The interplay between ego-resiliency, math anxiety and working memory in math achievement.

Ego-resiliency Math anxiety Math performance Primary school Word problems Working memory

Journal

Psychological research
ISSN: 1430-2772
Titre abrégé: Psychol Res
Pays: Germany
ID NLM: 0435062

Informations de publication

Date de publication:
28 Jun 2024
Historique:
received: 22 04 2024
accepted: 14 06 2024
medline: 28 6 2024
pubmed: 28 6 2024
entrez: 28 6 2024
Statut: aheadofprint

Résumé

Previous research has suggested that math anxiety may contribute to poor math performance by interfering with working memory. However, only a limited number of studies investigated the mediating role of working memory in the math anxiety-math performance link in school-aged children. Unlike math anxiety, ego-resiliency is a personality resource that promotes the management of challenges and has been positively associated with math performance and negatively with anxiety. Nevertheless, there is still limited understanding regarding the specific role of ego-resiliency in math learning and how it relates to math anxiety. This study aimed to investigate conjunctly the interplay between primary school children's ego-resiliency, math anxiety, working memory, and performance on two different math tasks (i.e., arithmetic task and word problem-solving task), after controlling for general anxiety and age. The study involved 185 Italian children from grades 3 to 5. Serial multi-mediational analyses revealed that: (1) ego-resiliency has a positive indirect effect on math achievement through two paths - math anxiety, and math anxiety and working memory; (2) the study replicated previous findings showing that working memory partially mediated the relationship between math anxiety and math performance; (3) similar patterns of results were found for both math skills. The study identifies ego-resiliency as a possible protective factor in the development of math anxiety and suggests that ego-resiliency could be worth considering when designing interventions aimed at reducing negative emotions towards mathematics.

Identifiants

pubmed: 38940822
doi: 10.1007/s00426-024-01995-0
pii: 10.1007/s00426-024-01995-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

