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Predicting High School Truancy Among Students in the Appalachian South

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Abstract

Truancy is a considerable problem among adolescents. Considering the historical emphasis on studying truancy in urban regions, a concerted effort is needed to extend this research into rural areas to examine cultural generalizability of findings. The purpose of this study was to assess variables associated with truancy in a rural sample (N = 367) of students attending high school in a southern rural region of the Appalachian Mountains. The primary objective was to assess the relative predictive strength of the following variables: academic performance, religiosity, environmental factors (family structure, parental education, and adolescent perceptions of family functioning), internalizing problems (anxiety, depression, thought problems, attentional problems), externalizing problems (substance use and rule-breaking behaviors), and prosocial overt behaviors (participation in school and leadership activities). Regression analysis indicated that truancy was significantly associated with poor school performance, increased depression, social problems, having a less educated mother, a less structured home environment, higher grade, and decreased participation in school sports. Editors’ Strategic Implications: These findings are critical for the understanding of truancy in rural areas, and they highlight contextual factors that must be identified and addressed through systematic prevention programs targeting adolescents at risk for truancy.

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References

  • Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA School-age forms and profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families.

    Google Scholar 

  • American Psychiatric Association. (2000). Practice guideline for the treatment of patients with major depressive disorder (revision). American Journal of Psychiatry, 157, 1–45.

    Google Scholar 

  • Baker, M. L., Sigmon, J. N., & Nugent, M. E. (2001). Truancy reduction: Keeping students in school. Juvenile Justice Bulletin. Washington, DC: Office of Juvenile Justice and Delinquency Prevention.

    Google Scholar 

  • Barnow, S., Schultz, G., Lucht, M., Ulrich, I., Preuss, U. W., & Freyberger, H. J. (2004). Do alcohol expectancies and peer delinquency/substance use mediate the relationship between impulsivity and drinking behavior in adolescence? Alcohol and Alcoholism, 39, 213–219.

    Article  PubMed  Google Scholar 

  • Bergin, A. E. (1987). Religiousness and mental health reconsidered: A study of an intrinsically religious sample. Journal of Counseling Psychology, 34, 197–204.

    Article  Google Scholar 

  • Best, B. (1986). The great Appalachian sperm bank and other writings. Berea, KY: Kentucky Imprints.

    Google Scholar 

  • Bimler, D., & Kirkland, J. (2001). School truants and truancy motivation sorted out with multidimensional scaling. Journal of Adolescent Research, 16, 75–102.

    Article  Google Scholar 

  • Birmaher, B., Ryan, N. D., Williamson, D. E., Brent, D. A., Kaufman, J., Dahl, R. E., et al. (1996). Childhood and adolescent depression: A review of the past 10 years. Part I. Journal of the American Academy of Child and Adolescent Psychiatry, 35, 1427–1439.

    Article  PubMed  CAS  Google Scholar 

  • Brandibas, G., Jeunier, B., Clanet, C., & Fouraste, R. (2004). Truancy, school refusal and anxiety. School Psychology International, 25, 117–126.

    Article  Google Scholar 

  • Breuner, C. C., Smith, M. S., & Womack, W. M. (2004). Factors related to school absenteeism in adolescents with recurrent headache. Headache, 44, 217–222.

    Article  PubMed  Google Scholar 

  • Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Bryant, A. L., & Zimmerman, M. A. (2002). Examining the effects of academic beliefs and behaviors on changes in substance use among urban adolescents. Journal of Educational Psychology, 94, 621–637.

    Article  Google Scholar 

  • Catalano, F. R., Arthur, M. W., Hawkins, J. D., Berglund, L., & Olson, J. J. (1998). Comprehensive community- and school-based interventions to prevent antisocial behavior. In R. Loeber & D. Farington (Eds.), Serious and violent juvenile offenders: Risk factors and successful interventions (pp. 248–283). Thousand Oaks: Sage.

    Google Scholar 

  • Chapman, M. V., & Sawyer, J. S. (2001). Bridging the gap for students at-risk of school failure: A social work initiated middle to high school transition program. Children and Schools, 23, 235–241.

    Google Scholar 

  • Cicchetti, D., & Toth, S. L. (1998). The development of depression in children and adolescents. American Psychologist, 53, 221–241.

    Article  PubMed  CAS  Google Scholar 

  • Conger, K. J., Conger, R. D., & Scaramella, L. V. (1997). Parents, siblings, psychological control, and adolescent adjustment. Journal of Adolescent Research, 12, 113–138.

    Article  Google Scholar 

  • Conger, R. D., Lorenz, F. O., Elder, G. H., Melby, J. N., Simons, R. L., & Conger, K. J. (1991). A process model of family economic pressure and early adolescent alcohol use. Journal of Early Adolescence, 11, 430–449.

