Child Psychiatry & Human Development

, Volume 47, Issue 4, pp 603–617 | Cite as

Implicit Theories Relate to Youth Psychopathology, But How? A Longitudinal Test of Two Predictive Models

Original Article


Research shows relations between entity theories—i.e., beliefs that traits and abilities are unchangeable—and youth psychopathology. A common interpretation has been that entity theories lead to psychopathology, but another possibility is that psychopathology predicts entity theories. The two models carry different implications for developmental psychopathology and intervention design. We tested each model’s plausibility, examining longitudinal associations between entity theories of thoughts, feelings, and behavior and psychopathology in early adolescents across one school year (N = 59, 52 % female, ages 11–14, 0 % attrition). Baseline entity theories did not predict increases in psychopathology; instead, baseline psychopathology predicted increased entity theories over time. When symptom clusters were assessed individually, greater youth internalizing (but not externalizing) problems predicted subsequent increases in entity theories. Findings suggest that the commonly proposed predictive model may not be the only one warranting attention. They suggest that youth psychopathology may contribute to the development of certain kinds of entity theories.


Implicit theories Mindset Early adolescence Internalizing problems Developmental psychopathology Mental health 

Supplementary material

10578_2015_595_MOESM1_ESM.docx (13 kb)
Supplementary material 1 (DOCX 12 kb)