Références

Alessandri, G., Zuffianò, A., Eisenberg, N., & Pastorelli, C. (2017). The role of ego-resiliency as mediator of the longitudinal relationship between family socio-economic status and school grades. Journal of Youth and Adolescence, 46(10), 2157–2168. https://doi.org/10.1007/s10964-017-0691-7
doi: 10.1007/s10964-017-0691-7 pubmed: 28540522
Allen, K., & Giofrè, D. (2021). A distinction between working memory components as unique predictors of mathematical components in 7–8 year old children. Educational Psychology, 41(6), 678–694. https://doi.org/10.1080/01443410.2020.1857702
doi: 10.1080/01443410.2020.1857702
Ansari, D., De Smedt, B., & Grabner, R. H. (2012). Introduction to the Special Section on Numerical and Mathematical Processing. Mind Brain and Education, 6(3), 117–118.
doi: 10.1111/j.1751-228X.2012.01146.x
Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181–185. https://doi.org/10.1111/1467-8721.00196
doi: 10.1111/1467-8721.00196
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. https://doi.org/10.1037/0096-3445.130.2.224
doi: 10.1037/0096-3445.130.2.224 pubmed: 11409101
Ashcraft, M. H., & Krause, J. A. (2007). Working memory, math performance, and math anxiety. Psychonomic Bulletin & Review, 14, 243–248. https://doi.org/10.3758/BF03194059
doi: 10.3758/BF03194059
Ashcraft, M. H., & Moore, A. M. (2009). Mathematics anxiety and the affective drop in performance. Journal of Psychoeducational Assessment, 27(3), 197–205. https://doi.org/10.1177/0734282908330580
doi: 10.1177/0734282908330580
Ashcraft, M. H., & Ridley, K. S. (2005). Math anxiety and its cognitive consequences. In J. I. D. Campbell (Ed.), Handbook of Mathematical Cognition (pp. 315–327). Psychology.
Ashcraft, M. H., Krause, J. A., & Hopko, D. R. (2007). Is math anxiety a mathematical learning disability? In D. B. Berch, & M. M. M. Mazzocco (Eds.), Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (pp. 329–348). Paul H Brookes.
Ashkenazi, S., Rosenberg-Lee, M., Metcalfe, A. W., Swigart, A. G., & Menon, V. (2013). Visuo–spatial working memory is an important source of domain-general vulnerability in the development of arithmetic cognition. Neuropsychologia, 51(11), 2305–2317. https://doi.org/10.1016/j.neuropsychologia.2013.06.031
doi: 10.1016/j.neuropsychologia.2013.06.031 pubmed: 23896444 pmcid: 4136716
Baddeley, A. (1986). Working memory (Vol. 11). Oxford University Press.
Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423. https://doi.org/10.1016/S1364-6613(00)01538-2
doi: 10.1016/S1364-6613(00)01538-2 pubmed: 11058819
Baddeley, A., & Hitch, G. (1974). Working memory. In G. A. Bower (Ed.), The psychology of Learning and Motivation (pp. 47–90). Academic.
Barroso, C., Ganley, C. M., McGraw, A. L., Geer, E. A., Hart, S. A., & Daucourt, M. C. (2021). A meta-analysis of the relation between math anxiety and math achievement. Psychological Bulletin, 147(2), 134. https://doi.org/10.1037/bul0000307
doi: 10.1037/bul0000307 pubmed: 33119346
Bisanz, J., Sherman, J. L., Rasmussen, C., & Ho, E. (2005). Development of arithmetic skills and knowledge in preschool children. In J. I. D. Campbell (Ed.), Handbook of Mathematical Cognition (pp. 143–162). Psychology.
Block, J. H., & Block, J. (1980). The role of ego-control and ego-resiliency in the origination of behavior. In W. A. Collings (Ed.), The Minnesota symposia on child psychology (Vol. 13, pp. 39–101). Erlbaum.
Block, J., & Block, J. H. (2006). Venturing a 30-year longitudinal study. American Psychologist, 61(4), 315–327. https://doi.org/10.1037/0003-066X.61.4.315
doi: 10.1037/0003-066X.61.4.315 pubmed: 16719676
Block, J., & Gjerde, P. F. (1990). Depressive symptoms in late adolescence: A longitudinal perspective on personality antecedents. In A. S. Masten, & J. E. Rolf (Eds.), Risk and protective factors in the development of psychopathology (Vol. 360, p. 334). Cambridge University Press.
Block, J., & Kremen, A. M. (1996). Ego-resiliency scale [Database record]. APA PsycTests. https://doi.org/10.1037/t01072-000
doi: 10.1037/t01072-000
