Understanding Girls’ Disengagement: Identifying Patterns and the Role of Teacher and Peer Support using Latent Growth Modeling
Previous work has established a significant increase in disengagement as students progress through secondary school. This work has also established that rates of disengagement appear to be higher among boys, leading to an increased focus on the underlying causes and factors associated with disengagement within this population. However, less is known about the patterns of disengagement exhibited by girls. Given that disengagement is consistently associated with negative personal and academic outcomes, it is important to more closely examine the disengagement trajectories of girls. Moreover, it critical to identify factors that buffer the effects of disengagement that are the most effective for girls. Classroom interpersonal support from teachers and peers have been identified as factors that are likely to mitigate disengagement among girls. The present investigation examined longitudinal data from Australian adolescent girls (N = 302, age range 12–16 years old). Latent growth modeling was used to examine the extent to which disengagement was increasing among secondary school girls in Australia, as well as the effects of teacher and peer social support in slowing this increase. The results showed that disengagement significantly increased across 3 years and that teacher support (but not peer support) was associated with a reduction in girls’ upward disengagement trajectories. The results of the current study provide much-needed insight about the developmental trajectories of disengagement among adolescent girls and the role of teachers in buffering these problematic trajectories.
KeywordsDisengagement Teacher support Peer support Adolescent development Girls’ education Latent growth modeling
We thank Dr Marianne Mansour for assisting with data collection.
E.C.B. conceived the study, participated in the design of the study, performed statistical analysis, drafted the initial manuscript, and participated in extensive editing of the manuscript; K.C.P.B. conceived the study, participated in the design of the study, performed statistical analysis, and participated in extensive editing of the manuscript; R.J.C. participated in the design of the study, assisted with conceptualizing, contributed to statistical analysis, and participated in extensive editing of the manuscript; A.J.M. received the funding for this study, participated in the design of the study, assisted with conceptualizing, contributed to statistical analysis, and participated in extensive editing of the manuscript. All authors read and approved the final manuscript and supplementary materials.
This study was funded by the Australian Research Council (Grant #DP140104294).
Data Sharing and Declaration
The datasets generated and/or analyzed during the current study are not publicly available, in line with the study’s institutional ethics approval and parent/participant consent.
Compliance with Ethical Standards
Conflict of Interest
The disengagement measure in the study is one part of a longer commercially available instrument authored by A.J.M.; no fee was involved in its use for this study. The authors report no other conflict of interest.
All procedures performed in the current study involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study. As the study included minors, informed consent was also obtained from a parent or guardian for each individual participant.
- Akos, P., & Galassi, J. P. (2004). Middle and high school transitions as viewed by students, parents, and teachers. Professional School Counseling, 7, 212–221.Google Scholar
- Assor, A., Kaplan, H., & Roth, G. (2002). Choice is good, but relevance is excellent: Autonomy-enhancing and suppressing teacher behaviours predicting students’ engagement in schoolwork. The British Journal of Educational Psychology, 72, 261–278. https://doi.org/10.1348/000709902158883.CrossRefGoogle Scholar
- Balfanz, R., Herzog, L., & Mac Iver, D. J. (2007). Preventing student disengagement and keeping students on the graduation path in urban middle-grades schools: Early identification and effective interventions. Educational Psychologist, 42, 223–235. https://doi.org/10.1080/00461520701621079.
- Bronfenbrenner, U. (2005). Making human beings human. Thousand Oaks, CA: Sage.Google Scholar
- Burns, E. C., Martin, A. J., & Collie, R. J. (2018a). Adaptability, personal best (PB) goals, and gains in students’ academic outcomes: A longitudinal examination from a social cognitive perspective. Contemporary Educational Psychology, 53, 57–72. https://doi.org/10.1016/j.cedpsych.2018.02.001.
- Burns, E. C., Martin, A. J., & Collie, R. J. (2017). Understanding the role of adaptability and personal best (PB) goals in students’ academic outcomes: A social cognitive perspective. BJEP Monograph Series II, 12, 111–143.Google Scholar
- Burns, E. C., Martin, A. J., & Collie, R. J. (2018b). Understanding the role of personal best (PB) goal setting in students’ declining engagement: A latent growth model. Journal of Educational Psychology. Advance online publication.Google Scholar
- Clarke, I. E., & MacCann, C. (2016). Internal and external aspects of self-handicapping reflect the distinction between motivations and behaviours: Evidence from the Self- handicapping Scale. Personality and Individual Differences, 100, 6–11. https://doi.org/10.1016/j.paid.2016.03.080.
