A multidimensional model of school dropout from an 8-year longitudinal study in a general high school population

Journal article

Fortin, Laurier, Marcotte, Diane, Diallo, Thierno M. O., Potvin, Pierre and Royer, Égide. (2013). A multidimensional model of school dropout from an 8-year longitudinal study in a general high school population. European Journal of Psychology of Education. 28(2), pp. 563 - 583. https://doi.org/10.1007/s10212-012-0129-2
AuthorsFortin, Laurier, Marcotte, Diane, Diallo, Thierno M. O., Potvin, Pierre and Royer, Égide
Abstract

This study tests an empirical multidimensional model of school dropout, using data collected in the first year of an 8-year longitudinal study, with first year high school students aged 12–13 years. Structural equation modeling analyses show that five personal, family, and school latent factors together contribute to school dropout identified at 19 years of age: poor parent–teenager relationships, youth depression and family difficulties, negative classroom climate, negative school interactions, and poor academic achievement. This model increases our understanding of the dropout process in the general population and has direct implications for the development of high school dropout prevention programs.

Keywordstheoretical model; school dropout; high school students; risk factors
Year2013
JournalEuropean Journal of Psychology of Education
Journal citation28 (2), pp. 563 - 583
PublisherInstituto Superior de Psicologia Aplicada
ISSN0256-2928
Digital Object Identifier (DOI)https://doi.org/10.1007/s10212-012-0129-2
Scopus EID2-s2.0-84882450406
Page range563 - 583
Research GroupInstitute for Positive Psychology and Education
Publisher's version
File Access Level
Controlled
Place of publicationNetherlands
Permalink -

https://acuresearchbank.acu.edu.au/item/89vyw/a-multidimensional-model-of-school-dropout-from-an-8-year-longitudinal-study-in-a-general-high-school-population