Boonen, A. J., van Wesel, F., Jolles, J., & van der Schoot, M. (2014). The role of visual representation type, spatial ability, and reading comprehension in word problem solving: An item-level analysis in elementary school children. International Journal of Educational Research, 68, 15–26. https://doi.org/10.1016/j.ijer.2014.08.001
doi: 10.1016/j.ijer.2014.08.001
Borman, G. D., & Overman, L. T. (2004). Academic resilience in mathematics among poor and minority students. The Elementary School Journal, 104(3), 177–195. https://doi.org/10.1086/499748
doi: 10.1086/499748
Brunwasser, S. M., Gillham, J. E., & Kim, E. S. (2009). A meta-analytic review of the Penn Resiliency Program’s effect on depressive symptoms. Journal of Consulting and Clinical Psychology, 77(6), 1042–1054. https://doi.org/10.1037/a0017671
doi: 10.1037/a0017671 pubmed: 19968381 pmcid: 4667774
Cartwright, K. B., Barber, T., A., & Archer, C. J. (2022). What’s the difference? Contributions of Lexical Ambiguity, reading comprehension, and executive functions to Math Word Problem solving in linguistically diverse 3rd to 5th graders. Scientific Studies of Reading, 26(6), 565–584. https://doi.org/10.1080/10888438.2022.2084399
doi: 10.1080/10888438.2022.2084399
Caspi, A., & Silva, P. A. (1995). Temperamental qualities at age three predict personality traits in young adulthood: Longitudinal evidence from a birth cohort. Child Development, 66(2), 486–498. https://doi.org/10.1111/j.1467-8624.1995.tb00885.x
doi: 10.1111/j.1467-8624.1995.tb00885.x pubmed: 7750379
Caviola, S., Primi, C., Chiesi, F., & Mammarella, I. C. (2017). Psychometric properties of the abbreviated Math anxiety scale (AMAS) in Italian primary school children. Learning and Individual Differences, 55, 174–182. https://doi.org/10.1016/j.lindif.2017.03.006
doi: 10.1016/j.lindif.2017.03.006
Caviola, S., Toffalini, E., Giofrè, D., Ruiz, J. M., Szűcs, D., & Mammarella, I. C. (2022). Math performance and academic anxiety forms, from sociodemographic to cognitive aspects: A meta-analysis on 906,311 participants. Educational Psychology Review, 34, 363–399. https://doi.org/10.1007/s10648-021-09618-5
doi: 10.1007/s10648-021-09618-5
Chuang, S. S., Lamb, M. E., & Hwang, C. P. (2006). Personality development from childhood to adolescence: A longitudinal study of ego-control and ego-resiliency in Sweden. International Journal of Behavioral Development, 30(4), 338–343. https://doi.org/10.1177/0165025406072795
doi: 10.1177/0165025406072795
Cipora, K., Santos, F. H., Kucian, K., & Dowker, A. (2022). Mathematics anxiety—where are we and where shall we go? Annals of the New York Academy of Sciences, 1513(1), 10–20. https://doi.org/10.1111/nyas.14770
doi: 10.1111/nyas.14770 pubmed: 35322431 pmcid: 9542812
Commodari, E., & La Rosa, V. L. (2021). General academic anxiety and math anxiety in primary school. The impact of math anxiety on calculation skills. Acta Psychologica, 220, 103413. https://doi.org/10.1016/j.actpsy.2021.103413
doi: 10.1016/j.actpsy.2021.103413 pubmed: 34537471
Cornoldi, C., Mammarella, I. C., & Caviola, S. (2020). AC-MT-3. Test di valutazione delle abilità di calcolo e del ragionamento matematico. Edizioni Erickson.
Cuder, A., Živković, M., Doz, E., Pellizzoni, S., & Passolunghi, M. C. (2023). The relationship between math anxiety and math performance: The moderating role of visuospatial working memory. Journal of Experimental Child Psychology, 233, 105688. https://doi.org/10.1016/j.jecp.2023.105688
doi: 10.1016/j.jecp.2023.105688 pubmed: 37156081
De Caro, M. S., Rotar, K. E., Kendra, M. S., & Beilock, S. L. (2010). Diagnosing and alleviating the impact of performance pressure on mathematical problem solving. Quarterly Journal of Experimental Psychology, 63(8), 1619–1630. https://doi.org/10.1080/17470210903474286
doi: 10.1080/17470210903474286
de Duque, G., Gómez-Veiga, I., & García-Madruga, J. A. (2021). Arithmetic word problems revisited: Cognitive processes and academic performance in secondary school. Education Sciences, 11(4), 155. https://doi.org/10.3390/educsci11040155
doi: 10.3390/educsci11040155
