This study analyzes the dimensionality, reliability, metric invariance, and convergent validity of the Schoolwork Engagement Inventory (SEI) in secondary education. Participants in the study were 679 students in compulsory and post-compulsory secondary education in a large city in Eastern Spain during the 2014-2015 academic year. Confirmatory factor analysis (CFA) showed that the one-factor model of the SEI is superior to the other alternative models considered, providing an overall schoolwork engagement score in this educational stage. Reliability was also adequate and the instrument was found to be invariant by gender and educational level. Latent mean comparisons revealed a significant decline in schoolwork engagement throughout secondary compulsory education, and returning to higher levels in post-compulsory secondary education. A CFA also showed SEI’s convergent validity with self-regulated learning, given its direct relationship with metacognitive strategies and self-efficacy for learning, and its inverse relationship with test anxiety.

Appleton, J. J., Christenson, S. L., Kim, D., Reschly, A. L. (2006). Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument. Journal of School Psychology, 44, 427-445. doi:10.1016/j.jsp.2006.04.002
Google Scholar | ISI
Archambault, I., Janosz, M., Morizot, J., Pagani, L. (2009). Adolescent behavioral, affective, and cognitive engagement in school: Relationship to dropout. Journal of School Health, 79, 408-415. doi:10.1111/j.1746-1561.2009.00428.x
Google Scholar | Medline | ISI
Bandalos, D. L., Finney, S. J. (2001). Item parceling issues in structural equation modeling. In Marcoulides, G. A., Schumacker, R. E. (Eds.), New developments and techniques in structural equation modeling (pp. 269-296). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar
Bentler, P. M., Wu, E. J. C. (2002). EQS 6 for Windows: User’s guide. Encino, CA: Multivariate Software.
Google Scholar
Betts, J. E., Appleton, J. J., Reschly, A. L., Christenson, S. L., Huebner, E. S. (2010). A study of the factorial invariance of the Student Engagement Instrument (SEI): Results from middle and high school students. School Psychology Quarterly, 25, 84-93. doi:10.1037/a0020259
Google Scholar | ISI
Bresó, E., Schaufeli, W., Salanova, M. (2011). Can a self-efficacy-based intervention decrease burnout, increase engagement, and enhance performance? A quasi-experimental study. Higher Education, 61, 339-355. doi:10.1007/s10734-010-9334-6
Google Scholar | ISI
Byrne, B. M. (2012). Structural Equation Modeling with Mplus. Basic Concepts, Application, Programming. New York, NY: Routledge.
Google Scholar
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464-504. doi:10.1080/10705510701301834
Google Scholar | ISI
Cheung, G. W., Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 235-255. doi:10.1207/S15328007SEM0902_5
Google Scholar | ISI
de Bruin, G. P., Henn, C. M. (2013). Dimensionality of the 9-item Utrecht Work Engagement Scale (UWES-9). Psychological Reports, 112, 788-799. doi:10.1539/joh.15-0057-OA
Google Scholar | SAGE Journals | ISI
Finn, J. (1989). Withdrawing from school. Review of Educational Research, 59, 117-142.
Google Scholar | SAGE Journals | ISI
Finney, S. J., DiStefano, C. (2013). Nonnormal and categorical data in structural equation modeling. In Hancock, G. R., Mueller, R. O. (Eds.), Structural equation modeling: A second course (2nd ed., pp. 439-492). Charlotte, NC: Information Age.
Google Scholar
Fong, T. C., Ho, R. T. (2015). Dimensionality of the 9-item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach. Journal of Occupational Health, 57, 353-358. doi:10.1539/joh.15-0057-OA
Google Scholar | Medline
Fredricks, J. A., Blumenfeld, P. C., Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74, 59-109. doi:10.3102/00346543074001059
Google Scholar | SAGE Journals | ISI
Fredricks, J. A., McColskey, W. (2012). The measurement of student engagement: A comparative analysis of various methods and student self-report instruments. In Christenson, S. L., Reschly, A. L., Wylie, C. (Eds.), Handbook of research on student engagement (pp. 763-782). New York, NY: Springer.