    Article  Google Scholar 

  • Costello, E. J., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 60, 837–844.

    Article  PubMed  Google Scholar 

  • Featherstone, D. R., Cundick, B. P., & Jensen, L. C. (1993). Differences in school behavior and achievement between children from intact, reconstituted, and single-parent families. Family Therapy, 20, 37–48.

    Google Scholar 

  • Ford, J., & Sutphen, R. D. (1996). Early intervention to improve attendance in elementary school at-risk children: A pilot program. Social Work in Education, 18, 95–102.

    Google Scholar 

  • Forsterling, F., & Binser, M. J. (2002). Depression, school performance and the veridicality of perceived grades and causal attributions. Personality and Social Psychology Bulletin, 28, 1441–1449.

    Article  Google Scholar 

  • Gary, E. (1996). Truancy: First step to a lifetime of problems. Washington, DC: Office of Juvenile Justice and Delinquency Prevention.

    Google Scholar 

  • Gerber, S. B. (1996). Extracurricular activities and academic achievement. Journal of Research and Development in Education, 30, 42–50.

    Google Scholar 

  • Gottesman, I. I. (1997). Twins: En route to QTL’s for cognition. Science, 276, 1522–1523.

    Article  PubMed  CAS  Google Scholar 

  • Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate data analysis (4th ed.). Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Hallfors, D., Cho, H., Brodish, P. H., Flewelling, R., & Khatapoush, S. (2006). Identifying high school students “at risk” for substance use and other behavioral problems: Implications for prevention. Substance Use and Misuse, 41, 1–15.

    Article  PubMed  Google Scholar 

  • Hallfors, D., Vevea, J. L., Iritani, B., Cho, H., Khatapoush, S., & Saxe, L. (2002). Truancy, grade point average, and sexual activity: A meta-analysis of risk indicators for youth substance use. The Journal of School Health, 72, 205–211.

    Article  PubMed  Google Scholar 

  • Hardy, S. A., & Raffaelli, M. (2003). Adolescent religiosity and sexuality: An investigation of reciprocal Influences. Journal of Adolescence, 26, 731–739.

    Article  PubMed  Google Scholar 

  • Hawkins, J. D., & Weiss, J. G. (1985). The social development model: An integrated approach to delinquency prevention. The Journal of Primary Prevention, 6, 73–97.

    Article  Google Scholar 

  • Henry, K. L. (2007). Who’s skipping school: Characteristics of truants in 8th and 10th grade. Journal of School Health, 77, 29–35.

    Article  PubMed  Google Scholar 

  • Henry, K. L., & Huizinga, D. H. (2007a). School-related risk and protective factors associated with truancy among urban youth placed at risk. The Journal of Primary Prevention, 28, 505–519.

    Article  PubMed  Google Scholar 

  • Henry, K. L., & Huizinga, D. H. (2007b). Truancy’s effects on the onset of drug use among urban adolescents placed at risk. Journal of Adolescent Health, 40, 9–17.

    Article  Google Scholar 

  • Hibbert, A., & Fogelman, K. (1990). Future lives of truants: Family formation and health-related behavior. British Journal of Educational Psychology, 60, 171–179.

    Google Scholar 

  • Hirschi, T. (1969). Causes of delinquency. Oxford: University of California Press.

    Google Scholar 

  • Hollon, T. H. (1970). Poor school performance as a symptom of masked depression in children and adolescents. American Journal of Psychotherapy, 25, 258–263.

    Google Scholar 

  • Hopko, D. R., Lejuez, C. W., Ruggiero, K. J., & Eifert, G. H. (2003). Contemporary behavioral activation treatments for depression: Procedures, principles, progress. Clinical Psychology Review, 23, 699–717.

    Article  PubMed  Google Scholar 

  • Howard, R. C., Haynes, J. P., & Atkinson, D. (1986). Factors associated with juvenile detention truancy. Adolescence, 21, 357–364.

    PubMed  CAS  Google Scholar 

  • Jacobson, K. C., & Crockett, L. J. (2000). Parental monitoring and adolescent adjustment: An ecological perspective. Journal of Research on Adolescence, 10, 65–97.

    Article  Google Scholar 

  • Jansma, H., & Cohen de Lara, N. (1990). Family climate in families with problem children. Ultrecht, The Netherlands: Institute of Social Sciences, Department of Child Studies.

    Google Scholar 

  • Jessor, R. (1987). Problem-behavior theory, psychosocial development, and adolescent problem drinking. British Journal of Addiction, 82, 331–342.

    Article  PubMed  CAS  Google Scholar 

  • Jessor, R., & Jessor, S. L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York: Academic Press.