- Cook, T. D., Deng, Y., & Morgano, E. (2007). Friendship influences during early adolescence: The special role of friends’ grade point average. Journal of Research on Adolescence, 17, 325–356. https://doi.org/10.1111/j.1532-7795.2007.00525.x.
- Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105, 399–412. https://doi.org/10.1111/bjop.12046.
- Finn, J. D., & Servoss, T. J. (2014). Misbehavior, suspensions, and security measures in high school: Racial/ethnic and gender differences. Journal of Applied Research on Children: Informing Policy for Children at Risk, 5, 1–50.Google Scholar
- Frydenberg, E., & Lewis, R. (1993). Boys play sport and girls turn to others: Age, gender, and ethnicity as determinants of coping. Journal of Adolescence, 16, 253–266. https://doi.org/10.1006/jado.1993.1024.
- Green, J., Liem, G. A. D., Martin, A. J., Colmar, S., Marsh, H. W., & McInerney, D. (2012). Academic motivation, self-concept, engagement, and performance in high school: Key processes from a longitudinal perspective. Journal of Adolescence, 35, 1111–1122. https://doi.org/10.1016/j.adolescence.2012.02.016.
- Hakimzadeh, R., Besharat, M.-A., Khaleghinezhad, S. A., & Jahromi, R. G. (2016). Peers’ perceived support, student engagement in academic activities and life satisfaction: A structural equation modeling approach. School Psychology International, 37, 240–254. https://doi.org/10.1177/0143034316630020.
- Hospel, V., & Galand, B. (2016). Are both classroom autonomy support and structure equally important for students’ engagement? A multilevel analysis. Learning and Instruction, 41, 1–10. https://doi.org/10.1016/j.learninstruc.2015.09.001.CrossRefGoogle Scholar
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling, 6, 1–55. https://doi.org/10.1080/10705519909540118.
- Johnson, B. (2008). Teacher–student relationships which promote resilience at school: A micro-level analysis of students’ views. British Journal of Guidance & Counselling, 36, 385–398. https://doi.org/10.1080/03069880802364528.
- Karabenick, S. A., Woolley, M. E., Friedel, J. M., Ammon, B. V., Blazevski, J., Bonney, C. R., & Kelly, K. L. (2007). Cognitive processing of self-report items in educational research: Do they think what we mean? Educational Psychologist, 42, 139–151. https://doi.org/10.1080/00461520701416231.
- Kline, R. B. (2016). Principles and practice of structural equation modeling. 4th edn. New York, NY: Guilford Press.Google Scholar
- Kuncel, N. R., Credé, M., & Thomas, L. L. (2005). The validity of self-reported grade point averages, class ranks, and test scores: A meta-analysis and review of the literature. Review of Educational Research, 75, 63–82. https://doi.org/10.3102/00346543075001063.
- Lee, I. A., & Preacher, K. J. (2013, October). Calculation for the test of the difference between two dependent correlations with no variable in common [Computer software]. Available at http://quantpsy.org.
- Lerner, R. (2005). Promoting positive youth development: Theoretical and empirical bases. Washington, DC: National Research Council/institute of Medicine.Google Scholar
- Liem, G. A. D., & Martin, A. J. (2011). Peer relationships and adolescents’ academic and non-academic outcomes: Same-sex and opposite-sex peer effects and the mediating role of school engagement. British Journal of Educational Psychology, 81, 183–206. https://doi.org/10.1111/j.2044-8279.2010.02013.x.CrossRefGoogle Scholar
- Marsh, H. W. (2007). Self-concept theory, measurement and research into practice: The role of self-concept in educational psychology. Leicester, UK: British Psychological Society.Google Scholar
- Martin, A. J. (2004). School motivation of boys and girls: Differences of degree, differences of kind, or both? Australian Journal of Psychology, 56, 133–146. https://doi.org/10.1080/00049530412331283363.
- Martin, A. J. (2009). Motivation and engagement across the academic life span: A developmental construct validity study of elementary school, high school, and university/college students. Educational and Psychological Measurement, 69, 794–824. https://doi.org/10.1177/0013164409332214.
- Martin, A. J., Anderson, J., Bobis, J., Way, J., & Vellar, R. (2012). Switching on and switching off in mathematics: An ecological study of future intent and disengagement among middle school students. Journal of Educational Psychology, 104, 1–18. https://doi.org/10.1037/a0025988.
