Co-Development of Student Agency Components and Its Impact on Educational Attainment—Theoretical and Methodological Considerations

REFERENCES

• Archambault, I., Eccles, J., & Vida, M. N. (2010). Ability self-concepts and subjective value in literacy: Joint trajectories from grades 1 through 12. Journal of Educational Psychology, 102(4), 804–816. doi:10.1037/a0021075
   Web of Science ®Google Scholar
• Baeckman, O., & Nilsson, A. (2011). Pathways to social exclusion—A life-course study. European Sociological Review, 27(1), 107–123. doi:10.1093/esr/jcp064
   Google Scholar
• Bask, M., & Salmela-Aro, K. (2013). Burned out to drop out: Exploring the relationship between school burnout and school dropout. European Journal of Psychology of Education, 28(2), 511–528. doi:10.1007/s10212-012-0126-5
   Web of Science ®Google Scholar
• Blossfeld, H.-P., Buchholz, S., Skopek, J., & Triventi, M. (Eds.). (2016). Models of secondary education and social inequality: An international comparison. Cheltenham, England & Northampton, MA: Edward Elgar.
   Google Scholar
• Caspi, A., Elder, G. H., & Bem, D. J. (1988). Moving away from the world: Life-course patterns of shy children. Developmental Psychology, 24(6), 824–831. doi:10.1037/0012-1649.24.6.824
   Web of Science ®Google Scholar
• Cole, D. A., & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577. doi:10.1037/0021-843X.112.4.558
   PubMed Web of Science ®Google Scholar
• Curran, P. J., Obeidat, K., & Losardo, D. (2010). Twelve frequently asked questions about growth curve modeling. Journal of Cognitive Development, 11(2), 121–136. doi:10.1080/15248371003699969Twelve
   PubMed Web of Science ®Google Scholar
• Denissen, J. J. A., Zarrett, N. R., & Eccles, J. S. (2007). I like to do it, I’m able, and I know I am: Longitudinal couplings between domain- specific achievement, self-concept, and interest. Child Development, 78(2), 430–447. doi:10.1111/j.1467-8624.2007.01007.x
   PubMed Web of Science ®Google Scholar
• Domina, T., Conley, A. M., & Farkas, G. (2011). The link between educational expectations and effort in the college-for-all era. Sociology of Education, 84(2), 93–112. doi:10.1177/1941406411401808
   Web of Science ®Google Scholar
• Ferrer, E., & McArdle, J. J. (2003). Alternative structural models for multivariate longitudinal data analysis. Structural Equation Modeling, 10(4), 493–524. doi:10.1207/s15328007sem1004
   Web of Science ®Google Scholar
• Garson, G. D. (2013). Hierarchical linear modeling. Guide and applications. Thousand Oaks, CA: Sage.
   Google Scholar
• Gottfried, A. E., Marcoulides, A. G., Gottfried, A. W., Oliver, P. H., & Guerin, D. W. (2007). Multivariate latent change modeling of developmental decline in academic intrinsic math motivation and achievement: Childhood through adolescence. International Journal of Behavioral Development, 31(4), 317–327. doi:10.1177/0165025407077752
   Web of Science ®Google Scholar
• Green, J., Liem, G. A. D., Martin, A. J., Colmar, S., Marsh, H. W., & McInerney, D. (2012). Academic motivation, self-concept, engagement, and performance in high school: Key processes from a longitudinal perspective. Journal of Adolescence, 35(5), 1111–1122. doi:10.1016/j.adolescence.2012.02.016
   PubMed Web of Science ®Google Scholar
• Grimm, K. J., An, Y., McArdle, J. J., Zonderman, A. B., & Resnick, S. M. (2012). Recent changes leading to subsequent changes: Extensions of multivariate latent difference score models. Structural Equation Modeling: A Multidisciplinary Journal, 19(2), 268–292. doi:10.1080/10705511.2012.659627
   PubMed Web of Science ®Google Scholar
• Hawley, L. L., Ho, M.-H. R., Zuroff, D. C., & Blatt, S. J. (2006). The relationship of perfectionism, depression, and therapeutic alliance during treatment for depression: Latent difference score analysis. Journal of Consulting and Clinical Psychology, 74(5), 930–942. doi:10.1037/0022-006X.74.5.930
   PubMedGoogle Scholar
• Heckhausen, J., Wrosch, C., & Fleeson, W. (2001). Developmental regulation before and after a developmental deadline: The sample case of “biological clock” for childbearing. Psychology and Aging, 16(3), 400–413. doi:10.1037/0882-7974.16.3.400
   PubMed Web of Science ®Google Scholar
• Hughes, J. N., Luo, W., Kwok, O.-M., & Loyd, L. K. (2008). Teacher-student support, effortful engagement, and achievement: A 3-year longitudinal study. Journal of Educational Psychology, 100(1), 1–14. doi:10.1037/0022-0663.100.1.1.Teacher
   PubMed Web of Science ®Google Scholar
• Laursen, B., & Hoff, E. (2006). Person-centered and variable-centered zpproaches to longitudinal data. Merill-Palmer Quarterly, 52(3), 377–389. doi:10.1353/mpq.2006.0029
   Web of Science ®Google Scholar
• Li, Y., & Lerner, R. M. (2013). Interrelations of behavioral, emotional, and cognitive school engagement in high school students. Journal of Youth and Adolescence, 42(1), 20–32. doi:10.1007/s10964-012-9857-5
   PubMed Web of Science ®Google Scholar
• Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford Press.
