ORCID Profile
0000-0002-2456-3161
Current Organisation
Université Laval
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Publisher: American Psychological Association (APA)
Date: 2017
DOI: 10.1037/DEV0000288
Abstract: Achievement goal theory has long been a dominant model in the study of student motivation. However, a relatively small number of researchers have investigated gender differences in achievement goals or have considered the possible role that social and extrinsic goals may play in student academic motivation. Adopting a person-centered multiple goals perspective based on personal investment theory, this longitudinal study investigated whether males and females shared similar goal profiles, and whether the predictors (facilitating conditions) and outcomes (learning processes, task perseverance, and future aspirations) of these profiles were equivalent across genders. Profiles were extracted from 8 types of academic goals, based on a large s le of Hong Kong high school students (N = 7,848). Findings revealed 5 distinctive profiles for both males and females. Although the relative size of these profiles differed across s les of male and female students, the results show that 4 of these profiles were mostly equivalent across genders. Predictors of membership into these profiles were also equivalent across genders, whereas their relative outcomes were specific to gender. (PsycINFO Database Record
Publisher: Elsevier BV
Date: 04-2015
Publisher: American Psychological Association (APA)
Date: 08-2017
DOI: 10.1037/DEV0000355
Abstract: The self-equilibrium hypothesis underlines the importance of having a strong core self, which is defined as a high and developmentally stable self-concept. This study tested this hypothesis in relation to body image (BI) trajectories in a s le of 1,006 adolescents (M
Publisher: Springer Science and Business Media LLC
Date: 13-03-2022
Publisher: American Psychological Association (APA)
Date: 06-2020
DOI: 10.1037/MOT0000142
Publisher: American Psychological Association (APA)
Date: 06-2017
DOI: 10.1037/DEV0000315
Abstract: Past research suggests that perceived social support from parents, teachers, and peers are all positively associated with wellbeing during adolescence. However, little longitudinal research has examined the implications of distinctive combinations of social support for developing adolescents. To address this limitation, we measured multiple dimensions of social support, psychological ill-health, and wellbeing in a s le of 2034 Australian adolescents (M
Publisher: American Psychological Association (APA)
Date: 2021
DOI: 10.1037/EDU0000455
Publisher: Oxford University Press
Date: 26-04-2019
DOI: 10.1093/ACREFORE/9780190236557.013.364
Abstract: As part of the Generalized Structural Equation Modeling framework, mixture models are person-centered analyses seeking to identify distinct subpopulations, or profiles, of participants differing quantitatively and qualitatively from one another on a configuration of indicators and/or relations among these indicators. Mixture models are typological (resulting in a classification system), probabilistic (each participant having a probability of membership into all profiles based on prototypical similarity), and exploratory (the optimal model is typically selected based on a comparison of alternative specifications) in nature, and can take different forms. Latent profile analyses seek to identify subpopulations of participants differing from one another on a configuration of indicators and can be extended to factor mixture analyses allowing for the incorporation of latent factors to the model. In contrast, mixture regression analyses seek to identify subpopulations of participants’ differing from one another in terms of relations among profile indicators. These analyses can be extended to the multiple-group and/or longitudinal analyses, allowing researchers to conduct tests of profile similarity across different s les of participants or time points, and latent transition analyses can be used to assess probabilities of profiles transition over time among a s le of participants (i.e., within person stability and change in profile membership). Finally, growth mixture analyses are built from latent curve models and seek to identify subpopulations of participants following quantitatively and qualitatively distinct trajectories over time. All of these models can accommodate covariates, used either as predictors, correlates, or outcomes, and can even be extended to tests of mediation and moderation.
Publisher: American Psychological Association (APA)
Date: 18-05-2023
DOI: 10.1037/EDU0000783
Publisher: Edward Elgar Publishing
Date: 07-05-2020
Publisher: Elsevier BV
Date: 09-2020
Publisher: American Psychological Association (APA)
Date: 02-2020
DOI: 10.1037/EDU0000482
Publisher: Elsevier BV
Date: 10-2017
Publisher: SAGE Publications
Date: 21-10-2019
Abstract: The authors adopt a person-centered approach to the investigation of the dimensionality of the union commitment construct by capitalizing on a 10-year longitudinal study (from 1992 to 2002) of 637 union members in their first year of employment measured again 1 and 10 years later. Results reveal four distinct profiles of union commitment, presenting a stable structure over time. These profiles demonstrate consistency in commitment level across the three most common union commitment dimensions, thus questioning the necessity of adopting a multidimensional approach. Results show that union members became more similar to other members of their profiles over time, and that their union commitment became slightly less extreme as union tenure increased. Finally, results show that union commitment profiles predict union participation, in accordance with our expectations, and suggest that endorsing positive attitudes toward unions and their instrumentality was a stronger predictor of profile membership than was satisfaction with the actions of one’s own union.
Publisher: Informa UK Limited
Date: 28-03-2015
Publisher: Elsevier BV
Date: 10-2017
Publisher: Springer Science and Business Media LLC
Date: 16-11-2013
Publisher: Springer Science and Business Media LLC
Date: 06-12-2018
Publisher: Informa UK Limited
Date: 06-11-2019
Publisher: Elsevier BV
Date: 12-2010
Publisher: Springer Science and Business Media LLC
Date: 14-06-2016
Publisher: Elsevier BV
Date: 07-2015
Publisher: Elsevier BV
Date: 02-2019
Location: Australia
Start Date: 2018
End Date: 2023
Funder: Social Sciences and Humanities Research Council of Canada
View Funded ActivityStart Date: 2014
End Date: 2016
Funder: Fonds de recherche du Québec-Société et culture
View Funded ActivityStart Date: 2009
End Date: 2012
Funder: Social Sciences and Humanities Research Council of Canada
View Funded Activity