191103010002008
- Hord, C., & Xin, Y. P. (2013). Intervention research for helping elementary school students with math learning difficulties understand and solve word problems: 1996–2010. Learning Disabilities, 19, 3–17. doi:https://doi.org/10.18666/LDMJ-2013-V19-I1-4789
- Jaeggi, S. M., Studer-Luethi, B., Buschkuehl, M., Su, Y.-F., Jonides, J., & Perrig, W. J. (2010). The relationship between n-back performance and matrix reasoning—Implications for training and transfer. Intelligence, 38(6), 625–635. doi:https://doi.org/10.1016/j.intell.2010.09.001
- Jansen, R. A., Rafferty, A. N., & Griffiths, T. L. (2021). A rational model of the Dunning–Kruger effect supports insensitivity to evidence in low performers. Nature Human Behaviour, 1–8. doi:https://doi.org/10.1038/s41562-021-01057-0
- Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773–795. doi:https://doi.org/10.1080/01621459.1995.10476572
- Kell, H. J., Lubinski, D., Benbow, C. P., & Steiger, J. H. (2013). Creativity and technical innovation: Spatial ability’s unique role. Psychological Science, 24(9), 1831–1836. doi:https://doi.org/10.1177/0956797613478615
- Kessels, R. P. C., van Zandvoort, M. J. E., Postma, A., Kappelle, L. J., & de Haan, E. H. F. (2000). The Corsi block-tapping task: Standardization and normative data. Applied Neuropsychology, 7(4), 252–258. doi:https://doi.org/10.1207/S15324826AN0704_8
- Knuth, E. J., Alibali, M. W., McNeil, N. M., Weinberg, A., & Stephens, A. C. (2005). Middle school students’ understanding of core algebraic concepts: Equivalence & variable. Zentralblatt Für Didaktik Der Mathematik (International Reviews on Mathematics Education), 37(1), 68–76. doi:10.1007_BF02655899.ris
- Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6), 1121–1134. doi:https://doi.org/10.1037/0022-3514.77.6.1121
- 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. doi:https://doi.org/10.1007/BF03173141
- Lauermann, F., Tsai, Y. M., & Eccles, J. S. (2017). Math-related career aspirations and choices within Eccles et al.’s expectancy–value theory of achievement-related behaviors. Developmental Psychology, 53(8), 1540–1559. doi:https://doi.org/10.1037/dev0000367
- Lee, K., & Bull, R. (2016). Developmental changes in working memory, updating, and math achievement. Journal of Educational Psychology. doi:https://doi.org/10.1037/edu0000090
- Li, Y., & Geary, D. C. (2017). Children’s visuospatial memory predicts mathematics achievement through early adolescence. PLoS ONE, 12(2), e0172046. doi:https://doi.org/10.1371/journal.pone.0172046
- Longo, M. R., & Lourenco, S. F. (2007). Spatial attention and the mental number line: Evidence for characteristic biases and compression. Neuropsychologia, 45(7), 1400–1407. doi:https://doi.org/10.1016/j.neuropsychologia.2006.11.002
- Maloney, E. A., & Beilock, S. L. (2012). Math anxiety: Who has it, why it develops, and how to guard against it. Trends in Cognitive Sciences, 16(8), 404–406. doi:https://doi.org/10.1016/j.tics.2012.06.008
- Mamedova, S., Sparks, D., & Hoyer, K. M. (2017). Adult education attainment and assessment scores: A cross-national comparison (NCES 2018–007). Washington, DC: National Center for Education Statistics.
- Martin, W. G., Strutchens, M. E., & Elliott, P. C. (2007). The learning of mathematics. Reston, VA: National Council of Teachers of Mathematics.