   Google Scholar
• Maaz, K., Trautwein, U., Lüdtke, O., & Baumert, J. (2008). Educational transitions and differential learning environments: How explicit between-school tracking contributes to social inequality in educational outcomes. Child Development Perspectives, 2(2), 99–106. doi:10.1111/j.1750-8606.2008.00048.x
   Web of Science ®Google Scholar
• Marsh, H. W., Trautwein, U., Lüdtke, O., Köller, O., & Baumert, J. (2005). Academic self-concept, interest, grades, and standarized test scores. Reciprocal effects models of causal ordering. Child Development, 76(2), 397–416. doi:10.1111/j.1467-8624.2005.00853.x
   PubMed Web of Science ®Google Scholar
• Martin, A. J., & Liem, G. A. D. (2010). Academic personal bests (PBs), engagement, and achievement: A cross-lagged panel analysis. Learning and Individual Differences, 20(3), 265–270. doi:10.1016/j.lindif.2010.01.001
   Web of Science ®Google Scholar
• McArdle, J. J. (2009). Latent variable modeling of differences and changes with longitudinal data. Annual Review of Psychology, 60, 577–605. doi:10.1146/annurev.psych.60.110707.163612
   PubMed Web of Science ®Google Scholar
• Meece, J. L., Hutchins, B. C., Byun, S. T. W. F., Irvin, M. J., & Weiss, M. (2013). Preparing for adulthood: A recent examination of the alignment of rural youth’s future educational and vocational aspirations. Journal of Educational and Developmental Psychology, 3(2), 175–192. doi:10.5539/jedp.v3n2p175
   Google Scholar
• Muthén, B., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism, Clinical and Experimental Research, 24(6), 882–891. doi:10.1111/j.1530-0277.2000.tb02070.x
   PubMed Web of Science ®Google Scholar
• Neumann, M., Schnyder, I., Trautwein, U., Niggli, A., Lüdtke, O., & Cathomas, R. (2007). Schulformen als differenzielle Lernmilieus. Institutionelle und kompositionelle Effekte auf die Leistungsentwicklung im Fach Franzoesisch [School types as differential learning environments: Institutional and compositional effects on achievement gains in French as a foreign language]. Zeitschrift Für Erziehungswissenschaft, 10(3), 399–420. doi:10.1007/s11618-007-0043-6
   Google Scholar
• Nurmi, J.-E. (2004). Socialization and self-development: Channeling, selection, adjustment and rejection. In R. Lerner, & L. Steinberg (Eds.), Handbook of adolescent psychology (pp. 85–124). New York, NY: Wiley.