  1. 1.
    Paikoff RL, Brooks-Gunn J (1991) Do parent-child relationships change during puberty? Psych Bull 110:47–66CrossRefGoogle Scholar
  2. 2.
    Angold A, Costello EJ, Worthman CM (1998) Puberty and depression, the roles of age, pubertal status and pubertal timing. Psych Med 28:51–61CrossRefGoogle Scholar
  3. 3.
    Abela JR, Hankin BL (2008) Cognitive vulnerability to depression in children and adolescents: A developmental psychopathology perspective. In: Abela J, Hankin B (eds) Handbook of depression in children and adolescents. Guilford, New York, pp 35–78Google Scholar
  4. 4.
    Feehan M, McGee R, Raja SN, Williams SM (1994) DSM-III-R disorders in New Zealand 18-year-olds. Australian and New Zealand J Psychiatry 28:87–99CrossRefGoogle Scholar
  5. 5.
    Van Oort FV, Greaves-Lord K, Verhulst FC, Ormel J, Huizink C (2009) The developmental course of anxiety symptoms during adolescence: the TRAILS study. J child psychol psychiatry allied disciplines 50:1209–1217CrossRefGoogle Scholar
  6. 6.
    Brooks-Gunn J, Warren MP (1989) Biological and social contributions to negative affect in young girls. Child Dev 60:40–55CrossRefPubMedGoogle Scholar
  7. 7.
    Campbell SB, Spieker S, Burchinal M, Poe MD (2006) Trajectories of aggression from toddlerhood to age 9 predict academic and social functioning through age 12. J Child Psychol Psychiatry 47:791–800CrossRefPubMedGoogle Scholar
  8. 8.
    Jaycox LH, Stein BD, Paddock S, Miles JN, Chandra A, Meredith LS et al (2009) Impact of teen depression on academic, social, and physical functioning. Pediatrics 124:e596–e605CrossRefPubMedGoogle Scholar
  9. 9.
    Kamins ML, Dweck CS (1999) Person versus process praise and criticism: implications for contingent self-worth and coping. Dev Psychol 35:835–847CrossRefPubMedGoogle Scholar
  10. 10.
    Zentall SR, Morris BJ (2010) “Good job, you’re so smart”: the effects of inconsistency of praise type on young children’s motivation. J Experimental Child Psychol 107:155–163CrossRefGoogle Scholar
  11. 11.
    Cimpian A, Arce HMC, Markman EM, Dweck CS (2007) Subtle linguistic cues affect children’s motivation. Psychol Sci 18:314–316CrossRefPubMedGoogle Scholar
  12. 12.
    Schleider JL, Abel MR, Weisz JR (2015) Implicit self-theories and youth mental health problems: a random-effects meta-analysis. Clin Psychol Rev 45:1–9CrossRefGoogle Scholar
  13. 13.
    Da Fonseca D, Cury F, Santos A, Payen V, Bounoua L, Brisswalter J et al (2009) When depression mediates the relationship between entity beliefs and performance. Child Psych Hum Dev 40:213–222CrossRefGoogle Scholar
  14. 14.
    Miu A, Yeager DS (2015) Preventing symptoms of depression by teaching adolescents that people can change: nine-month effects of a brief incremental theory of personality intervention. Clin Psychol Sci 3:726–743CrossRefGoogle Scholar
  15. 15.
    Yeager DS, Johnson R, Spitzer BJ, Trzesniewski KH, Powers J, Dweck CS (2014) The far-reaching effects of believing people can change: implicit theories of personality shape stress, health, and achievement during adolescence. J Pers Soc Psychol 106:867–884CrossRefPubMedGoogle Scholar
  16. 16.
    Dweck CS (1975) The role of expectations and attributions in the alleviation of learned helplessness. J Pers Soc Psychol 31:674–685CrossRefGoogle Scholar
  17. 17.
    Dweck CS (1991) Self-theories and goals: their role in motivation, personality and development. In: Dienstbier R (ed) Nebraska symposium on motivation, vol 38. Perspectives on motivation. University of Nebraska Press, Lincoln, pp 199–235Google Scholar
  18. 18.
    Dweck CS (1999) Self-theories: their role in motivation, personality, and development. Psychology Press, New YorkGoogle Scholar
  19. 19.
    Blackwell LS, Trzesniewski KH, Dweck CS (2007) Implicit theories of intelligence predict achievement across an adolescent transition: a longitudinal study and an intervention. Child Dev 78:246–263CrossRefPubMedGoogle Scholar
  20. 20.
    Erdley CA, Loomis CC, Cain KM, Dumas-Hines F (1997) Relations among children’s social goals, implicit personality theories, and responses to social failure. Dev Psychol 33:263–272CrossRefPubMedGoogle Scholar
  21. 21.
    Rudolph KD (2010) Implicit theories of peer relationships. Soc Dev 19:113–129CrossRefPubMedPubMedCentralGoogle Scholar
