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Anxiety, academic achievement, and academic self-concept: Meta-analytic syntheses of their relations across developmental periods

Published online by Cambridge University Press:  02 May 2022

Laura E. Brumariu Open the ORCID record for Laura E. Brumariu [Opens in a new window] ,
Stephanie M. Waslin ,
Marissa Gastelle ,
Logan B. Kochendorfer  and
Kathryn A. Kerns Open the ORCID record for Kathryn A. Kerns [Opens in a new window]
Laura E. Brumariu*
Affiliation:
Gordon F. Derner School of Psychology, Adelphi University, Garden City, NY, USA
Stephanie M. Waslin
Affiliation:
Gordon F. Derner School of Psychology, Adelphi University, Garden City, NY, USA
Marissa Gastelle
Affiliation:
Department of Psychological Sciences, Kent State University, Kent, OH, USA
Logan B. Kochendorfer
Affiliation:
Department of Psychological Sciences, Kent State University, Kent, OH, USA
Kathryn A. Kerns
Affiliation:
Department of Psychological Sciences, Kent State University, Kent, OH, USA
*
Corresponding author: Laura E. Brumariu, email: lbrumariu@adelphi.edu
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Abstract

This systematic review examined how anxiety symptoms and anxiety disorders relate to academic achievement, school dropout, and academic self-concept. Studies with children or adult samples were included in seven meta-analyses (ks for number of samples ranged from 5 to 156; N’s for participants ranged from 780 to 37, 203). Results revealed significant but very small effect sizes for the relations between anxiety and overall academic achievement (r = −.06), language achievement (r = −.07), and math achievement (r = −.09), and a nonsignificant effect size for science achievement (r = −.01). Participants with greater anxiety were also significantly more likely to not complete high school (r = .11). They also had a poorer overall academic self-concept (r = −.25) and mathematics self-concept (r = −.30). Few methodological moderators (e.g., study design, age) were significant. Results show that anxiety does not strongly hinder academic achievement, but it is an important correlate of dropout and academic self-concept, which in turn could contribute to poorer life outcomes. Interventions and preventive programs need to consider ways to ameliorate the relations of anxiety with academic outcomes, especially school continuation and academic self-concept. Future studies should identify risk factors that may amplify these relations.

Keywords

academic achievementacademic self-conceptanxietyschool dropout

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Type
Regular Article
Information
Development and Psychopathology , Volume 35 , Issue 4 , October 2023 , pp. 1597 - 1613
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© The Author(s), 2022. Published by Cambridge University Press

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References

Abelson, R. P. (1985). A variance explanation paradox: When a little is a lot. Psychological Bulletin, 97, 129–133. https://doi.org/10.1037/0033-2909.97.1.129 CrossRefGoogle Scholar
Albano, A. M., Chorpita, B. F., & Barlow, D. H. (2003). Childhood anxiety disorders. In Mash, E. J., & Barkley, R. A. (Eds.), Child psychopathology (pp. 279–329). Guilford Press.Google Scholar
American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub. https://doi.org/10.1176/appi.books.9780890425596 Google Scholar
Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman and Company.Google Scholar
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Multifaceted impact of self-efficacy beliefs on academic functioning. Child Development, 67(3), 1206–1222. https://doi.org/10.2307/1131888 CrossRefGoogle ScholarPubMed
