Behavioral Executive Functions Among Adolescents With Mathematics Difficulties

Abstract

This study investigates behavioral executive functions (EFs) in the mathematics classroom context among adolescents with different mathematics performance levels. The EF problems were assessed by teachers using a behavioral rating inventory. Using cutoff scores on a standardized mathematics assessment, groups with mathematics difficulties (MD; n = 124), low mathematics performance (LA; n = 140), and average or higher scores (AC; n = 355) were identified. Results showed that the MD group had more problems with distractibility, directing attention, shifting attention, initiative, execution of action, planning, and evaluation than the LA group, whereas the differences in hyperactivity, impulsivity, and sustaining attention were not significant. Compared to the AC group, the MD group showed more problems with all behavioral EFs except hyperactivity and impulsivity, while the LA group showed more problems only with shifting attention. Male adolescents showed more behavioral EF problems than female adolescents, but this gender difference was negligible within the MD group. The practical implications of the results are discussed.

Keywords

adolescents behavioral executive functions mathematics difficulties

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References

Archambault

Janosz

Morizot

Pagani

(2009). Adolescent behavioral, affective, and cognitive engagement in school: Relationship to dropout. Journal of School Health, 79, 408–415. doi:10.1111/j.1746-1561.2009.00428.x

Barkley

R. A.

(1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121, 65–94. doi:10.1037/0033-2909.121.1.65

Cai

Q. W.

Deng

C. P.

(2013). Cognitive processing characteristics of 6th to 8th grade Chinese students with mathematics learning disability: Relationships among working memory, PASS processes, and processing speed. Learning & Individual Differences, 27, 120–127. doi:10.1016/j.lindif.2013.07.008

Clark

C. A.

Pritchard

V. E.

Woodward

L. J.

(2010). Preschool executive functioning abilities predict early mathematics achievement. Developmental Psychology, 46, 1176–1191. doi:10.1037/a0019672

Cleary

T. J.

Chen

P. P.

(2009). Self-regulation, motivation, and math achievement in middle school: Variations across grade level and math context. Journal of School Psychology, 47, 291–314. doi:10.1016/j.jsp.2009.04.002

Cohen

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

Desoete

(2009). Mathematics and metacognition in adolescents and adults with learning disabilities. International Electronic Journal of Elementary Education, 2(1), 82–100. Retrieved from http://www.iejee.com/

Dobbs

Doctoroff

G. L.

Fisher

P. H.

Arnold

D. H.

(2006). The association between preschool children’s socio-emotional functioning and their mathematical skills. Journal of Applied Developmental Psychology, 27, 97–108. doi:10.1016/j.appdev.2005.12.008

Kou

Coghill

(2008). The validity, reliability and normative scores of the parent, teacher and self-report versions of the Strengths and Difficulties Questionnaire in China. Child and Adolescent Psychiatry and Mental Health, 2, 1–15. doi:10.1186/1753-2000-2-8

10.

Dulaney

Vasilyeva

O’Dwyer

(2015). Individual differences in cognitive resources and elementary school mathematics achievement: Examining the roles of storage and attention. Learning & Individual Differences, 37, 55–63. doi:10.1016/j.lindif.2014.11.008

11.

DuPaul

G. J.

Power

T. J.

Anastopoulos

A. D.

Reid

(1998). ADHD Rating Scale–IV: Checklists, norms, and clinical interpretation. New York, NY: Guilford Press.

12.

Eccles

J. S.

(1999). The development of children ages 6 to 14. The Future of Children, 9(2), 30–44. Retrieved from https://www.princeton.edu/futureofchildren/index.xml

13.

Finn

J. D.

Pannozzo

G. M.

Voelkl

K. E.

(1995). Disruptive and inattentive withdrawn behavior and achievement among fourth graders. Elementary School Journal, 95, 421–434. doi:10.1086/461853

14.