Devine, A., Fawcett, K., Szűcs, D., & Dowker, A. (2012). Gender differences in mathematics anxiety and the relation to mathematics performance while controlling for test anxiety. Behavioral and Brain Functions, 8, 33. https://doi.org/10.1186/1744-9081-8-33
doi: 10.1186/1744-9081-8-33 pubmed: 22769743 pmcid: 3414752
Donolato, E., Giofrè, D., & Mammarella, I. C. (2019). Working memory, negative affect and personal assets: How do they relate to mathematics and reading literacy? PloS One, 14(6), e0218921. https://doi.org/10.1371/journal.pone.0218921
doi: 10.1371/journal.pone.0218921 pubmed: 31246987 pmcid: 6597163
Donolato, E., Toffalini, E., Giofrè, D., Caviola, S., & Mammarella, I. C. (2020). Going beyond mathematics anxiety in primary and middle school students: The role of ego-resiliency in mathematics. Mind Brain and Education, 14(3), 255–266.
doi: 10.1111/mbe.12251
Dowker, A., Sarkar, A., & Looi, C. Y. (2016). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 7, 508. https://doi.org/10.3389/fpsyg.2016.00508
doi: 10.3389/fpsyg.2016.00508 pubmed: 27199789 pmcid: 4842756
Doz, E., Cuder, A., Pellizzoni, S., Carretti, B., & Passolunghi, M. C. (2023). Arithmetic word problem-solving and Math anxiety: The role of perceived difficulty and gender. Journal of Cognition and Development, 1–19. https://doi.org/10.1080/15248372.2023.2186692
Eisenberg, N., & Morris, A. S. (2002). Children’s emotion-related regulation. In H. Reese, & R. Kail (Eds.), Advances in child development and behavior (Vol. 30, pp. 189–229). Academic.
Eisenberg, N., Fabes, R. A., Shepard, S. A., Murphy, B. C., Guthrie, I. K., Jones, S., Friedman, J., Poulin, R., & Maszk, P. (1997). Contemporaneous and longitudinal prediction of children’s social functioning from regulation and emotionality. Child Development, 68(4), 642–664. https://doi.org/10.1111/j.1467-8624.1997.tb04227.x
doi: 10.1111/j.1467-8624.1997.tb04227.x pubmed: 9306644
Eisenberg, N., Smith, C. L., & Spinrad, T. L. (2011). Effort control: Relations with emotion regulation, adjustment, and socialization in childhood. In K. D. Vohs, & R. F. Bauermeister (Eds.), Handbook of self-regulation (2nd ed., pp. 263–283). Guilford Press.
European Parliament and Council of the European Union. (2006). Key competences for lifelong learning (2006/962/EC). Official Journal of the European Union, L394, 10–18.
Eysenck, M. W., & Calvo, M. G. (1992). Anxiety and performance: The processing efficiency theory. Cognition & Emotion, 6(6), 409–434. https://doi.org/10.1080/02699939208409696
doi: 10.1080/02699939208409696
Finell, J., Sammallahti, E., Korhonen, J., Eklöf, H., & Jonsson, B. (2022). Working Memory and its mediating role on the relationship of math anxiety and math performance: A meta-analysis. Frontiers in Psychology, 12, 798090. https://doi.org/10.3389/fpsyg.2021.798090
doi: 10.3389/fpsyg.2021.798090 pubmed: 35126249 pmcid: 8811497
Fletcher, D., & Sarkar, M. (2013). Psychological resilience. European Psychologist, 18, 12–23. https://doi.org/10.1027/1016-9040/a000124
doi: 10.1027/1016-9040/a000124
Fuchs, L. S., Fuchs, D., Compton, D. L., Hamlett, C. L., & Wang, A. Y. (2015). Is Word-Problem solving a form of text comprehension? Scientific Studies of Reading, 19(3), 204–223. https://doi.org/10.1080/10888438.2015.1005745
doi: 10.1080/10888438.2015.1005745 pubmed: 25866461 pmcid: 4391820
Fuchs, L. S., Gilbert, J. K., Fuchs, D., Seethaler, P. M., & Martin, N., B (2017). Text comprehension and oral Language as predictors of Word-Problem solving: Insights into Word-Problem solving as a form of text comprehension. Scientific Studies of Reading, 22(2), 152–166. https://doi.org/10.1080/10888438.2017.1398259
doi: 10.1080/10888438.2017.1398259 pubmed: 29643723 pmcid: 5891146
Fuchs, L., Fuchs, D., Seethaler, P. M., & Barnes, M. A. (2020). Addressing the role of working memory in mathematical word-problem solving when designing intervention for struggling learners. Zdm, 52, 87–96. https://doi.org/10.1007/s11858-019-01070-8
doi: 10.1007/s11858-019-01070-8
Fung, W., & Swanson, H. L. (2017). Working memory components that predict word problem solving: Is it merely a function of reading, calculation, and fluid intelligence? Memory & Cognition, 45, 804–823. https://doi.org/10.3758/s13421-017-0697-0