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), 134–168. https://doi.org/10.1037/bul0000307 CrossRefGoogle ScholarPubMed
Beesdo, K., Knappe, S., & Pine, D. S. (2009). Anxiety and anxiety disorders in children and adolescents: Developmental issues and implications for DSM-V. Psychiatric Clinics of North America, 32(3), 483–524. https://doi.org/10.1016/j.psc.2009.06.002 CrossRefGoogle ScholarPubMed
Bell-Dolan, D. J., Last, C. G., & Strauss, C. C. (1990). Symptoms of anxiety disorders in normal children. Journal of the American Academy of Child & Adolescent Psychiatry, 29(5), 759–765. https://doi.org/10.1097/00004583-199009000-00014 CrossRefGoogle ScholarPubMed
Bong, M. (2001). Between- and within-domain relations of academic motivation among middle and high school students: Self-efficacy, task-value and achievement goals. Journal of Educational Psychology, 93(1), 23–34. https://doi.org/10.1037/0022-0663.93.1.23 CrossRefGoogle Scholar
Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15(1), 1–40. https://doi.org/10.1023/A:1021302408382 CrossRefGoogle Scholar
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Wiley, Ltd. https://doi.org/10.1002/9780470743386 CrossRefGoogle Scholar
Borenstein, M., Rothstein, D., & Cohen, J. (2005). Comprehensive meta- analysis: A computer program for research synthesis (Version 2.0) [Computer software]. Biostat.Google Scholar
Bornstein, M. H., Hahn, C.-S., & Suwalsky, J. T. (2013). Language and internalizing and externalizing behavioral adjustment: Developmental pathways from childhood to adolescence. Development and Psychopathology, 25(3), 857–878. https://doi.org/10.1017/s0954579413000217 CrossRefGoogle ScholarPubMed
Brumariu, L. E., Kerns, K. A., & Seibert, A. (2012). Mother-child attachment, emotion regulation, and anxiety symptoms in middle childhood. Personal Relationships, 19, 569–585. https://doi.org/10.1111/j.1475-6811.2011.01379.x CrossRefGoogle Scholar
Bücker, S., Nuraydin, S., Simonsmeier, B. A., Schneider, M., & Luhmann, M. (2018). Subjective well-being and academic achievement: A meta-analysis. Journal of Research in Personality, 74, 83–94. https://doi.org/10.1016/j.jrp.2018.02.007 CrossRefGoogle Scholar
Camacho-Morles, J., Slemp, G. R., Pekrun, R., Loderer, K., Hou, H., & Oades, L. G. (2021). Activity achievement emotions and academic performance: A meta-analysis. Educational Psychology Review, https://doi.org/10.1007/s10648-020-09585-3 CrossRefGoogle Scholar
Carey, E., Devine, A., Hill, F., & Szűcs, D. (2017). Differentiating anxiety forms and their role in academic performance from primary to secondary school. PLOS ONE, 12(3), e0174418. https://doi.org/10.1371/journal.pone.0174418 CrossRefGoogle ScholarPubMed
Caviola, S., Toffalini, E., Giofrè, D., Ruiz, J. M., Szűcs, D., & Mammarella, I. C. (2021). 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 CrossRefGoogle Scholar
Chiu, K., Clark, D. M., & Leigh, E. (2021). Prospective associations between peer functioning and social anxiety in adolescents: A systematic review and meta-analysis. Journal of Affective Disorders, 279, 650–661. https://doi.org/10.1016/j.jad.2020.10.055 CrossRefGoogle ScholarPubMed
Chorpita, B. F., & Barlow, D. H. (1998). The development of anxiety: The role of control in the early environment. Psychological Bulletin, 124(1), 3–21. https://doi.org/10.1037/0033-2909.124.1.3 CrossRefGoogle ScholarPubMed
Cicchetti, D., & Rogosch, F. A. (1996). Equifinality and multifinality in developmental psychopathology. Development and Psychopathology, 8(4), 597–600. https://doi.org/10.1017/S0954579400007318 CrossRefGoogle Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.Google Scholar