  22. 22.
    Ben-Artzi E, Mikulincer M (1996) Lay theories of emotion: 1. Conceptualization and measurement. Imagination Cog Pers 15:249–271CrossRefGoogle Scholar
  23. 23.
    Michel BD (2010) The influence of children’s beliefs about emotions on symptoms of depression. Unpublished doctoral dissertation. Harvard University, Cambridge, MAGoogle Scholar
  24. 24.
    Tamir M, John OP, Srivastava S, Gross JJ (2007) Implicit theories of emotion: affective and social outcomes across a major life transition. J Pers Soc Psychol 92:731–744CrossRefPubMedGoogle Scholar
  25. 25.
    Weisz JR, Kazdin AE (eds) (2010) Evidence-based psychotherapies for children and adolescents, 2nd edn. Guilford, New YorkGoogle Scholar
  26. 26.
    Chorpita BF, Brown TA, Barlow DH (1998) Perceived control as a mediator of family environment in etiological models of childhood anxiety. Beh Ther 29:457–476CrossRefGoogle Scholar
  27. 27.
    Seligman MEP, Peterson C, Kaslow NJ, Tanenbaum RL, Alloy LB, Abramson LY (1984) Attributional style and depressive symptoms among children. J Abnorm Psychol 93:235–238CrossRefPubMedGoogle Scholar
  28. 28.
    Schleider JL, Vélez CE, Krause ED, Gillham J (2014) Perceived psychological control and anxiety in early adolescents: the mediating role of attributional style. Cog ther res 38:71–81CrossRefGoogle Scholar
  29. 29.
    Wallace MT, Barry CT, Zeigler-Hill V, Green BA (2012) Locus of control as a contributing factor in the relation between self-perception and adolescent aggression. Aggressive Beh 38:213–221CrossRefGoogle Scholar
  30. 30.
    Weisz JR, Southam-Gerow MA, McCarty CA (2001) Control-related beliefs and depressive symptoms in clinic-referred children and adolescents: developmental differences and model specificity. J Abnorm Psychol 110:97–109CrossRefPubMedGoogle Scholar
  31. 31.
    Yeager DS, Trzesniewski KH, Dweck CS (2013) An implicit theories of personality intervention reduces adolescent aggression in response to victimization and exclusion. Child Dev 84:970–988CrossRefPubMedGoogle Scholar
  32. 32.
    Jones BD, Wilkins JLM, Long ML, Wang F (2012) Testing a motivational model of achievement: how students’ mathematical beliefs and interests are related to their achievement. European J Psychol Educ 27:1–20CrossRefGoogle Scholar
  33. 33.
    Dweck CS, Davidson W, Nelson S, Enna B (1978) Sex differences in learned helplessness: II. Dev Psychol 14:268–276CrossRefGoogle Scholar
  34. 34.
    Gunderson EA, Gripshover SJ, Romero C, Dweck CS, Goldin-Meadow S, Levine SC (2013) Parent praise to 1- to 3-year-olds predicts children’s motivational frameworks 5 years later. Child Dev 84:1526–1541CrossRefPubMedPubMedCentralGoogle Scholar
  35. 35.
    Eccles JS (2004) Schools, academic motivation, and stage-environment fit. In: Lerner RM, Steinberg LD (eds) Handbook of adolescent psychology, 2nd edn. Wiley, New York, pp 125–153Google Scholar
  36. 36.
    Montemayor R, Adams GR, Gullotta TP (eds) (1990) From childhood to adolescence: a transitional period. Sage, Newbury ParkGoogle Scholar
  37. 37.
    Wigfield A, Eccles JS, Pintrich P (1996) Development between the ages of 11 and 25. In: Berliner D, Calfee R (eds) Handbook of educational psychology. Macmillan, New YorkGoogle Scholar
  38. 38.
    Goodman R, Meltzer H, Bailey V (1998) The Strengths and Difficulties Questionnaire: a pilot study on the validity of the self-report version. Eur Child Adolesc Psychiatr 7:125–130CrossRefGoogle Scholar
  39. 39.
    Bourdon K, Goodman R, Rae D, Simpson G, Koretz D (2005) The Strengths and Difficulties Questionnaire: US normative data and psychometric properties. Am acad child adolescn psychiatr 44:557–564CrossRefGoogle Scholar
  40. 40.
    Goodman R (1999) The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatr 40:791–801CrossRefGoogle Scholar
  41. 41.
    Smedje H, Broman JE, Hetta J, von Knorring AL (1999) Psychometric properties of a Swedish version of the “Strengths and Difficulties Questionnaire”. Eur Child Adolesc Psychiatr 8:63–70CrossRefGoogle Scholar
  42. 42.
    Goodman R (2001) Psychometric properties of the Strengths and Difficulties Questionnaire (SDQ). J Am Acad Child Adolesc Psychiatr 40:1337–1345CrossRefGoogle Scholar
  43. 43.