doi: 10.3758/s13421-017-0697-0
Gabriel, F., Buckley, S., & Barthakur, A. (2020). The impact of mathematics anxiety on self-regulated learning and mathematical literacy. Australian Journal of Education, 64(3), 227–242. https://doi.org/10.1177/0004944120947881
doi: 10.1177/0004944120947881
Ganley, C. M., & Vasilyeva, M. (2014). The role of anxiety and working memory in gender differences in mathematics. Journal of Educational Psychology, 106(1), 105–120. https://doi.org/10.1037/a0034099
doi: 10.1037/a0034099
Gilmore, C. (2023). Understanding the complexities of mathematical cognition: A multi-level framework. Quarterly Journal of Experimental Psychology. https://doi.org/10.1177/17470218231175325
doi: 10.1177/17470218231175325
Giofrè, D., Mammarella, I. C., & Cornoldi, C. (2013). The structure of working memory and how it relates to intelligence in children. Intelligence, 41(5), 396–406. https://doi.org/10.1016/j.intell.2013.06.006
doi: 10.1016/j.intell.2013.06.006
Giofrè, D., Donolato, E., & Mammarella, I. C. (2018). The differential role of verbal and visuospatial working memory in mathematics and reading. Trends in Neuroscience and Education, 12, 1–6. https://doi.org/10.1016/j.tine.2018.07.001
doi: 10.1016/j.tine.2018.07.001
Gjerde, P. F., Block, J., & Block, J. H. (1986). Egocentrism and ego resiliency: Personality characteristics associated with perspective-taking from early childhood to adolescence. Journal of Personality and Social Psychology, 51(2), 423–434. https://doi.org/10.1037/0022-3514.51.2.423
doi: 10.1037/0022-3514.51.2.423 pubmed: 3746623
Hart, S. A., & Ganley, C. M. (2019). The nature of math anxiety in adults: Prevalence and correlates. Journal of Numerical Cognition, 5(2), 122–139. https://doi.org/10.5964/jnc.v5i2.195
doi: 10.5964/jnc.v5i2.195 pubmed: 33842689 pmcid: 8034611
Hayes, A. F. (2013). An introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis:A regression-based approach. Guilford.
Hegarty, M., Mayer, R. E., & Green, C. E. (1992). Comprehension of arithmetic word problems:Evidence from students’ eye fixations. Journal of Educational Psychology, 84(1), 76–84. https://doi.org/10.1037/0022-0663.84.1.76
doi: 10.1037/0022-0663.84.1.76
Hembree, R. (1990). The nature, effects, and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33–46. https://doi.org/10.5951/jresematheduc.21.1.0033
doi: 10.5951/jresematheduc.21.1.0033
Holmlund, T. D., Lesseig, K., & Slavit, D. (2018). Making sense of STEM education in K-12 contexts. International Journal of STEM Education, 5, 1–18.
doi: 10.1186/s40594-018-0127-2
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. https://doi.org/10.1177/1073191103010002008
doi: 10.1177/1073191103010002008 pubmed: 12801189
HueyJr, S. J., & Weisz, J. R. (1997). Ego control, Ego resiliency, and the five-factor model as predictors of behavioral and emotional problems in clinic-referred children and adolescents. Journal of Abnormal Psychology, 106(3), 404–415. https://doi.org/10.1037/0021-843X.106.3.404
doi: 10.1037/0021-843X.106.3.404 pubmed: 9241942
Jablonka, E., & Gellert, U. (2007). Mathematisation–demathematisation. In U. Gellert & E. Jablonka (Eds.), Mathematisation and Demathematisation (pp. 1–18). Brill. https://doi.org/10.1163/9789460911439_002
Justicia-Galiano, M. J., Martín‐Puga, M. E., Linares, R., & Pelegrina, S. (2017). Math anxiety and math performance in children: The mediating roles of working memory and math self‐concept. British Journal of Educational Psychology, 87(4), 573–589. https://doi.org/10.1111/bjep.12165
doi: 10.1111/bjep.12165 pubmed: 28561304
Karande, S., Gogtay, N. J., Bala, N., Sant, H., Thakkar, A., & Sholapurwala, R. (2018). Anxiety symptoms in regular school students in Mumbai City, India. Journal of Postgraduate Medicine, 64(2), 92–97.
doi: 10.4103/jpgm.JPGM_445_17 pubmed: 29692400 pmcid: 5954820
Kazelskis, R., Reeves, C., Kersh, M. E., Bailey, G., Cole, K., Larmon, M., Hall, L., & Holliday, D. C. (2000). Mathematics anxiety and test anxiety: Separate constructs? The Journal of Experimental Education, 68(2), 137–146. https://doi.org/10.1080/00220970009598499