Craske, M. G., Stein, M. B., Eley, T. C., Milad, M. R., Holmes, A., Rapee, R. M., & Wittchen, H. U. (2017). Anxiety disorders. Nature Reviews Disease Primers, 3, 17024. https://doi.org/10.1038/nrdp.2017.24 CrossRefGoogle ScholarPubMed
de Brey, C., Musu, L., McFarland, J., Wilkinson-Flicker, S., Diliberti, M., Zhang, A., Branstetter, C., & Wang, X. (2019). Status and trends in the education of racial and ethnic groups 2018. U.S. Department of Education, National Center for Education Statistics. https://nces.ed.gov/pubs2019/2019038.pdf Google Scholar
de Lijster, J. M., Dieleman, G. C., Utens, E. M., Dierckx, B., Wierenga, M., Verhulst, F. C., & Legerstee, J. S. (2018). Social and academic functioning in adolescents with anxiety disorders: A systematic review. Journal of Affective Disorders, 230, 108–117. https://doi.org/10.1016/j.jad.2018.01.008 CrossRefGoogle ScholarPubMed
Doerschuk, P., Bahrim, C., Daniel, J., Kruger, J., Mann, J., & Martin, C. (2016). Closing the gaps and filling the STEM pipeline: A multidisciplinary approach. Journal of Science Education and Technology, 25, 682–695. https://doi.org/10.1007/s10956-016-9622-8 CrossRefGoogle Scholar
Dresel, M., & Haugwitz, M. (2008). A computer based approach to fostering motivation and self-regulated learning. The Journal of Experimental Education, 77(1), 3–20. https://doi.org/10.3200/JEXE.77.1.3-20 CrossRefGoogle Scholar
Duval, S., & Tweedie, R. (2000). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56, 455–463. https://doi.org/10.1111/j.0006-341X.2000 CrossRefGoogle ScholarPubMed
Erzen, E. (2017). The effect of anxiety on student achievement. In Karadag, E. (Ed.), The factors effecting student achievement. Springer. https://doi.org/10.1007/978-3-319-56083-0_5 Google Scholar
Gajda, A., Karwowski, M., & Beghetto, R. A. (2017). Creativity and academic achievement: A meta-analysis. Journal of Educational Psychology, 109(2), 269–299. https://doi.org/10.1037/edu0000133 CrossRefGoogle Scholar
Goetz, T., Cronjäger, H., Frenzel, A. C., Lüdtke, O., & Hall, N. C. (2010). Academic self-concept and emotion relations: Domain specificity and age effects. Contemporary Educational Psychology, 35(1), 44–58. https://doi.org/10.1016/j.cedpsych.2009.10.001 CrossRefGoogle Scholar
Groot, W., & Maassen van den Brink, H. (2007). The health effects of education. Economics of Education Review, 26(2), 186–200. https://doi.org/10.1016/j.econedurev.2005.09.002 CrossRefGoogle Scholar
Gubbels, J., van der Put, C. E., & Assink, M. (2019). Risk factors for school absenteeism and dropout: A meta-analytic review. Journal of Youth and Adolescence, 48(9), 1637–1667. https://doi.org/10.1007/s10964-019-01072-5 CrossRefGoogle ScholarPubMed
Hansford, B. C., & Hattie, J. A. (1982). The relationship between self and achievement/performance measures. Review of Educational Research, 52(1), 123–142. https://doi.org/10.3102/00346543052001123 CrossRefGoogle Scholar
Harter, S. (1990). Self and identity development. In Feldman, S. S., & Elliott, G. R. (Eds.), At the threshold: The developing adolescent (pp. 352–387). Essay, Harvard University Press.Google Scholar
Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Academic Press. https://doi.org/10.1016/C2009-0-03396-0 Google Scholar
Hembree, R. (1988). Correlates, causes, effects, and treatment of test anxiety. Review of Educational Research, 58(1), 47–77. https://doi.org/10.3102/00346543058001047 CrossRefGoogle Scholar