Fuchs

L. S.

Fuchs

Compton

D. L.

Powell

S. R.

Seethaler

P. M.

Capizzi

A. M.

. . . Fletcher

J. M.

(2006). The cognitive correlates of third-grade skill in arithmetic, algorithmic computation, and arithmetic word problems. Journal of Educational Psychology, 98, 29–43. doi:10.1037/0022-0663.98.1.29

15.

Garcia-Barrera

M. A.

Kamphaus

R. W.

Bandalos

(2011). Theoretical and statistical derivation of a screener for the behavioral assessment of executive functions in children. Psychological Assessment, 23, 64–79. doi:10.1037/a0021097

16.

Geary

D. C.

Hoard

M. K.

Nugent

Byrd-Craven

(2008). Development of number line representations in children with mathematical learning disability. Developmental Neuropsychology, 33, 277–299. doi:10.1080/87565640801982361

17.

Gilmore

Cragg

(2014). Teachers’ understanding of the role of executive functions in mathematics learning. Mind, Brain & Education, 8, 132–136. doi:10.1111/mbe.12050

18.

Gilmore

Keeble

Richardson

Cragg

(2015). The role of cognitive inhibition in different components of arithmetic. ZDM Mathematics Education, 47, 771–782. doi:10.1007/s11858-014-0659-y

19.

Gioia

G. A.

Isquith

P. K.

(2004). Ecological assessment of executive function in traumatic brain injury. Developmental Neuropsychology, 25, 135–158. doi:10.1080/87565641.2004.9651925

20.

Hakkarainen

A. M.

Holopainen

L. K.

Savolainen

H. K.

(2015). A five-year follow-up on the role of educational support in preventing dropout from upper secondary education in Finland. Journal of Learning Disabilities, 48, 408–421. doi:10.1177/0022219413507603

21.

Holm

M. E.

Hannula

M. S.

Björn

P. M.

(2017). Mathematics-related emotions among Finnish adolescents across different performance levels. Educational Psychology, 37, 205–218. doi:10.1080/01443410.2016.1152354

22.

Huizinga

Smidts

D. P.

(2011). Age-related changes in executive function: A normative study with the Dutch version of the Behavior Rating Inventory of Executive Function (BRIEF). Child Neuropsychology, 17, 51–66. doi:10.1080/09297049.2010.509715

23.

Jurado

M. B.

Rosselli

(2007). The elusive nature of executive functions: A review of our current understanding. Neuropsychology Review, 17, 213–233. doi:10.1007/s11065-007-9040-z

24.

Kenney-Benson

G. A.

Pomerantz

E. M.

Ryan

A. M.

Patrick

(2006). Sex differences in math performance: The role of children’s approach to schoolwork. Developmental Psychology, 42, 11–26. doi:10.1037/0012-1649.42.1.11

25.

Klenberg

Jämsä

Häyrinen

Lahti-Nuuttila

Korkman

(2010). The Attention and Executive Function Rating Inventory (ATTEX): Psychometric properties and clinical utility in diagnosing ADHD subtypes. Scandinavian Journal of Psychology, 51, 439–448. doi:10.1111/j.1467-9450.2010.00812.x

26.

Kotsopoulos

Lee

(2012). A naturalistic study of executive function and mathematical problem-solving. Journal of Mathematical Behavior, 31, 196–208. doi:10.1016/j.jmathb.2011.12.005

27.

Kroesbergen

E. H.

Van Luit

J. E. H.

Naglieri

J. A.

(2003). Mathematical learning difficulties and PASS cognitive processes. Journal of Learning Disabilities, 36(6), 574–582. Retrieved from http://journals.sagepub.com/home/ldx#

28.

Kupiainen

Hautamäki

Karjalainen

(2009). The Finnish education system and PISA. Helsinki, Finland: Ministry of Education. Retrieved from http://www.oxydiane.net/IMG/pdf_opm46.pdf

29.