doi: 10.1080/00220970009598499
Korem, N., Cohen, L. D., & Rubinsten, O. (2022). The link between math anxiety and performance does not depend on working memory: A network analysis study. Consciousness and Cognition, 100, 103298. https://doi.org/10.1016/j.concog.2022.103298
doi: 10.1016/j.concog.2022.103298 pubmed: 35217396
Kucian, K., & von Aster, M. (2015). Developmental dyscalculia. European Journal of Pediatrics, 174, 1–13. https://doi.org/10.1007/s00431-014-2455-7
doi: 10.1007/s00431-014-2455-7 pubmed: 25529864
Kwok, O. M., Hughes, J. N., & Luo, W. (2007). Role of resilient personality on lower achieving first grade students’ current and future achievement. Journal of School Psychology, 45(1), 61–82. https://doi.org/10.1016/j.jsp.2006.07.002
doi: 10.1016/j.jsp.2006.07.002 pubmed: 18084626 pmcid: 2140003
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, 77–94. https://doi.org/10.1007/BF03173141
Lee, C., & Johnston-Wilder, S. (2017). Chapter 10—The Construct of Mathematical Resilience. In U. X. Eligio (Ed.), Understanding Emotions in Mathematical Thinking and Learning (pp. 269–291). Academic Press. https://doi.org/10.1016/B978-0-12-802218-4.00010-8
Lee, K., Ng, S. F., Ng, E. L., & Lim, Z. Y. (2004). Working memory and literacy as predictors of performance on algebraic word problems. Journal of Experimental Child Psychology, 89(2), 140–158. https://doi.org/10.1016/j.jecp.2004.07.001
doi: 10.1016/j.jecp.2004.07.001 pubmed: 15388303
Lee, K., Ng, E. L., & Ng, S. F. (2009). The contributions of working memory and executive functioning to problem representation and solution generation in algebraic word problems. Journal of Educational Psychology, 101(2), 373–387. https://doi.org/10.1037/a0013843
doi: 10.1037/a0013843
Lewis, A. B. (1989). Training students to represent arithmetic word problems. Journal of Educational Psychology, 81(4), 521–531. https://doi.org/10.1037/0022-0663.81.4.521
doi: 10.1037/0022-0663.81.4.521
Li, Y., & Geary, D. C. (2013). Developmental gains in visuospatial memory predict gains in mathematics achievement. PLoS One, 8(7), e70160. https://doi.org/10.1371/journal.pone.0070160
doi: 10.1371/journal.pone.0070160 pubmed: 23936154 pmcid: 3729464
Liang, Z., Dong, P., Zhou, Y., Feng, S., & Zhang, Q. (2022). Whether verbal and visuospatial working memory play different roles in pupil’s mathematical abilities. British Journal of Educational Psychology, 92(2), 12454. https://doi.org/10.1111/bjep.12454
doi: 10.1111/bjep.12454
Lin, X. (2021). Investigating the unique predictors of Word-Problem solving using Meta-Analytic Structural equation modeling. Educational Psychology Review, 33, 1097–1124. https://doi.org/10.1007/s10648-020-09554-w
doi: 10.1007/s10648-020-09554-w
Luttenberger, S., Wimmer, S., & Paechter, M. (2018). Spotlight on math anxiety. Psychology Research and Behavior Management, 11, 311–322. https://doi.org/10.2147/PRBM.S141421
doi: 10.2147/PRBM.S141421 pubmed: 30123014 pmcid: 6087017
Mammarella, I. C., Pazzaglia, F., & Cornoldi, C. (2008). Evidence for different components in children’s visuospatial working memory. British Journal of Developmental Psychology, 26(3), 337–355.
doi: 10.1348/026151007X236061
Mammarella, I. C., Donolato, E., Caviola, S., & Giofrè, D. (2018). Anxiety profiles and protective factors: A latent profile analysis in children. Personality and Individual Differences, 124, 201–208. https://doi.org/10.1016/j.paid.2017.12.017
doi: 10.1016/j.paid.2017.12.017
Martin, A. J., & Marsh, H. W. (2006). Academic resilience and its psychological and educational correlates: A construct validity approach. Psychology in the Schools, 43(3), 267–281. https://doi.org/10.1002/pits.20149
doi: 10.1002/pits.20149
Masten, A. S. (2001). Ordinary magic: Resilience processes in development. American Psychologist, 56(3), 227–238. https://doi.org/10.1037/0003-066X.56.3.227
doi: 10.1037/0003-066X.56.3.227 pubmed: 11315249
Mayer, R. E., & Hegarty, M. (1996). The process of understanding mathematics problems. In R. J. Sternberg, & T. Ben-Zeev (Eds.), The nature of mathematical thinking (pp. 29–53). Lawrence Erlbaum.
