Truant Students: School Experiences and Individual Characteristics
Author(s):
Tuomo Virtanen (presenting / submitting) Matti Kuorelahti
Conference:
ECER 2011
Format:
Paper

Session Information

05 SES 09 B, Truancy, School Bonding and Misconduct and Drop-Out

Paper Session

Time:
2011-09-15
10:30-12:00
Room:
JK 27/106,G, 42
Chair:
Mark Hadfield

Contribution

Compared with attention to dropping out (Epstein & Sheldon, 2002, 308) and despite of prevalence and negative outcomes of truancy (Pomeroy, 1999, 466) very little is done to understand truant behaviour in order to prevent it (Hunt & Hopko, 2009, 550; Veenstra, Lindenberg, Tinga, & Ormel, 2010, 302). Many school-level intervention programs are generally initiated after students have lost valuable learning time (Hunt & Hopko, 2009, 550). In this exploratory study we consider truancy as a problematic interaction between a student and environment (see Bronfenbrenner, 1979). As was evidenced by van der Aa and his colleagues 45% of the variance in liability to truancy was accounted for by genetic and 55% by environmental influences (van der Aa, Rebollo-Mesa, Willemsen, Boomsma, & Bartels, 2009, 584). Theoretical framework of the study is derived form the concept of school engagement. It is a multidimensional concept which is often divided into three components. Affective component covers good relationships to teachers and classmates and the sense of belonging. Behavioral component is described in terms of good behavior, persistence and participation. Cognitive component reflects person’s values, motivation, self-regulation and learning styles. (Fredricks, Blumenfeld, & Paris, 2004, 59-61; Glanville & Wildhagen, 2007; Libbey, 2004, 274.) Hence we consider truancy as a warning sign of school disengagement.

 

In the present study we describe the characteristics, school experiences, and home factors associated with truancy. The objective is to identify predictors of different categories of truancy with the long-term goals to utilize the knowledge to better identify high-risk students and promote empirically-based interventions. The main research question was: “What individual, home and school variables predict non-truant, occasionally truant and persistently truant behaviour in Finnish secondary schools (grades 7-9)?”. Three factors were expected to influence on truant behaviour: school engagement, school burnout and self-esteem. School attendance is often seen as the most important indicator of being engaged, and, for some students, absenteeism represents disengagement in education (Pellerin, 2005, 284). Lowered self-esteem is also related to attendance problems (Englander, 1986) whereas burnout is relatively new concept in the school context (Salmela-Aro, Kiuru, Pietikäinen, & Jokela, 2008, 12). It was hypothesized that low level of school engagement and self-esteem are related with truanting behaviour as well as high level of school burnout.

Method

Before data collection in November and December 2010 headmasters (N=23) participating in national school development project were informed about the purpose of the study. Nine of them volunteered and they randomly selected half of the entire classes of each school. Parents were informed about the purpose of the study and only students who obtained consent from their parents were allowed to participate (N=784). Students completed the Internet-based questionnaire during a lesson. Student engagement was measured with Finnish version of Student Engagement Instrument (Appleton, Christenson, Kim, & Reschly, 2006, 436), school burnout with Bergen Burnout Inventory (Salmela-Aro & Näätänen, 2005) and self-esteem with Finnish version of Rosenberg’s Self-Esteem Scale (Rosenberg, 1965, 17-18). The completed data were subsequently scanned into a SPSS data file. Multinominal logistic regression was used to explore truancy patterns in relation to variation by student characteristics, school factors and home factors. By means of logistic regression it is possible to control for a number of factors simultaneously. For the analyses three different models were formed. In the first model, we compared non-truant with occasionally truant behaviour, in the second model, non-truant with persistently truant behaviour, and finally in the third model, occasional truant with persistently truant behaviour.

Expected Outcomes

The preliminary analysis supports the posited hypothesis. In general students with truant behaviour (16% of the sample) experienced less teacher and family support and their control and relevance of the school work was lower compared to others. The same was true in terms of their future goal setting and motivation. They experienced more school burn out, and their self-esteem was lower. They didn’t work as hard, paid as much attention in class and didn’t regard school as valuable as non-truants did. They also tended to come in to the classes unprepared. In addition, the academic performance of students with truant behaviour was poorer, and they tended to pursue continuing their school career in vocational track instead of academic track after compulsory education. Because of academic difficulties they were much often involved in part-time special education and remedial instruction. Students with truant behaviour also regarded themselves as being less successful at school, and believed teachers seeing them on the same way. In our data students’ background variables like gender, family structure, immigration status, SES, the school they attended or grade level didn’t play any significant role. Even experienced peer support didn’t differ between the groups.

References

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(5), 427-445. Bronfenbrenner, U. (1979). The Ecology of Human Development. Cambridge, Mass: Harvard University Press. Englander, M. E. (1986). Truancy/Self-esteem. A paper presented at the annual meeting of the American Educational Research Association, April 1986. Epstein, J. L., & Sheldon, S. B. (2002). Present and Accounted for: Improving student attendance through family and community involvement. Journal of Educational Research, 95(5), 308-18. Glanville, J. L., & Wildhagen, T. (2007). The Measurement of School Engagement: Assessing dimensionality and measurement invariance across race and ethnicity. Educational & Psychological Measurement, 67(6), 1019-1041. Hunt, M. K., & Hopko, D. R. (2009). Predicting High School Truancy among Students in the Appalachian South. Journal of Primary Prevention, 30(5), 549-567. Libbey, H. P. (2004). Measuring Student Relationships to School: Attachment, bonding, connectedness, and engagement. Journal of School Health, 74(7), 274-283. Pellerin, L. A. (2005). Applying Baumrind's Parenting Typology to High Schools: Toward a middle-range theory of authoritative socialization. Social Science Research., Electronic; 34(2), 283-303. Pomeroy, E. (1999). The Teacher-Student Relationship in Secondary School: Insights from excluded students. British Journal of Sosiology of Education, 20(4), 465-482. Rosenberg, M. (1965). Society and the Adolescent Self-Image. Princeton (N.J.): Princeton University Press. Salmela-Aro, K., Kiuru, N., Pietikäinen, M., & Jokela, J. (2008). Does School Matter?: The role of school context in adolescents' school-related burnout. European Psychologist, 13(1), 12-23. Salmela-Aro, K., & Näätänen, P. (2005). Nuorten koulu-uupumusmittari BBI-10 [Adolescents' School Burnout Inventory]. Helsinki: Edita. van der Aa, N., Rebollo-Mesa, I., Willemsen, G., Boomsma, D. I., & Bartels, M. (2009). Frequency of Truancy at High School: Evidence for genetic and twin specific shared environmental influences. Journal of Adolescent Health, 45(6), 579-586.

Author Information

Tuomo Virtanen (presenting / submitting)
University of Jyväskylä
Department of Education, Special Education
Jyskä
University of Oulu
Faculty of Education / Kajaani University Consortium
Jyväskylä

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