Differences in cognitive, motivational and contextual variables between under-achieving, normally-achieving, and over-achieving studentsA mixed-effects analysis
- Alejandro Veas Iniesta 1
- José Antonio López-López 2
- Raquel Gilar Corbí 1
- Pablo Miñano Pérez 1
- Juan Luis Castejón Costa 1
-
1
Universitat d'Alacant
info
-
2
University of Bristol
info
ISSN: 0214-9915
Argitalpen urtea: 2017
Alea: 29
Zenbakia: 4
Orrialdeak: 533-538
Mota: Artikulua
Beste argitalpen batzuk: Psicothema
Laburpena
Background: There are few studies in Spain which analyze the infl uence of individual, motivational and contextual variables, which might be different between underachieving, normally achieving and overachieving students. Method: A total of 1,398 Spanish high school students participated. Mixed-effects models were used to analyze data. Results: The results showed some evidence of: (a) Partial mediational effect of self-concept on the association between cognitive ability and academic achievement. (b) Higher levels of learning goals in the overachieving group than in the underachieving group, but no differences in achievement and reinforcement goals between groups. (c) Positive effect of learning strategies on attainment, both in the underachieving and the nonunderachieving students. (d) Little effect of context variables on academic achievement, both in the underachieving and non-underachieving students. Conclusions: Underachieving students seem to employ all the learning strategies considered to a lesser extent than normally and overachieving students. They also have a lower level of learning goals. On the contrary, overachieving students score more highly than under and normally achieving students in almost all of the above factors.
Finantzaketari buruzko informazioa
The present work was supported by the Spanish Ministry of Economy and Competitiveness (Award number: EDU2012-32156) and the Vice Chancellor for Research of the University of Alicante (Award number: GRE11-15). This work has also been developed thanks to an academic stay of the corresponding author at the University of Bristol (Reference of the grant: EEBB-I-15_09943).Finantzatzaile
-
- EDU2012-32156
-
Universidad de Alicante
Spain
- GRE11-15
-
University of Bristol
United Kingdom
- EEBB-I-15_09943
Erreferentzia bibliografikoak
- Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
- Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. doi: 10.18637/jss.v067.i01
- Beltrán, J., Pérez, L., & Ortega, M. (2006). CEA: Cuestionario de estrategias de aprendizaje [Learning strategies Questionnaire]. Madrid, Spain: TEA.
- Cattell, R. (1994). Test de factor “g” de Cattell, escala 2 (forma A) [Cattell Factor “g” test, scale 2 (form A). Institute for Personality and Ability Testing]. Madrid, Spain: TEA.
- Cerezo, F. (2000). BULL-S. test de evaluación de la agresividad entre escolares [BULL-Test for assessing agressiveness among school students]. Bizcaia, Spain: Albor-Cohs.
- Dedrick, R. F., Shaunessy-Dedrick, E., Suldo, S. M., & Ferron, J. M. (2015). Psychometric properties of the school attitude assessment Survey-Revised with international baccalaureate high school students. Gifted Child Quarterly, 59(1), 38-54. doi: 10.1177/001698621459596
- Dittrich, E. (2014). Underachievement leading to downgrading at the highest level of secondary education in the netherlands: A longitudinal case study. Roeper Review, 36(2), 104-113. doi: 10.1080/02783193.2014.884201
- García, M., González-Pienda, J. A., Núñez, J. C., González, S., Alvárez, L., Roces, C., González-Cabanach, R., & Valle, A. (1998). El cuestionario de metas académicas (CMA). Un instrumento para la evaluación de la orientación motivacional de los alumnos de educación secundaria. Aula Abierta, 71, 175-199.
- González-Pienda, J. A., Núñez, J. C., González-Pumariega, S., Roces, C., García, M., González, P., & Valle, A. (2000). Autoconcepto, proceso de atribución causal y metas académicas en niños con y sin dificultades de aprendizaje [Self-concept, causal attribution process and academic goals in children with and without learning disabilities]. Psicothema, 12(4), 548-556.
- González-Pienda, J. A., Núñez, J. C., González-Pumariega, S., Alvarez, L., Roces, C., & García, M. (2002). A structural equation model of parental involvement, motivational and aptitudinal characteristics, and academic achievement. The Journal of Experimental Education, 70(3), 257-287.
- Hayamizu, T., & Weiner, B. (1991). A test of dweck´s model of achievement goals as related to perceptions of ability. The Journal of Experimental Education, 59(3), 226-234.