- Mazzocco, M., & Devlin, K. T. (2008). Parts and holes: Gaps in rational number sense in children with vs. without mathematical learning disability. Developmental Science, 11(5), 681–691. doi:https://doi.org/10.1111/j.1467-7687.2008.00717.x
- Mazzocco, M. M. M., & Kover, S. T. (2007). A longitudinal assessment of executive function skills and their association with math performance. Child Neuropsychology, 13(1), 18–45. doi:https://doi.org/10.1080/09297040600611346
- McIntosh, R. D., Fowler, E. A., Lyu, T., & Della Sala, S. (2019). Wise up: Clarifying the role of metacognition in the Dunning-Kruger effect. Journal of Experimental Psychology: General, 148(11), 1882–1897. doi:https://doi.org/10.1037/xge0000579
- McLean, J. F., & Hitch, G. J. (1999). Working memory impairments in children with specific arithmetic learning difficulties. Journal of Experimental Child Psychology, 74(3), 240–260. doi:https://doi.org/10.1006/jecp.1999.2516
- McNeil, N. M., Fyfe, E. R., Petersen, L. A., Dunwiddie, A. E., & Brletic‐Shipley, H. (2011). Benefits of practicing 4= 2 + 2: Nontraditional problem formats facilitate children’s understanding of mathematical equivalence. Child Development, 82(5), 1620–1633. doi:https://doi.org/10.1111/j.1467-8624.2011.01622.x
- McNeil, N. M., Hornburg, C. B., Devlin, B. L., Carrazza, C., & McKeever, M. O. (2019). Consequences of individual differences in children’s formal understanding of mathematical equivalence. Child Development, 90(3), 940–956. doi:https://doi.org/10.1111/cdev.12948
- Meece, J. L., Wigfield, A., & Eccles, J. S. (1990). Predictors of math anxiety and its influence on young adolescents’ course enrollment intentions and performance in mathematics. Journal of Educational Psychology, 82(1), 60–70. doi:https://doi.org/10.1037/0022-0663.82.1.60
- Mix, K. S. (2019). Why are spatial skill and mathematics related? Child Development Perspectives, 13(2), 121–126. doi:https://doi.org/10.1111/cdep12323
- Mix, K. S., & Cheng, Y. L. (2012). The relation between space and math: Developmental and educational implications. Advances in Child Development and Behavior, 42, 197–243. doi:https://doi.org/10.1016/B978-0-12-394388-0.00006-X
- Mix, K. S., Levine, S. C., Cheng, Y. L., Young, C., Hambrick, D. Z., Ping, K. R., (2016). Separate but correlated: The latent structure of space and mathematics across development. Journal of Experimental Psychology: General, 1206, 1227–492. doi:https://doi.org/10.1037/xge0000182
- Mix, K. S., Levine, S. C., Cheng, Y. L., Young, C. J., Hambrick, D. Z., & Konstantopoulos, S. (2017). The latent structure of spatial skills and mathematics: A replication of the two-factor model. Journal of Cognition and Development, 18(4), 465–492. doi:https://doi.org/10.1080/15248372.2017.1346658
- Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. doi:https://doi.org/10.1006/cogp.1999.0734
- Miyake, A., Friedman, N. P., Rettinger, D. A., Shah, P., & Hegarty, M. (2001). How are visuospatial working memory, executive functioning, and spatial abilities related? A latent-variable analysis. Journal of Experimental Psychology: General, 130(4), 621–640. doi:https://doi.org/10.1037//0096-3445.130.4.621
- Murphy, M. M., Mazzocco, M. M., Hanich, L. B., & Early, M. C. (2007). Cognitive characteristics of children with mathematics learning disability (MLD) vary as a function of the cutoff criterion used to define MLD. Journal of Learning Disabilities, 40(5), 458–478. doi:https://doi.org/10.1177/00222194070400050901
- National Mathematics Advisory Panel. (2008). Foundations for success: Final report of the national mathematics advisory panel. Washington, DC: United States Department of Education. http://www.ed.gov/about/bdscomm/list/mathpanel/report/final-report.pdf
- 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. doi:https://doi.org/10.1006/brcg.1995.1032
- R Core Team. (2017). R: A language and environment for statistical computing. Retrieved from https://www.R-project.org/
- Reuhkala, M. (2001). Mathematical skills in ninth-graders: Relationship with visuo-spatial abilities and working memory. Educational Psychology, 21(4), 387–399. doi:https://doi.org/10.1080/01443410120090786
- Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135(6), 943–973. doi:https://doi.org/10.1037/a0017327
- Ritchie, S. J., & Bates, T. C. (2013). Enduring links from childhood mathematics and reading achievement to adult socioeconomic status. Psychological Science, 24(7), 1301–1308. doi:https://doi.org/10.1177/0956797612466268
- Rouder, J. N., Engelhardt, C. R., McCabe, S., & Morey, R. D. (2016). Model comparison in ANOVA. Psychonomic Bulletin & Review, 23(6), 1779–1786. doi:https://doi.org/10.3758/s13423-016-1026-5
- SAS Institute. (2014). Statistical analysis system 9.2. Cary, NC: Author.