   Google Scholar
• Otis, N., Grouzet, F. M. E., & Pelletier, L. G. (2005). Latent motivational change in an academic setting: A 3-year longitudinal study. Journal of Educational Psychology, 97(2), 170–183. doi:10.1037/0022-0663.97.2.170
   Web of Science ®Google Scholar
• Paleari, F. G., & Fincham, F. D. (2015). The reciprocal relationship between husbands and wives’ marital forgiveness: A two-wave cross-lagged latent difference score analysis of ten-year data. Testing, Psychometrics, Methodology in Applied Psychology, 22(2), 1–22. doi:10.4473/TPM22.2
   Google Scholar
• Preacher, K. J., Wichman, A. L., MacCallum, R. C., & Briggs, N. E. (2008). Latent growth curve modeling. Thousand Oaks, CA: Sage.
   Google Scholar
• Sabates, R., Harris, A. L., & Staff, J. (2011). Ambition gone awry: The long-term socioeconomic consequences of misaligned and uncertain ambitions in adolescence. Social Science Quarterly, 92(4), 959–977. doi:10.1111/j.1540-6237.2011.00799.x
   PubMed Web of Science ®Google Scholar
• Salmela-Aro, K. (2009). Personal goals and well-being during critical life transitions: The four C’s—Channelling, choice, co-agency and compensation. Advances in Life Course Research, 14, 63–73. doi:10.1016/j.alcr.2009.03.003
   Web of Science ®Google Scholar
• Schmitt-Wilson, S., & Faas, C. (2016). Alignment of educational and occupational expectations influences on young adult educational attainment, income, and underemployment. Social Science Quarterly, 97(5), 1174–1188. doi:10.1111/ssqu.12244
   Web of Science ®Google Scholar
• Schneider, B., & Stevenson, D. (1999). The ambitious generation: America’s teenagers, motivated but directionless. New Haven, CT: Yale University Press.
   Google Scholar
• Skinner, E., Furrer, C., Marchand, G., & Kindermann, T. (2008). Engagement and disaffection in the classroom: Part of a larger motivational dynamic? Journal of Educational Psychology, 100(4), 765–781. doi:10.1037/a0012840
   Web of Science ®Google Scholar
• Triventi, M., Kulic, N., Skopek, J., & Blossfeld, H.-P. (2016). Secondary school systems and inequality of educational opportunity in contemporary societies. In H.-P. Blossfeld, S. Buchholz, J. Skopek, & M. Triventi (Eds.), Models of secondary education and societal inequality. An international comparison (pp. 3–24). Cheltenham, England & Northampton, MA: Edward Elgar.
   Google Scholar
• Uno, M., Mortimer, J. T., Kim, M., & Vuolo, M. (2010). “Holding on” or “Coming to terms” with educational underachievement: A longitudinal study of ambition and attainment. In S. Shulman & J.-E. Nurmi (Eds.), The role of goals in navigating individual lives during emerging adulthood. New directions for child and adolescent development (pp. 41–56). Hoboken, NJ: Wiley.
   Google Scholar
• Usami, S., Hayes, T., & McArdle, J. J. (2015). On the mathematical relationship between latent change score and autoregressive cross-lagged factor approaches: Cautions for inferring causal relationship between variables. Multivariate Behavioral Research, 50(6), 676–687. doi:10.1080/10705511.2015.1066680
   PubMed Web of Science ®Google Scholar
• Verboom, C. E., Sijtsema, J. J., Verhulst, F. C., Penninx, B. W. J. H., & Ormel, J. (2014). Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls. Developmental Psychology, 50(1), 247–257. doi:10.1037/a0032547
   PubMed Web of Science ®Google Scholar
• Wang, M. T., & Eccles, J. (2011). Adolescent behavioral, emotional, and cognitive engagement trajectories in school and their differential relations to educational success. Journal of Research on Adolescence, 22(1), 31–39. doi:10.1111/j.1532-7795.2011.00753.x
   Web of Science ®Google Scholar
• Wang, M. T., & Fredricks, J. A. (2014). The reciprocal links between school engagement, youth problem behaviors, and school dropout during adolescence. Child Development, 85(2), 722–737. doi:10.1111/cdev.12138
   PubMed Web of Science ®Google Scholar
• Wigfield, A., Eccles, J. S., Fredricks, J. A., Simpkins, S., Roeser, R. W., & Schiefele, U. (2015). Development of achievement motivation and engagement. In R. M. Lerner (Eds.), Handbook of child psychology and developmental science (7th ed., pp. 1–44). New York, NY: John Wiley & Sons, Inc. doi:10.1002/9781118963418.childpsy316
   Google Scholar