Google Scholar
Hau, K. T., Marsh, H. (2004). The use of item parcels in structural equation modelling: Non-normal data and small sample sizes. British Journal of Mathematical and Statistical Psychology, 57, 327-351. doi:10.1111/j.2044-8317.2004.tb00142.x
Google Scholar | Medline | ISI
Hu, L., Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. doi:10.1080/10705519909540118
Google Scholar | ISI
Lam, S. F., Jimerson, S., Kikas, E., Cefai, C., Veiga, F. H., Nelson, B., . . . Zollneritsch, J. (2012). Do girls and boys perceive themselves as equally engaged in school? The results of an international study from 12 countries. Journal of School Psychology, 50, 77-94. doi:10.1016/j.jsp.2011.07.004
Google Scholar | Medline | ISI
Lam, S. F., Jimerson, S., Wong, B. P., Kikas, E., Shin, H., Veiga, F. H., . . .Zollneritsch, J. (2014). Understanding and measuring student engagement in school: The results of an international study from 12 countries. School Psychology Quarterly, 29, 213-232. doi:10.1037/spq0000057
Google Scholar | Medline | ISI
Little, T. D. (1997). Mean and covariance structures (MACS) analyses of cross-cultural data: Practical and theoretical issues. Multivariate Behavioral Research, 32, 53-76. doi:10.1207/s15327906mbr3201_3
Google Scholar | Medline | ISI
Little, T. D., Rhemtulla, M., Gibson, K., Schoemann, A. M. (2013). Why the items versus parcels controversy needn’t be one. Psychological Methods, 18, 285-300. doi:10.1037/a0033266
Google Scholar | Medline | ISI
Lovelace, M. D., Reschly, A. L., Appleton, J. J., Lutz, M. E. (2014). Concurrent and predictive validity of the Student Engagement Instrument. Journal of Psychoeducational Assessment, 32, 509-520. doi:10.1177/0734282914527548
Google Scholar | SAGE Journals | ISI
Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519-530.
Google Scholar | ISI
Pacheco, N. E., Durán, M. A. D., Rey, L. (2007). Inteligencia emocional y su relación con los niveles de burnout, engagement y estrés en estudiantes universitarios [Emotional intelligence and its relation with burnout, engagement and stress levels in university students]. Revista de Educación, 342, 239-256.
Google Scholar
Parra, P., Pérez, C. (2010). Propiedades psicométricas de la escala de compromiso académico, UWES-S (versión abreviada), en estudiantes de psicología [Psychometric properties of the Academic Engagement Scale, UWES-S (abbreviated version), in psychology students]. Revista de Educación en Ciencias de la Salud, 7, 128-133.
Google Scholar
Pintrich, P. R., de Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33-40. doi:10.1037/0022-0663.82.1.33
Google Scholar | ISI
Raykov, T. (2004). Behavioral scale reliability and measurement invariance evaluation using latent variable modeling. Behavioral Therapy, 35, 299-331. doi:10.1016/S0005-7894(04)80041-8
Google Scholar | ISI
Reeve, J., Tseng, C. (2011). Agency as a fourth aspect of students’ engagement during learning activities. Contemporary Educational Psychology, 36, 257-267. doi:10.1016/j.cedpsych.2011.05.002
Google Scholar
Reschly, A. L., Christenson, S. L. (2012). Jingle, jangle, and conceptual haziness: Evolution and future directions of the engagement construct. In Christenson, S. L., Reschly, A. L., Wylie, C. (Eds.), Handbook of research on student engagement (pp. 3-20). New York, NY: Springer.
Google Scholar
Salmela-Aro, K., Upadyaya, K. (2012). The Schoolwork Engagement Inventory: Energy, dedication, and absorption (EDA). European Journal of Psychological Assessment, 28, 60-67. doi:10.1027/1015-5759/a000091
Google Scholar | ISI
Salmela-Aro, K., Upadyaya, K. (2014a). Developmental trajectories of school burnout: Evidence from two longitudinal studies. Learning and Individual Differences, 36, 60-68. doi:10.1016/j.lindif.2014.10.016
Google Scholar
Salmela-Aro, K., Upadyaya, K. (2014b). School burnout and engagement in the context of demands–resources model. British Journal of Educational Psychology, 84, 137-151. doi:10.1111/bjep.12018
Google Scholar | Medline | ISI
Schaufeli, W. B., Bakker, A. B. (2003). UWES–Utrecht Work Engagement Scale: Test manual. Unpublished Manuscript, Department of Psychology, Utrecht University, Utrecht, The Netherlands.