Miller, H., & Bichsel, J. (2004). Anxiety, working memory, gender, and math performance. Personality and Individual Differences, 37(3), 591–606. https://doi.org/10.1016/j.paid.2003.09.029
doi: 10.1016/j.paid.2003.09.029
Organization for Economic Cooperation and Development. (2013). ). PISA 2012 assessment and analytical framework: Mathematics, reading, science, problem solving and financial literacy. OECD Publishing.
Passolunghi, M. C., Cargnelutti, E., & Pellizzoni, S. (2019). The relation between cognitive and emotional factors and arithmetic problem-solving. Educational Studies in Mathematics, 100, 271–290. https://doi.org/10.1007/s10649-018-9863-y
doi: 10.1007/s10649-018-9863-y
Passolunghi, M. C., De Vita, C., & Pellizzoni, S. (2020). Math anxiety and math achievement: The effects of emotional and math strategy training. Developmental Science, 23(6), e12964. https://doi.org/10.1111/desc.12964
doi: 10.1111/desc.12964 pubmed: 32159906
Passolunghi, M. C., De Blas, G. D., Carretti, B., Gomez-Veiga, I., Doz, E., & Garcia-Madruga, J. A. (2022). The role of working memory updating, inhibition, fluid intelligence, and reading comprehension in explaining differences between consistent and inconsistent arithmetic word-problem-solving performance. Journal of Experimental Child Psychology, 224, 105512. https://doi.org/10.1016/j.jecp.2022.105512
doi: 10.1016/j.jecp.2022.105512 pubmed: 35901670
Pekrun, R., Marsh, H. W., Suessenbach, F., Frenzel, A. C., & Goetz, T. (2023). School grades and students’ emotions: Longitudinal models of within-person reciprocal effects. Learning and Instruction, 83, 101626.
doi: 10.1016/j.learninstruc.2022.101626
Pellizzoni, S., Cargnelutti, E., Cuder, A., & Passolunghi, M. C. (2022). The interplay between math anxiety and working memory on math performance: A longitudinal study. Annals of the New York Academy of Sciences, 1510(1), 132–144. https://doi.org/10.1111/nyas.14722
doi: 10.1111/nyas.14722 pubmed: 34951707
Peng, P., Namkung, J., Barnes, M., & Sun, C. (2016). A meta-analysis of mathematics and working memory: Moderating effects of working memory domain, type of mathematics skill, and sample characteristics. Journal of Educational Psychology, 108(4), 455–473. https://doi.org/10.1037/edu0000079
doi: 10.1037/edu0000079
Pina, V., Fuentes, L. J., Castillo, A., & Diamantopoulou, S. (2014). Disentangling the effects of working memory, language, parental education, and non-verbal intelligence on children’s mathematical abilities. Frontiers in Psychology, 5, 87761. https://doi.org/10.3389/fpsyg.2014.00415
doi: 10.3389/fpsyg.2014.00415
Putwain, D. W., Nicholson, L. J., Connors, L., & Woods, K. (2013). Resilient children are less test anxious and perform better in tests at the end of primary schooling. Learning and Individual Differences, 28, 41–46. https://doi.org/10.1016/j.lindif.2013.09.010
doi: 10.1016/j.lindif.2013.09.010
R Core Team. (2020). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing.
Ramirez, G., Gunderson, E. A., Levine, S. C., & Beilock, S. L. (2013). Math anxiety, working memory, and math achievement in early elementary school. Journal of Cognition and Development, 14(2), 187–202. https://doi.org/10.1080/15248372.2012.664593
doi: 10.1080/15248372.2012.664593
Reynolds, C. R., Richmond, B. O., Sella, F., Scozzari, S., & Di Pietro, M. (2012). Revised Children’s Manifest Anxiety Scale 2nd edition: Manuale Giunti OS.
Richardson, F. C., & Suinn, R. M. (1972). The mathematics anxiety rating scale: Psychometric data. Journal of Counseling Psychology, 19(6), 551–554.
doi: 10.1037/h0033456
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
doi: 10.1080/10668926.2019.1666063
Skagerlund, K., Östergren, R., Västfjäll, D., & Träff, U. (2019). How does mathematics anxiety impair mathematical abilities? Investigating the link between math anxiety, working memory, and number processing. PloS One, 14(1), e0211283. https://doi.org/10.1371/journal.pone.0211283
doi: 10.1371/journal.pone.0211283 pubmed: 30682125 pmcid: 6347150