Higa-McMillan, C. K., Francis, S. E., Rith-Najarian, L., & Chorpita, B. F. (2016). Evidence base update: 50 years of research on treatment for child and adolescent anxiety. Journal of Clinical Child and Adolescent Psychology, 45(2), 91–113. https://doi.org/10.1080/15374416.2015.1046177 CrossRefGoogle ScholarPubMed
Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research Review, 17, 63–84. https://doi.org/10.1016/j.edurev.2015.11.002 CrossRefGoogle Scholar
Huang, C. (2011). Self-concept and academic achievement: A meta-analysis of longitudinal relations. Journal of School Psychology, 49(5), 505–528. https://doi.org/10.1016/j.jsp.2011.07.001 CrossRefGoogle ScholarPubMed
John, O. P., & Gross, J. J. (2004). Healthy and unhealthy emotion regulation: Personality processes, individual differences, and life span development. Journal of Personality, 72(6), 1301–1334. https://doi.org/10.1111/j.1467-6494.2004.00298.x CrossRefGoogle ScholarPubMed
Keane, L., & Loades, M. (2017). Review: Low self-esteem and internalizing disorders in young people—A systematic review. Child and Adolescent Mental Health, 22(1), 4–15. https://doi.org/10.1111/camh.12204 CrossRefGoogle ScholarPubMed
Kessler, R. C., Amminger, G. P., Aguilar-Gaxiola, S., Alonso, J., Lee, S., & Ustun, T. B. (2007). Age of onset of mental disorders: A review of recent literature. Current Opinion in Psychiatry, 20(4), 359–364. https://doi.org/10.1097/YCO.0b013e32816ebc8c CrossRefGoogle ScholarPubMed
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602. https://doi.org/10.1001/archpsyc.62.6.593 CrossRefGoogle ScholarPubMed
Kessler, R. C., & Greenberg, P. E. (2002). The economic burden of anxiety and stress disorders. In Davis, K. L., Charney, D., Coyle, J. T., & Nemeroff, C. (Eds.), Neuropsychopharmacology: The fifth generation of progress (pp. 981–992). Lippencott, Williams and Wilkins.Google Scholar
Kessler, R. C., Merikangas, K. R., & Wang, P. S. (2010). The epidemiology of mental disorders. In Levin, B. L., Hennessy, K. D., & Petrila, J. (Eds.), Mental health services: A public health perspective (pp. 169–200). Oxford University Press.Google Scholar
La Salle, T. P., & Hagermoser Sanetti, L. M. (2016). Implications of student health problems on achievement and engagement. International Journal of School & Educational Psychology, 4(1), 10–15. https://doi.org/10.1080/21683603.2016.1130543 CrossRefGoogle Scholar
Liu, R., & Bell, M. A. (2020). Fearful temperament and the risk for child and adolescent anxiety: The role of attention biases and effortful control. Clinical Child and Family Psychology Review, 23(2), 205–228, https://doi-org.proxy.library.kent.edu/10.1007/s10567-019-00306-z CrossRefGoogle ScholarPubMed
Lupien, S. J., Maheu, F., Tu, M., Fiocco, A., & Schramek, T. E. (2007). The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. Brain and Cognition, 65(3), 209–237. https://doi.org/10.1016/j.bandc.2007.02.007 CrossRefGoogle ScholarPubMed
Marsh, H. W. (1990). Causal ordering of academic self-concept and academic achievement: A multiwave, longitudinal panel analysis. Journal of Educational Psychology, 82(4), 646–656. https://doi.org/10.1037/0022-0663.82.4.646 CrossRefGoogle Scholar
Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1(2), 133–163. https://doi.org/10.1111/j.1745-6916.2006.00010.x CrossRefGoogle ScholarPubMed
Marsh, H. W., Pekrun, R., Parker, P. D., Murayama, K., Guo, J., Dicke, T., & Arens, A. K. (2019). The murky distinction between self-concept and self-efficacy: Beware of lurking jingle-jangle fallacies. Journal of Educational Psychology, 111(2), 331–353. https://doi.org/10.1037/edu0000281 CrossRefGoogle Scholar