Kyttälä

(2008). Visuospatial working memory in adolescents with poor performance in mathematics: Variation depending on reading skills. Educational Psychology, 28, 273–289. doi:10.1080/01443410701532305

30.

Lehto

J. E.

Juujarvi

Kooistra

Pulkkinen

(2003). Dimensions of executive functioning: Evidence from children. British Journal of Developmental Psychology, 21, 59–80. doi:10.1348/026151003321164627

31.

Martin

R. B.

Cirino

P. T.

Barnes

M. A.

Ewing-Cobbs

Fuchs

L. S.

Stuebing

K. K.

Fletcher

J. M.

(2012). Prediction and stability of mathematics skill and difficulty. Journal of Learning Disabilities, 46, 428–443. doi:10.1177/0022219411436214

32.

Mazzocco

M. M. M.

(2008). Introduction: Mathematics ability, performance, and achievement. Developmental Neuropsychology, 33, 197–204. doi:10.1080/87565640801982270

33.

Mazzocco

M. M. M.

Devlin

K. T.

(2008). Parts and “holes”: Gaps in rational number sense among children with vs. without mathematical learning disabilities. Developmental Science, 11, 681–691. doi:10.1111/j.1467-7687.2008.00717.x

34.

Mazzocco

M. M.

Feigenson

Halberda

. (2011). Impaired acuity of the approximate number system underlies mathematical learning disability (dyscalculia). Child Development, 82, 1224–1237. doi:10.1111/j.1467-8624.2011.01608.x

35.

McCoach

D. B.

Gable

R. K.

Madura

J. P.

(2013). Instrument development in the affective domain. New York, NY: Springer. doi:10.1007/978-1-4614-7135-6

36.

McGlaughlin

S. M.

Knoop

A. J.

Holliday

G. A.

(2005). Differentiating students with mathematics difficulty in college: Mathematics disabilities vs. no diagnosis. Learning Disability Quarterly, 28, 223–232. doi:10.2307/1593660

37.

McLean

J. F.

Hitch

G. J.

(1999). Working memory impairments in children with specific arithmetic learning difficulties. Journal of Experimental Child Psychology, 74, 240–260. doi:10.1006/JECP.1999.2516

38.

Merrell

Tymms

P. B.

(2001). Inattention, hyperactivity and impulsiveness: Their impact on academic achievement and progress. British Journal of Educational Psychology, 71, 43–56. doi:10.1348/000709901158389

39.

Mirsky

A. F.

Pascualvaca

D. M.

Duncan

C. C.

French

L. M.

(1999). A model of attention and its relation to ADHD. Mental Retardation & Developmental Disabilities Research Reviews, 5, 169–176. doi:10.1002/(SICI)1098-2779(1999)5:3<169::AID-MRDD2>3.0

40.

Miyake

Friedman

N. P.

Emerson

M. J.

Witzki

A. H.

Howerter

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, 49–100. doi:10.1006/cogp.1999.0734

41.

Mooney

Ryan

J. B.

Uhing

B. M.

Reid

Epstein

M. H.

(2005). A review of self-management interventions targeting academic outcomes for students with emotional and behavioral disorders. Journal of Behavioral Education, 14, 203–221. doi:10.1007/s10864-005-6298-1

42.

Naglieri

J. A.

Gottling

S. H.

(1997). Mathematics instruction and PASS cognitive processes: An intervention study. Journal of Learning Disabilities, 30, 513–520. doi:10.1177/002221949703000507

43.

Naglieri

J. A.

Rojahn

(2001). Gender differences in planning, attention, simultaneous, and successive (PASS) cognitive processes and achievement. Journal of Educational Psychology, 93, 430–438. doi:10.1037/0022-0663.93.2.430

44.

National Advisory Board on Research Ethics. (2009). Ethical principles of research in the humanities and social and behavioural sciences and proposals for ethical review. Helsinki, Finland: Author. Retrieved from http://www.tenk.fi/sites/tenk.fi/files/ethicalprinciples.pdf

45.

