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Joint trajectories of behavioral, affective, and cognitive engagement in elementary school

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  • Isabelle Archambault
  • Véronique Dupéré

Abstract

The aim of the present study was to model student trajectories of behavioral, affective, and cognitive engagement from Grade 3 to Grade 6. The authors also examined whether teachers perceptions could predict student trajectory membership. The authors collected data from a sample of 831 students and 152 teachers. Using multiple-process growth mixture modeling, they identified 5 distinct trajectories of student engagement. Although a large majority of children presented a stable and high level of engagement on the three dimensions over time, more than one third of them showed a lower or changing level of engagement as the years progressed. These students were more likely to be boys and to be perceived by teachers as being less engaged. They also present more learning or behavioral problems and share less positive relationships with teachers. The results support the need to consider group-based differences when designing and adapting prevention and intervention strategies to favor student engagement.

Suggested Citation

  • Isabelle Archambault & Véronique Dupéré, 2017. "Joint trajectories of behavioral, affective, and cognitive engagement in elementary school," The Journal of Educational Research, Taylor & Francis Journals, vol. 110(2), pages 188-198, March.
    • Handle: RePEc:taf:vjerxx:v:110:y:2017:i:2:p:188-198
    DOI: 10.1080/00220671.2015.1060931
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    1. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    2. Venkatram Ramaswamy & Wayne S. Desarbo & David J. Reibstein & William T. Robinson, 1993. "An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data," Marketing Science, INFORMS, vol. 12(1), pages 103-124.
    3. Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
    4. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
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