- Siegler, R. S., Duncan, G. J., Davis-Kean, P. E., Duckworth, K., Claessens, A., Engel, M., … Chen, M. (2012). Early predictors of high school mathematics achievement. Psychological Science, 23(7), 691–697. doi:https://doi.org/10.1177/0956797612440101
- Siegler, R. S., Thompson, C. A., & Schneider, M. (2011). An integrated theory of whole number and fractions development. Cognitive Psychology, 62(4), 273–296. doi:https://doi.org/10.1016/j.cogpsych.2011.03.001
- 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. doi:https://doi.org/10.1037/0022-0663.100.2.343
- Sweller, J., van Merriënboer, J. J., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31(2), 261–292. doi:https://doi.org/10.1007/s10648-019-09465-5
- Talsma, K., Schüz, B., Schwarzer, R., & Norris, K. (2018). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learning and Individual Differences, 61, 136–150. doi:https://doi.org/10.1016/j.lindif.2017.11.015
- Tolar, T. D., Lederberg, A. R., & Fletcher, J. M. (2009). A structural model of algebra achievement: Computational fluency and spatial visualisation as mediators of the effect of working memory on algebra achievement. Educational Psychology, 29(2), 239–266. doi:https://doi.org/10.1080/01443410802708903
- Valentine, J. C., DuBois, D. L., & Cooper, H. (2004). The relation between self-beliefs and academic achievement: A meta-analytic review. Educational Psychologist, 39(2), 111–133. doi:https://doi.org/10.1207/s15326985ep3902_3
- Valentine, K. D., Buchanan, E. M., Scofield, J. E., & Beauchamp, M. T. (2019). Beyond p values: Utilizing multiple methods to evaluate evidence. Behaviormetrika, 46(1), 121–144. doi:https://doi.org/10.1007/s41237-019-00078-4
- Van de Weijer-Bergsma, E., Kroesbergen, E. H., & Van Luit, J. E. (2015). Verbal and visual-spatial working memory and mathematical ability in different domains throughout primary school. Memory & Cognition, 43(3), 367–378. doi:https://doi.org/10.3758/s13421-014-0480-4
- Vanbinst, K., Ceulemans, E., Ghesquière, P., & De Smedt, B. (2015). Profiles of children’s arithmetic fact development: A model-based clustering approach. Journal of Experimental Child Psychology, 133, 29–46. doi:https://doi.org/10.1016/j.jecp.2015.01.0030022–0965
- Wechsler, D. (1999). Wechsler abbreviated scale of intelligence. San Antonio, TX: PsychCorp, Harcourt Assessment, Inc.
- Wechsler, D. (2009). Wechsler individual achievement test (3rd ed.). San Antonio, TX: Psychological Corporation.
- Woods, D. L., Kishiyama, M. M., Yund, E. W., Herron, T. J., Edwards, B., Poliva, O., … Reed, B. (2011). Improving digit span assessment of short-term verbal memory. Journal of Clinical and Experimental Neuropsychology, 33(1), 101–111. doi:https://doi.org/10.1080/13803395.2010.493149
- Zorzi, M., Bonato, M., Treccani, B., Scalambrin, G., Marenzi, R., & Priftis, K. (2012). Neglect impairs explicit processing of the mental number line. Frontiers in Human Neuroscience, 6, 125. doi:https://doi.org/10.3389/fnhum.2012.00125