Google Scholar
Schaufeli, W. B., Martinez, I. M., Pinto, A. M., Salanova, M., Bakker, A. B. (2002). Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33, 464-481. doi:10.1177/0022022102033005003
Google Scholar | SAGE Journals | ISI
Schaufeli, W. B., Salanova, M. (2007). Efficacy or inefficacy, that’s the question: Burnout and work engagement, and their relationships with efficacy beliefs. Anxiety, Stress, & Coping, 20, 177-196. doi:10.1080/10615800701217878
Google Scholar | Medline | ISI
Seppälä, P., Mauno, S., Feldt, T., Hakanen, J., Kinnunen, U., Tolvanen, A., Schaufeli, W. (2009). The construct validity of the Utrecht Work Engagement Scale: Multisample and longitudinal evidence. Journal of Happiness Studies, 10, 459-481. doi:10.1007/s10902-008-9100-y
Google Scholar | ISI
Skinner, E. A., Kindermann, T. A., Furrer, C. J. (2009). A motivational perspective on engagement and disaffection: Conceptualization and assessment of children’s behavioral and emotional participation in academic activities in the classroom. Educational and Psychological Measurement, 69, 493-525. doi:10.1177/0013164408323233
Google Scholar | SAGE Journals | ISI
Stoeber, J., Childs, J. H., Hayward, J. A., Feast, A. R. (2011). Passion and motivation for studying: Predicting academic engagement and burnout in university students. Educational Psychology, 31, 513-528. doi:10.1080/01443410.2011.570251
Google Scholar | ISI
Tuominen-Soini, H., Salmela-Aro, K. (2014). Schoolwork engagement and burnout among Finnish high school students and young adults: Profiles, progressions, and educational outcomes. Developmental Psychology, 50, 649-662. doi:10.1037/a0033898
Google Scholar | Medline | ISI
Tuominen-Soini, H., Salmela-Aro, K., Niemivirta, M. (2008). Achievement goal orientations and subjective well-being: A person-centred analysis. Learning and Instruction, 18, 251-266. doi:10.1016/j.learninstruc.2007.05.003
Google Scholar | ISI
Tuominen-Soini, H., Salmela-Aro, K., Niemivirta, M. (2011). Stability and change in achievement goal orientations: A person-centered approach. Contemporary Educational Psychology, 36, 82-100. doi:10.1016/j.cedpsych.2010.08.002
Google Scholar
Tuominen-Soini, H., Salmela-Aro, K., Niemivirta, M. (2012). Achievement goal orientations and academic well-being across the transition to upper secondary education. Learning and Individual Differences, 22, 290-305. doi:10.1016/j.lindif.2012.01.002
Google Scholar
Upadyaya, K., Salmela-Aro, K. (2013). Engagement with studies and work: Trajectories from postcomprehensive school education to higher education and work. Emerging Adulthood, 1, 247-257. doi:10.1177/2167696813484299
Google Scholar | SAGE Journals
Upadyaya, K., Salmela-Aro, K. (2015a). Cross-lagged associations between study and work engagement dimensions during young adulthood. The Journal of Positive Psychology, 10, 346-358. doi:10.1080/17439760.2014.983958
Google Scholar
Upadyaya, K., Salmela-Aro, K. (2015b). Development of early vocational behavior: Parallel associations between career engagement and satisfaction. Journal of Vocational Behavior, 90, 66-74. doi:10.1016/j.jvb.2015.07.008
Google Scholar
Wang, M. T., Chow, A., Hofkens, T., Salmela-Aro, K. (2015). The trajectories of student emotional engagement and school burnout with academic and psychological development: Findings from Finnish adolescents. Learning and Instruction, 36, 57-65. doi:10.1016/j.learninstruc.2014.11.004
Google Scholar
Zhang, Y., Gan, Y., Cham, H. (2007). Perfectionism, academic burnout and engagement among Chinese college students: A structural equation modeling analysis. Personality and Individual Differences, 43, 1529-1540. doi:10.1016/j.paid.2007.04.010
Google Scholar | ISI
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