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. https://doi.org/10.3389/fpsyg.2019.00089
doi: 10.3389/fpsyg.2019.00089 pubmed: 30766500 pmcid: 6365936
Sorvo, R., Koponen, T., Viholainen, H., Aro, T., Räikkönen, E., Peura, P., Tolvanen, A., & Aro, M. (2019). Development of math anxiety and its longitudinal relationships with arithmetic achievement among primary school children. Learning and Individual Differences, 69, 173–181. https://doi.org/10.1016/j.lindif.2018.12.005
doi: 10.1016/j.lindif.2018.12.005
Szczygiel, M. (2020). Gender, general anxiety, math anxiety and math achievement in early school-age children. Issues in Educational Research, 30(3), 1126–1142.
Szczygieł, M. (2021). The relationship between math anxiety and math achievement in young children is mediated through working memory, not by number sense, and it is not direct. Contemporary Educational Psychology, 65, 101949. https://doi.org/10.1016/j.cedpsych.2021.101949
doi: 10.1016/j.cedpsych.2021.101949
Szűcs, D., Devine, A., Soltesz, F., Nobes, A., & Gabriel, F. (2014). Cognitive components of a mathematical processing network in 9-year-old children. Developmental Science, 17(4), 506–524. https://doi.org/10.1111/desc.12144
doi: 10.1111/desc.12144 pubmed: 25089322 pmcid: 4253132
Tellegen, A. (1985). Structures of mood and personality and their relevance to assessing anxiety, with an emphasis on self-report. In A. H. T. J. D. Maser (Ed.), Anxiety and the anxiety disorders (pp. 681–706). Lawrence Erlbaum.
Verschaffel, L., Greer, B., & De Corte, E. (2000). Making sense of word problems. Swets &Zeitlinger.
Wang, S., Allen, R. J., Lee, J. R., & Hsieh, C. E. (2015). Evaluating the developmental trajectory of the episodic buffer component of working memory and its relation to word recognition in children. Journal of Experimental Child Psychology, 133, 16–28. https://doi.org/10.1016/j.jecp.2015.01.002
doi: 10.1016/j.jecp.2015.01.002 pubmed: 25725456
Wu, S. S., Chen, L., Battista, C., Watts, A. K. S., Willcutt, E. G., & Menon, V. (2017). Distinct influences of affective and cognitive factors on children’s non-verbal and verbal mathematical abilities. Cognition, 166, 118–129. https://doi.org/10.1016/j.cognition.2017.05.016
doi: 10.1016/j.cognition.2017.05.016 pubmed: 28558312 pmcid: 6342282
Yu, Y., Hua, L., Feng, X., Wang, Y., Yu, Z., Zi, T., & Li, J. (2021). True grit in learning math: The math anxiety-achievement link is mediated by math-specific grit. Frontiers in Psychology, 12, 645793. https://doi.org/10.3389/fpsyg.2021.645793
doi: 10.3389/fpsyg.2021.645793 pubmed: 33889116 pmcid: 8055855
Zhang, J., Zhao, N., & Kong, Q. P. (2019). The relationship between math anxiety and math performance: A meta-analytic investigation. Frontiers in Psychology, 10, 1613. https://doi.org/10.3389/fpsyg.2019.01613
doi: 10.3389/fpsyg.2019.01613 pubmed: 31447719 pmcid: 6692457
Zheng, X., Swanson, H. L., & Marcoulides, G. A. (2011). Working memory components as predictors of children’s mathematical word problem solving. Journal of Experimental Child Psychology, 110(4), 481–498. https://doi.org/10.1016/j.jecp.2011.06.001
doi: 10.1016/j.jecp.2011.06.001 pubmed: 21782198
Živković, M., Pellizzoni, S., Mammarella, I. C., & Passolunghi, M. C. (2023). The relationship between math anxiety and arithmetic reasoning: The mediating role of working memory and self-competence. Current Psychology, 42, 14506–14516. https://doi.org/10.1007/s12144-022-02765-0
doi: 10.1007/s12144-022-02765-0

Auteurs

Eleonora Doz (E)

Department of Life Sciences, University of Trieste, via Weiss 21 (Building W), Trieste, 34128, Italy.

Alessandro Cuder (A)

Department of Life Sciences, University of Trieste, via Weiss 21 (Building W), Trieste, 34128, Italy.

Sandra Pellizzoni (S)

Department of Life Sciences, University of Trieste, via Weiss 21 (Building W), Trieste, 34128, Italy.

Federica Granello (F)

Department of Life Sciences, University of Trieste, via Weiss 21 (Building W), Trieste, 34128, Italy.

Maria Chiara Passolunghi (MC)

Department of Life Sciences, University of Trieste, via Weiss 21 (Building W), Trieste, 34128, Italy. passolu@units.it.

Classifications MeSH