Marsh, H. W., & Shavelson, R. (1985). Self-concept: Its multifaceted, hierarchical structure. Educational Psychologist, 20(3), 107–123. https://doi.org/10.1207/s15326985ep2003_1 CrossRefGoogle Scholar
Masten, A. S., Roisman, G. I., Long, J. D., Burt, K. B., Obradović, J., Riley, J. R., & Tellegen, A. (2005). Developmental cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology, 41(5), 733. https://doi.org/10.1037/0012-1649.41.5.733 CrossRefGoogle ScholarPubMed
Masten, C. L., Eisenberger, N. I., Pfeifer, J. H., & Dapretto, M. (2010). Witnessing peer rejection during early adolescence: Neural correlates of empathy for experiences of social exclusion. Social Neuroscience, 5(5-6), 496–507. https://doi.org/10.1080/17470919.2010.490673 CrossRefGoogle ScholarPubMed
Mathews, B. L., Koehn, A. J., Abtahi, M. M., & Kerns, K. A. (2016). Emotional competence and anxiety in childhood and adolescence: A meta-analytic review. Clinical Child and Family Psychology Review, 19(2), 162–184. https://doi.org/10.1007/s10567-016-0204-3 CrossRefGoogle ScholarPubMed
Maughan, B., Rowe, R., Loeber, R., & Stouthamer-Loeber, M. (2003). Reading problems and depressed mood. Journal of Abnormal child Psychology, 31(2), 219–229. https://doi.org/10.1023/A:1022534527021 CrossRefGoogle ScholarPubMed
McLeod, J. D., & Fettes, D. L. (2007). Trajectories of failure: The educational careers of children with mental health problems. American Journal of Sociology, 113(3), 653–701. https://doi.org/10.1086/521849 CrossRefGoogle ScholarPubMed
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151, 264–269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135 CrossRefGoogle ScholarPubMed
Moilanen, K. L., Shaw, D. S., & Maxwell, K. L. (2010). Developmental cascades: Externalizing, internalizing, and academic competence from middle childhood to early adolescence. Development and Psychopathology, 22(3), 635. https://doi.org/10.1017/S0954579410000337 CrossRefGoogle ScholarPubMed
Möller, J., Pohlmann, B., Köller, O., & Marsh, H. (2009). A meta-analytic path analysis of the internal/external frame of reference model of academic achievement and academic self-concept. Review of Educational Research, 79(3), 1129–1167. https://doi.org/10.3102/0034654309337522 CrossRefGoogle Scholar
Murray, C. J., Barber, R. M., Foreman, K. J., Ozgoren, A. A., Abd-Allah, F., Abera, S. F., & Del Pozo-Cruz, B. (2015). Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition. The Lancet, 386(10009), 2145–2191. https://doi.org/10.1016/S0140-6736(15)61340-X CrossRefGoogle ScholarPubMed
Namkung, J. M., Peng, P., & Lin, X. (2019). The relation between mathematics anxiety and mathematics performance among school-aged students: A meta-analysis. Review of Educational Research, 89(3), 459–496. https://doi.org/10.3102/0034654319843494 CrossRefGoogle Scholar
Northeastern University-Center for Labor Market Studies (2009). Left behind in America: The nation’s dropout crisis. Northeastern University-Center for Labor Market Studies. https://repository.library.northeastern.edu/downloads/neu:376318?datastream_id=conten Google Scholar
Pekrun, R., Lichtenfeld, S., Marsh, H. W., Murayama, K., & Goetz, T. (2017). Achievement emotions and academic performance: Longitudinal models of reciprocal effects. Child Development, 88(5), 1653–1670. https://doi.org/10.1111/cdev.12704 CrossRefGoogle ScholarPubMed
Peng, P., Lin, X., Ünal, Z. E., Lee, K., Namkung, J., Chow, J., & Sales, A. (2020). Examining the mutual relations between language and mathematics: A meta-analysis. Psychological Bulletin, 146(7), 595–634. https://doi.org/10.1037/bul0000231 CrossRefGoogle ScholarPubMed