- Hsieh, P., Sullivan, J. R., & Guerra, N. S. (2007). A closer look at college students: Self-efficacy and goal orientation. Journal of Advanced Academics, 18(3), 454-476. doi: 10.4219/jaa-2007-500
- Jeynes, W. (2010). The salience of the subtle aspects of parental involvement and encouraging that involvement: Implications for school-based programs. The Teachers College Record, 112(3), 747-774.
- Lau, K., & Chan, D. W. (2001). Identification of underachievers in hong kong: Do different methods select different underachievers? Educational Studies, 27(2), 187-200. doi: 10.1080/03055690120050419
- 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(2), 183-206. doi: 10.1111/j.2044-8279.2010.02013.x
- Lu, L., Weber, H. S., Spinath, F. M., & Shi, J. (2011). Predicting school achievement from cognitive and non-cognitive variables in a chinese sample of elementary school children. Intelligence, 39(2), 130-140. doi: 10.1016/j.intell.2011.02.002
- Marsh, H. W. (1990). A multidimensional hierarchical model of selfconcept: Theoretical and empirical justification. Educational Psychology Review, 2(2), 77-172. doi: 10.1007/BF01322177
- Matthews, M. S., & McBee, M. T. (2007). School factors and the underachievement of gifted students in a talent search summer program. Gifted Child Quarterly, 51(2), 167-181. doi: 10.1177/0016986207299473
- McCoach, D. B., & Siegle, D. (2003). Factors that differentiate underachieving gifted students from high-achieving gifted students. Gifted Child Quarterly, 47(2), 144-154. doi: 10.1177/00169862030400205
- McCoach, D. B., & Siegle, D. (2011). Underachievers, In R. J. Levesque (Ed.), Encyclopedia of Adolescence (pp. 3025-3032). New York, NY: Springer Science & Business Media.
- Obergriesser, S., & Stoeger, H. (2015). The role of emotions, motivation, and learning behavior in underachievement and results of an intervention. High Ability Studies, 26(1), 167-190. doi: 10.1080/13598139.2015.1043003
- Phillipson, N. S. (2008). The optimal achievement model and underachievement in hong kong: An application of the rasch model. Psychology Science Quarterly, 50(2), 147-172.
- Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891. doi: 10.3758/BRM.40.3.879
- Precker, F., & Brunner, M. (2015). Academic self-concept, achievement goals, and achievement: Is their relation the same for academic achievers and underachievers? Gifted and Talented International, 30(1-2), 68-84. doi: 10.1080/15332276.2015.1137458
- R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
- Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models. Thousand Oaks, Calif: SAGE.
- Schwartz, D., Gorman, A. H., Nakamoto, J., & McKay, T. (2006). Popularity, social acceptance, and aggression in adolescent peer groups: Links with academic performance and school attendance. Developmental Psychology, 42(6), 1116. doi: 10.1037/0012-1649.42.6.1116
- Smith, E. (2003). Understanding underachievement: An investigation into the differential attainment of secondary school pupils. British Journal of Sociology of Education, 24(5), 575-586. doi: 10.1080/0142569032000127143
- Veas, A., Gilar, R., Castejón, J. L., & Miñano, P. (2016a). Underachievement in Compulsory Secondary Education in Spain: A comparison of statistical methods for identification. European Journal of Investigation in Health, Psychology and Education, 6(3), 107-122. doi: 10.1989/ejihpe.v6i3.175
- Veas, A., Gilar, R., Miñano, P., & Castejón, J. L. (2016b). Estimation of the proportion of underachieving students in Compulsory Secondary Education in Spain: An application of the Rasch model. Frontiers in Psychology, 7, 303. doi: 10.3389/fpsyg.2016.00303
- Veas, A., Castejón, J., Gilar, R., & Miñano, P. (2015). Academic achievement in early adolescence: The influence of cognitive and noncognitive variables. The Journal of General Psychology, 142(4), 273-294. doi: 10.3389/fpsyg.2016.00303
- Wentzel, K. R., & Caldwell, K. (1997). Friendships, peer acceptance, and group membership: Realtions to academic achievement in middle school. Child Development, 68(6), 1198-1209. doi: 10.2307/113.2301
- Wilder, S. (2014). Effects of parental involvement on academic achievement: A meta-synthesis. Educational Review, 66(3), 377-397. doi: 10.1080/00131911.2013.780009
- Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197-206. doi: 10.1086/651257
- Zuffianò, A., Alessandri, G., Gerbino, M., & Luengo, B. P. (2013). Academic achievement: The unique contribution of self-efficacy beliefs in selfregulated learning be. Learning and Individual Differences, 23, 158-162. doi: 10.1016/j.lindif.2012.07.010