Log in to edit

Restricted files

Publisher's version

  • 111
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

A systematic evaluation and comparison between Exploratory Structural Equation Modeling and Bayesian Structural Equation Modeling
Guo, Jiesi, Marsh, Herbert W., Parker, Philip D., Dicke, Theresa, Lüdtke, Oliver and Diallo, Thierno M. O.. (2019). A systematic evaluation and comparison between Exploratory Structural Equation Modeling and Bayesian Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal. 26(4), pp. 529-556. https://doi.org/10.1080/10705511.2018.1554999
An internet-supported school physical activity intervention in low socioeconomic status communities: results from the Activity and Motivation in Physical Education (AMPED) cluster randomised controlled trial
Lonsdale, Chris, Lester, Aidan, Owen, Katherine B., White, Rhiannon L., Peralta, Louise, Kirwan, Morwenna, Diallo, Thierno M. O., Maeder, Anthony J., Bennie, Andrew, MacMillan, Freya, Kolt, Gregory S., Ntoumanis, Nikos, Gore, Jennifer M., Cerin, Ester, Cliff, Dylan P. and Lubans, David R.. (2019). An internet-supported school physical activity intervention in low socioeconomic status communities: results from the Activity and Motivation in Physical Education (AMPED) cluster randomised controlled trial. British Journal of Sports Medicine. 53(6), pp. 341 - 347. https://doi.org/10.1136/bjsports-2017-097904
Adjustment to college and prediction of depression during post-secondary transition
Marcotte, Diane, Diallo, Thierno M. O. and Paré, Marie-Laurence. (2018). Adjustment to college and prediction of depression during post-secondary transition. European Journal of Psychology of Education. 33(4), pp. 727 - 748. https://doi.org/10.1007/s10212-017-0346-9
School physical activity intervention effect on adolescents' performance in mathematics
Lubans, David R., Beauchamp, Mark R., Diallo, Thierno M. O., Peralta, Louisa R., Bennie, Andrew, White, Rhiannon L., Owen, Katherine and Lonsdale, Chris. (2018). School physical activity intervention effect on adolescents' performance in mathematics. Medicine & Science in Sports & Exercise. 50(12), pp. 2442 - 2450. https://doi.org/10.1249/MSS.0000000000001730
Effects of a Dual-Approach Instruction on Students’ Science Achievement and Motivation
Kadir Binte, Munirah Shaik, Yeung, Alex, Ryan, Richard, Forbes, Anne and Diallo, Thierno M. O.. (2018). Effects of a Dual-Approach Instruction on Students’ Science Achievement and Motivation. Educational Psychology Review. https://doi.org/10.1007/s10648-018-9449-3
Individual differences in lexical and grammar spelling across primary school
Morin, Marie-France, Alamargot, Denis, Diallo, Thierno M. O. and Fayol, Michel. (2018). Individual differences in lexical and grammar spelling across primary school. Learning and Individual Differences. 62, pp. 128 - 140. https://doi.org/10.1016/j.lindif.2018.02.002
The impact of total and partial inclusion or exclusion of active and inactive time invariant covariates in growth mixture models
Diallo, Thierno, Morin, Alexandre and Lu, HuiZhong. (2017). The impact of total and partial inclusion or exclusion of active and inactive time invariant covariates in growth mixture models. Psychological Methods. 22(1), pp. 166 - 190. https://doi.org/10.1037/met0000084
On the application of the three-step approach to growth mixture models
Diallo, Thierno M. O. and Lu, Hui Zhong. (2017). On the application of the three-step approach to growth mixture models. Structural Equation Modeling: A Multidisciplinary Journal. 24(5), pp. 714 - 732. https://doi.org/10.1080/10705511.2017.1322516
Performance of growth mixture models in the presence of time-varying covariates
Diallo, Thierno M. O., Morin, Alexandre and Lu, Hui Zhong. (2017). Performance of growth mixture models in the presence of time-varying covariates. Behavior Research Methods. 49(5), pp. 1951 - 1965. https://doi.org/10.3758/s13428-016-0823-0
Simultaneous testing of four decades of academic self-concept models
Kadir, Munirah Shaik, Yeung, Alexander Seeshing and Diallo, Thierno M. O.. (2017). Simultaneous testing of four decades of academic self-concept models. Contemporary Educational Psychology. 51, pp. 429 - 446. https://doi.org/10.1016/j.cedpsych.2017.09.008
Consequences of misspecifying across-cluster time-specific residuals in multilevel latent growth curve models
Diallo, Thierno and Lu, HuiZhong. (2017). Consequences of misspecifying across-cluster time-specific residuals in multilevel latent growth curve models. Structural Equation Modeling: A Multidisciplinary Journal. 24(3), pp. 359 - 382. https://doi.org/10.1080/10705511.2016.1247647
Impact of misspecifications of the latent variance-covariance and residual matrices on the class enumeration accuracy of growth mixture models
Diallo, Thierno M. O., Morin, Alexandre J. S. and Lu, HuiZhong. (2016). Impact of misspecifications of the latent variance-covariance and residual matrices on the class enumeration accuracy of growth mixture models. Structural Equation Modeling. 23(4), pp. 507 - 531. https://doi.org/10.1080/10705511.2016.1169188
An internet-supported physical activity intervention delivered in secondary schools located in low socio-economic status communities: Study protocol for the Activity and Motivation in Physical Education (AMPED) cluster randomized controlled trial
Lonsdale, Chris, Lester, Aidan, Owens, Katherine B., White, Rhiannon L., Moyes, Ian, Peralta, Louisa R., Kirwan, Morwenna, Maeder, Anthony, Bennie, Andrew, MacMillan, Freya, Kolt, Gregory S., Ntoumanis, Nikos, Gore, Jennifer M., Cerin, Ester, Diallo, Thierno M. O., Cliff, Dylan P. and Lubans, David R.. (2016). An internet-supported physical activity intervention delivered in secondary schools located in low socio-economic status communities: Study protocol for the Activity and Motivation in Physical Education (AMPED) cluster randomized controlled trial. BMC Public Health. 16(17), pp. 1 - 15. https://doi.org/10.1186/s12889-015-2583-7
Power of latent growth curve models to detect piecewise linear trajectories
Diallo, Thierno and Morin, Alexandre. (2015). Power of latent growth curve models to detect piecewise linear trajectories. Structural Equation Modeling: A Multidisciplinary Journal. 22(3), pp. 449 - 460. https://doi.org/10.1080/10705511.2014.935678
Statistical power of latent growth curve models to detect quadratic growth
Diallo, Thierno M. O., Morin, Alexandre J. S. and Parker, Philip D.. (2014). Statistical power of latent growth curve models to detect quadratic growth. Behavior Research Methods. 46(2), pp. 357-371. https://doi.org/10.3758/s13428-013-0395-1