Peters, J. L., Sutton, A. J., Jones, D. R., Abrams, K. R., & Rushton, L. (2008). Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry. Journal of Clinical Epidemiology, 61(10), 991–996. https://doi.org/10.1016/j.jclinepi.2007.11.010 CrossRefGoogle ScholarPubMed
Ranta, K., Kaltiala-Heino, R., Fröjd, S., & Marttunen, M. (2012). Peer victimization and social phobia: A follow-up study among adolescents. Social Psychiatry and Psychiatric Epidemiology, 48(4), 533–544. https://doi.org/10.1007/s00127-012-0583-9 CrossRefGoogle ScholarPubMed
Reardon, S. F., Valentino, R. A., Kalogrides, D., Shores, K. A., & Greenberg, E. H.. (2013). Patterns and trends in racial academic achievement gaps among states, 1999-2011. Unpublished Working Paper. Center for Education Policy Analysis, Stanford University. https://cepa.stanford.edu/content/patterns-and-trends-racial-academic-achievement-gaps-among-states-1999-2011 Google Scholar
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838 CrossRefGoogle ScholarPubMed
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261 CrossRefGoogle ScholarPubMed
Robinson, N. M. (2004). Effects of academic acceleration on the social-emotional status of gifted students. In Colangelo, N., Assouline, S. G., & Gross, M. U. M. (Eds.), A nation deceived: How schools hold back America’s brightest students (pp. 59–67). The University of Iowa. https://files.eric.ed.gov/fulltext/ED535138.pdf Google Scholar
Roeser, R. W., van der Wolf, K., & Strobel, K. R. (2001). On the relation between social-emotional and school functioning during early adolescence. Journal of School Psychology, 39(2), 111–139. https://doi.org/10.1016/s0022-4405(01)00060-7 CrossRefGoogle Scholar
Rutter, M. (1979). Protective factors in children’s responses to stress and disadvantage. In Kent, M. W. & Rolf, J. E. (Eds.), Primary prevention of psychopathology (Vol. 3, pp. 49–74). Essay, University Press of New England.Google Scholar
Saarni, C. (1999). The development of emotional competence. Guilford Press.Google Scholar
Scherrer, V., Preckel, F., Schmidt, I., & Elliot, A. J. (2020). Development of achievement goals and their relation to academic interest and achievement in adolescence: A review of the literature and two longitudinal studies. Developmental Psychology, 56(4), 795–814. https://doi.org/10.1037/dev0000898 CrossRefGoogle ScholarPubMed
Seipp, B. (1991). Anxiety and academic performance: A meta-analysis offindings. Anxiety Research, 4(1), 27–41. https://doi.org/10.1080/08917779108248762 CrossRefGoogle Scholar
Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75(3), 417–453. https://doi.org/10.3102/00346543075003417 CrossRefGoogle Scholar
Springer, K. S., Levy, H. C., & Tolin, D. F. (2018). Remission in CBT for adult anxiety disorders: A meta-analysis. Clinical Psychology Review, 61(6), 1–8. https://doi.org/10.1016/j.cpr.2018.03.002 CrossRefGoogle ScholarPubMed
Susperreguy, M. I., Davis-Kean, P. E., Duckworth, K., & Chen, M. (2017). Self-concept predicts academic achievement across levels of the achievement distribution: Domain specificity for mathematics and reading. Child Development, 89(6), 2196–2214. https://doi.org/10.1111/cdev.12924 CrossRefGoogle ScholarPubMed
Townsend, L., Flisher, A. J., & King, G. (2007). A systematic review of the relationship between high school dropout and substance use. Clinical Child and Family Psychology Review, 10(4), 295–317. https://doi.org/10.1007/s10567-007-0023-7 CrossRefGoogle ScholarPubMed
Tu, K. M., Erath, S. A., & Flanagan, K. S. (2012). Can socially adept friends protect peer-victimized early adolescents against lower academic competence? Journal of Applied Developmental Psychology, 33(1), 24–30. https://doi.org/10.1016/j.appdev.2011.09.002 CrossRefGoogle Scholar