- Martin, A. J., & Dowson, M. (2009). Interpersonal relationships, motivation, engagement, and achievement: Yields for theory, current issues, and educational practice. Review of Educational Research, 79, 327–365. https://doi.org/10.3102/0034654308325583.
- Martin, A. J., & Marsh, H. W. (2003). Fear of failure: Friend or foe? Australian Psychologist, 38, 31–38. https://doi.org/10.1080/00050060310001706997.
- Martin, A. J., & Marsh, H. W. (2008). Academic buoyancy: Towards an understanding of students’ everyday academic resilience. Journal of School Psychology, 46, 53–83. https://doi.org/10.1016/j.jsp.2007.01.002.
- Martin, A. J., Marsh, H. W., & Debus, R. L. (2003). Self-handicapping and defensive pessimism: A model of self-protection from a longitudinal perspective. Contemporary Educational Psychology, 28, 1–36. https://doi.org/10.1016/S0361-476X(02)00008-5.
- Martin, A. J., Marsh, H. W., McInerney, D., & Green, J. (2009). Young people’s interpersonal relationships and academic and nonacademic outcomes: Scoping the relative salience of teachers, parents, same-sex peers, and opposite-sex. Teachers College Record, 1–7. Retrieved from http://www.tcrecord.org/Content.asp?ContentId=15593.
- Martin, A. J., Marsh, H. W., McInerney, D. M., Green, J., & Dowson, M. (2007). Getting along with teachers and parents: The yields of good relationships for students’ achievement motivation and self-esteem. Australian Journal of Guidance and Counselling, 17, 109–125. https://doi.org/10.1375/ajgc.17.2.109.
- Muthén, L. K., & Muthén, B. O. (2015). Mplus user’s guide. 7th edn. Los Angeles, CA: Muthén & Muthén.Google Scholar
- Reddy, R., Rhodes, J., & Mulhall, P. (2003). The influence of teacher support on student adjustment in the middle school years: A latent growth curve study. Development and Psychopathology, 15, 119–138. https://doi.org/10.1017/S0954579403000075.
- Reichenberg, O. (2017). Student behavioural disengagement, peer encouragement and the school curriculum: A mechanism approach. Educational Studies, advanced online publication. https://doi.org/10.1080/03055698.2017.1347491.
- Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8, 23–74.Google Scholar
- Shapka, J. D., Onditi, H. Z., Collie, R. J., & Lapidot-Lefler, N. (2018). Cyberbullying and cybervictimization within a cross-cultural context: A study of Canadian and Tanzanian adolescents. Child Development, 89, 89–99. https://doi.org/10.1111/cdev.12829.
- Shin, H., & Ryan, A. M. (2017). Friend influence on early adolescent disruptive behavior in the classroom: Teacher emotional support matters. Developmental Psychology, 53, 114–125. https://doi.org/10.1037/dev0000250.
- Skinner, E., Furrer, C., Marchand, G., & Kindermann, T. (2008). Engagement and disaffection in the classroom: Part of a larger motivational dynamic? Journal of Educational Psychology, 100, 765–781. https://doi.org/10.1037/a0012840.
- Urdan, T., & Midgley, C. (2001). Academic self-handicapping: What we know, what more there is to learn. Educational Psychology Review, 13, 115–138. https://doi.org/10.1023/A:1009061303214.
- Van de gaer, E., Pustjens, H., Van Damme, J., & De Munter, A. (2009). School engagement and language achievement: A longitudinal study of gender differences across secondary school. Merrill-Palmer Quarterly, 55, 373–405. https://doi.org/10.1353/mpq.0.0034.
- Vollet, J. W., Kindermann, T. A., & Skinner, E. A. (2017). In peer matters, teachers matter: Peer group influences on students’ engagement depend on teacher involvement. Journal of Educational Psychology. Advance online publication. https://doi.org/10.1037/edu0000172.
- Wang, M.-T., & Eccles, J. S. (2012). Social support matters: Longitudinal effects of social support on three dimensions of school engagement from middle to high school. Child Development, 83, 877–895. https://doi.org/10.1111/j.1467-8624.2012.01745.x.
- Wray-Lake, L., Crouter, A. C., & McHale, S. M. (2010). Developmental patterns in decision-making autonomy across middle childhood and adolescence: European American parents’ perspectives. Child Development, 81, 636–651. https://doi.org/10.1111/j.1467-8624.2009.01420.x.