Passolunghi

M. C.

Mammarella

I. C.

(2012). Selective spatial working memory impairment in a group of children with mathematics learning disabilities and poor problem-solving skills. Journal of Learning Disabilities, 45, 341–350. doi:10.1177/0022219411400746

46.

Peng

Congying

Beilei

Sha

(2012). Phonological storage and executive function deficits in children with mathematics difficulties. Journal of Experimental Child Psychology, 112, 452–466. doi:10.1016/j.jecp.2012.04.004

47.

Raghubar

Cirino

Barnes

Ewing-Cobbs

Fletcher

Fuchs

(2009). Errors in multi-digit arithmetic and behavioral inattention in children with math difficulties. Journal of Learning Disabilities, 42, 356–371. doi:10.1177/0022219409335211

48.

Reimann

Gut

Frischknecht

M.-C.

Grob

(2013). Memory abilities in children with mathematical difficulties: Comorbid language difficulties matter. Learning & Individual Differences, 23, 108–113. doi:10.1016/j.lindif.2012.10.017

49.

Räsänen

Leino

(2005). KTLT–Laskutaidon testi luokka-asteille 7–9 [KTLT–The test for mathematical skills for Grades 7–9]. Jyväskylä, Finland: Niilo Mäki Instituutti.

50.

Siegler

R. S.

Pyke

A. A.

(2013). Developmental and individual differences in understanding of fractions. Developmental Psychology, 49, 1994–2004. doi:10.1037/a0031200

51.

Sims

D. M.

Purpura

D. J.

Lonigan

C. J.

(2016). The relation between inattentive and hyperactive/impulsive behaviors and early mathematics skills. Journal of Attention Disorders, 20, 704–714. doi:10.1177/1087054712464390

52.

Sussman

Tasso

A. F.

(2013). The Mesulam Continuous Performance Test (M-CPT): Age-related and gender differences in the sustained attention of elementary school children. New School Psychology Bulletin, 10(2), 1–13. Retrieved from http://www.nspb.net/index.php/nspb

53.

Swanson

H. L.

(2012). Cognitive profile of adolescents with math disabilities: Are the profiles different from those with reading disabilities? Child Neuropsychology, 18, 125–143. doi:10.1080/09297049.2011.589377

54.

Szücs

Devine

Soltesz

Nobes

Gabriel

(2013). Developmental dyscalculia is related to visuo-spatial memory and inhibition impairment. Cortex, 49, 2674–2688. doi:10.1016/j.cortex.2013.06.007

55.

Toll

S. W. M.

Van der Ven

S. H. G.

Kroesbergen

E. H.

Van Luit

J. E. H.

(2011). Executive functions as predictors of math learning disabilities. Journal of Learning Disabilities, 44, 521–532. doi:10.1177/0022219410387302

56.

van der Sluis

de Jong

P. F.

van der Leij

. (2004). Inhibition and shifting in children with learning deficits in arithmetic and reading. Journal of Experimental Child Psychology, 87, 239–266. doi:10.1016/j.jecp.2003.12.002

57.

Willcutt

E. G.

Pennington

B. F.

(2000). Psychiatric comorbidity in children and adolescents with reading disability. Journal of Child Psychology & Psychiatry, 41, 1039–1048. doi:10.1111/1469-7610.00691

58.

Wong

T. T.-Y.

C. S.-H.

Tang

(2017). Defective number sense or impaired access? Differential impairments in different subgroups of children with mathematics difficulties. Journal of Learning Disabilities, 50, 49–61. doi:10.1177/0022219415588851

59.

S. S.

Willcutt

E. G.

Escovar

Menon

(2014). Mathematics achievement and anxiety and their relation to internalizing and externalizing behaviors. Journal of Learning Disabilities, 47, 503–514. doi:10.1177/0022219412473154