Adjustment to college and prediction of depression during post-secondary transition

Journal article


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
AuthorsMarcotte, Diane, Diallo, Thierno M. O. and Paré, Marie-Laurence
Abstract

Many studies have reported an increase in mental health problems during post-secondary transition, often originating from high school years. The present study examined how depressive symptoms during the 2 years following the post-secondary transition could be predicted by, on the one hand, school performance, externalized and learning difficulties, and depressive symptoms before the post-secondary transition, and on the other hand, personal factors, family functioning, and adjustment to college after the transition. From a sample of 438 participants (M = 16.20, SD = 0.87) at time point 1, an integrated model was elaborated using structural equation modeling. The statistical analyses showed that the five constructs fit the data well. The path coefficients showed a negative relationship between externalized and learning problems as perceived by the teacher (ELPT) before the transition and academic performance (AP). Personal characteristics (PC) negatively predicted academic adjustment (AC) over time, whereas the path coefficients between the family factor (FF) and AC were not significant over time. ELPT and AP negatively predicted depression at time point 1. At time points 2 and 3, PC positively predicted depression, and depressive symptoms were positively related over time. The percentage of variance accounted for by the depressive symptoms increased over time.

Keywordsdepression; school adjustment; college students; post-secondary transition
Year2018
JournalEuropean Journal of Psychology of Education
Journal citation33 (4), pp. 727 - 748
PublisherSpringer Netherlands
ISSN0256-2928
Digital Object Identifier (DOI)https://doi.org/10.1007/s10212-017-0346-9
Scopus EID2-s2.0-85028012961
Page range727 - 748
Research GroupInstitute for Positive Psychology and Education
Publisher's version
File Access Level
Controlled
Place of publicationNetherlands
Permalink -

https://acuresearchbank.acu.edu.au/item/8qxxw/adjustment-to-college-and-prediction-of-depression-during-post-secondary-transition

Restricted files

Publisher's version

  • 105
    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
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
A multidimensional model of school dropout from an 8-year longitudinal study in a general high school population
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