US Department of Education. (2019). 41st Annual Report to Congress on the Implementation ofthe Individuals with Disabilities Education Act, 2019, Parts B and C. https://www2.ed.gov/about/reports/annual/osep/2019/parts-b-c/index.html Google Scholar
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. https://doi.org/10.1207/s15326985ep3902_3 CrossRefGoogle Scholar
Van den Noortgate, W., López-López, J. A., Marín-Martínez, F., & Sánchez-Meca, J. (2013). Three-level meta-analysis of dependent effect sizes. Behavior Research Methods, 45, 576–594. https://doi.org/10.3758/s13428-012-0261-6 CrossRefGoogle ScholarPubMed
von der Embse, N., Jester, D., Roy, D., & Post, J. (2018). Test anxiety effects, predictors, and correlates: A 30-year meta-analytic review. Journal of Affective Disorders, 227, 483–493. https://doi.org/10.1016/j.jad.2017.11.048 CrossRefGoogle ScholarPubMed
Waldfogel, J., & Garfinkel, I. (2007). Welfare and the costs of public assistance. In Belfield, C. R., & Levin, H. M. (Eds.), The price we pay: Economic and social consequences of inadequate education (pp. 160–176). Essay, Brookings Institution Press.Google Scholar
Wigfield, A., Eccles, J. S., Yoon, K. S., Harold, R. D., Arbreton, A. J., Freedman-Doan, C., & Blumenfeld, P. C. (1997). Change in children’s competence beliefs and subjective task values across the elementary school years: A 3-year study. Journal of Educational Psychology, 89(3), 451–469. https://doi.org/10.1037/0022 CrossRefGoogle Scholar
Wigfield, A., Eccles, J. S., Fredricks, J. A., Simpkins, S., Roeser, R. W., & Schiefele, U. (2015). Development of achievement motivation and engagement. In M. E. Lamb, & R. M. Lerner (Eds.), Handbook of child psychology and developmental science: Socioemotional processes (pp. 657–700). John Wiley & Sons, Inc.. https://doi.org/10.1002/9781118963418.childpsy316 CrossRefGoogle Scholar
Wilson, S., Lipsey, M. W., Tanner-Smith, E. E., Huang, C., & Steinka-Fry, K. (2010). Protocol: Dropout prevention and intervention programs: Effects on school completion and dropout among school-aged children and youth. Campbell Systematic Reviews, 6(1), 1–35, http://www.campbellcollaboration.org/lib/project/158/ CrossRefGoogle Scholar
Wittchen, H. U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., Jönsson, B., & Steinhausen, H. C. (2011). The size and burden of mental disorders and other disorders of the brain in Europe 2010. European Neuropsychopharmacology, 21(9), 655–679. https://doi.org/10.1016/j.euroneuro.2011.07.018 CrossRefGoogle ScholarPubMed
Wood, J. (2006). Effect of anxiety reduction on children’s school performance and social adjustment. Developmental Psychology, 42(2), 345–349. https://doi.org/10.1037/0012-1649.42.2.345 CrossRefGoogle ScholarPubMed
Wu, H., Guo, Y., Yang, Y., Zhao, L., & Guo, C. (2021). A meta-analysis of the longitudinal relationship between academic self-concept and academic achievement. Educational Psychology Review, 33, 1749–1778. https://doi.org/10.1007/s10648-021-09600-1 CrossRefGoogle Scholar
Zahn-Waxler, C., Shirtcliff, E. A., & Marceau, K. (2008). Disorders of childhood and adolescence: Gender and psychopathology. Annual Review of Clinical Psychology, 4(1), 275–303. https://doi.org/10.1146/annurev.clinpsy.3.022806.091358 CrossRefGoogle ScholarPubMed
Zhang, J., Zhao, N., & Kong, Q. P. (2019). The relationship between math anxiety and math performance: A meta-analytic investigation. Frontiers in Psychology, 10, Article 1613. https://doi.org/10.3389/fpsyg.2019.01613 CrossRefGoogle ScholarPubMed
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