    Goodman R, Scott S (1999) Comparing the Strengths and Difficulties Questionnaire and the child behavior checklist: is small beautiful? J Abnorm Child Psychol 27:17–24CrossRefPubMedGoogle Scholar
  44. 44.
    Dweck CS, Henderson VL (1988) Theories of intelligence: background and measures. Unpublished manuscriptGoogle Scholar
  45. 45.
    King RB, McInerney DM, Watkins DA (2012) How you think about your intelligence determines how you feel in school. Learning Ind Diff 22:814–819CrossRefGoogle Scholar
  46. 46.
    Rudolph KD (2010) Implicit theories of peer relationships. Soc Dev 19:113–129CrossRefPubMedPubMedCentralGoogle Scholar
  47. 47.
    Da Fonseca D, Cury F, Fakra E, Rufo M, Poinso F, Bounsoua L, Huguet P (2008) Implicit theories of intelligence and IQ test performance in adolescents with generalized anxiety disorder. Beh Res Ther 46:529–536CrossRefGoogle Scholar
  48. 48.
    McArdle JJ (2009) Latent variable modeling of differences in changes with longitudinal data. Annual Rev Psychol 60:577–605CrossRefPubMedGoogle Scholar
  49. 49.
    Preacher KJ, Wichman AL, MacCallum R, Briggs NE (2008) Latent growth curve modeling. Sage Publications, Thousand OaksCrossRefGoogle Scholar
  50. 50.
    Curran PJ, Obeidat K, Losardo D (2011) Twelve frequently asked questions about growth curve modeling. J Cog Dev 11:121–136CrossRefGoogle Scholar
  51. 51.
    Maas CJM, Hox JJ (2005) Sufficient sample sizes for multilevel modeling. Methodology 1:85–91CrossRefGoogle Scholar
  52. 52.
    MacCallum RC, Kim C, Malarkey W, Kiecolt-Glaser J (1997) Studying multivariate change using multilevel models and latent curve models. Multivariate Beh Res 32:215–253CrossRefGoogle Scholar
  53. 53.
    Stoolmiller M (2001) Synergistic interaction of child manageability problems and parent discipline tactics in predicting future growth in externalizing behavior for boys. Dev Psychol 37:814–825CrossRefPubMedGoogle Scholar
  54. 54.
    Dawson DA (1991) Family structure and children’s health and well-being: data from the 1988 National Health Interview Survey on Child Health. J Marriage Family 53:573–584CrossRefGoogle Scholar
  55. 55.
    Siegel JM, Aneshensel CS, Taub B, Cantwell DP, Driscoll AK (1998) Adolescent depressed mood in a multiethnic sample. J Youth Adolesc 27:413–427CrossRefGoogle Scholar
  56. 56.
    Ollendick TH, Langley AK, Jones RT, Kephart C (2001) Fear in children and adolescents: relations with negative life events, attributional style, and avoidant coping. J Child Psychol Psychiatr 42:1029–1034CrossRefGoogle Scholar
  57. 57.
    Reyno SM, McGrath PJ (2006) Predictors of parent training efficacy for child externalizing behavior problems: a meta-analytic review. J child psychol psychiatry allied disciplines 47:99–111CrossRefGoogle Scholar
  58. 58.
    Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE (2005) Lifetime prevalence an age-of-onset distributions of DSM-IV disorders in the national comorbidity survey replication. Arch Gen Pyschiatry 62:593–602CrossRefGoogle Scholar
  59. 59.
    Burnette JL, O’Boyle EH, Vanepps EM, Pollack JM, Finkel EJ (2013) Mind-sets matter: a meta-analytic review of implicit theories and self-regulation. Psychol Bull 139:655–701CrossRefPubMedGoogle Scholar
  60. 60.
    Zhao J (2006) Implicit self-theories of shyness: predictors and correlates in preadolescence. Unpublished doctoral dissertation, Brock University, St. Catharines, ONGoogle Scholar
  61. 61.
    Sylvester CM, Hudziak JJ, Gaffrey MS, Barch DM, Luby JL (2015) Stimulus-driven attention, threat bias, and sad bias in youth with a history of an anxiety disorder or depression. J Abnorm Child Psychol. doi: 10.1007/s10802-015-9988-8 Google Scholar
  62. 62.
    Alloy LB, Abramson LY, Whitehouse WG, Hogan ME, Panzarella C, Rose DR (2006) Prospective incidence of first onsets and recurrences of depression in individuals at high and low cognitive risk for depression. J Abnorm Psychol 115:145–156CrossRefPubMedGoogle Scholar
  63. 63.
    Weisz JR (2004) Psychotherapy for children and adolescents: Evidence-based treatments and case examples. Cambridge University Press, CambridgeCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Psychology DepartmentHarvard UniversityCambridgeUSA

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