    Google Scholar 

  • Kaplan, D. S., Peck, B. M., & Kaplan, H. B. (1994). Structural relations model of self-rejection, disposition to deviance, and academic failure. Journal of Educational Research, 87, 166–173.

    Google Scholar 

  • Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., et al. (2003). The epidemiology of major depressive disorder: Results from the national comorbidity survey replication (NCS-R). Journal of the American Medical Association, 289, 3095–3105.

    Article  PubMed  Google Scholar 

  • Kronick, R. (2005). Full service community school: Prevention of delinquency in students with mental illness and/or poverty. Springfield, IL: Charles C. Thomas.

    Google Scholar 

  • Laundra, K. H., Kiger, G., & Bahr, S. J. (2002). A social development model of serious delinquency: Examining gender differences. The Journal of Primary Prevention, 22, 389–407.

    Article  Google Scholar 

  • Leitenberg, H., & Saltzman, H. (2000). A statewide survey of age at first intercourse for adolescent females and age of their male partners: Relation to other risk behaviors and statutory rape implications. Archives of Sexual Behavior, 29, 203–215.

    Article  PubMed  CAS  Google Scholar 

  • Lewinsohn, P. M. (1974). A behavioral approach to depression. In R. M. Friedman & M. M. Katz (Eds.), The psychology of depression: Contemporary theory and research (pp. 157–178). New York: Wiley.

    Google Scholar 

  • Lucia, V. C., & Breslau, N. (2006). Family cohesion and children’s behavior problems: A longitudinal investigation. Psychiatry Research, 141, 141–149.

    Article  PubMed  Google Scholar 

  • Luster, T., & Small, S. T. (1994). Factors associated with sexual risk-taking behaviors among adolescents. Journal of Marriage and the Family, 56, 622–632.

    Article  Google Scholar 

  • Mancini, J. A., & Sporakowski, M. J. (1994). Mental measurements yearbook. Lincoln, NE: University of Nebraska Press.

    Google Scholar 

  • Matherne, M. M., & Thomas, A. (2001). Family environment as a predictor of adolescent delinquency. Adolescence, 36, 655–664.

    PubMed  CAS  Google Scholar 

  • McCartt, A. T., Shabanova, V. I., & Leaf, W. A. (2003). Driving experience, crashes and traffic citations of teenage beginning drivers. Accident Analysis and Prevention, 35, 311–320.

    Article  PubMed  Google Scholar 

  • McCaughlin, T. F., & Vachu, E. F. (1992). The at-risk student: A proposal of action. Journal of Instructional Psychology, 19, 66–68.

    Google Scholar 

  • Meier, M. H., Slutske, W. S., Arndt, S., & Cadoret, R. J. (2007). Positive alcohol expectancies partially mediate the relation between delinquent behavior and alcohol use: Generalizability across age, sex, and race in a cohort of 85,000 Iowa school children. Psychology of Addictive Behaviors, 21, 25–34.

    Article  PubMed  Google Scholar 

  • Milevsky, A., & Levitt, M. J. (2004). Intrinsic and extrinsic religiosity in preadolescence and adolescence: Effect on psychological adjustment. Mental Health, Religion and Culture, 7, 307–321.

    Article  Google Scholar 

  • Miller, P., & Plant, M. (1999). Truancy and perceived school performance: An alcohol and drug study of UK teenagers. Alcohol and Alcoholism, 34, 886–893.

    Article  PubMed  CAS  Google Scholar 

  • Moos, R. H., & Moos, B. S. (2002). Family environment scale manual: Development, applications, research (3rd ed.). Palo Alto, CA: Mind Garden.

    Google Scholar 

  • Morris, P. W., Horne, A. M., Jessell, J. C., Walker, J. M., & Sayger, T. V. (1988). Behavioral and cognitive characteristics of fathers of aggressive and well-behaved boys. Journal of Cognitive Psychotherapy: An International Quarterly, 2, 251–265.

    Google Scholar 

  • Muijs, D., Harris, A., Chapman, C., Stoll, L., & Russ, J. (2004). Improving schools in socioeconomically disadvantaged areas: A review of research evidence. School Effectiveness and School Improvement, 15, 149–175.

    Article  Google Scholar 

  • Mullis, R. L., Rathge, R., & Mullis, A. K. (2003). Predictors of academic performance during early adolescence: A contextual review. International Journal of Behavioral Development, 27, 541–548.

    Article  Google Scholar 

  • Murphy, J. M., Pagano, M. E., Nachmani, J., Sperling, P., Kane, S., & Kleinman, R. E. (1998). The relationship of school breakfast to psychosocial and academic functioning. Archives of Pediatrics and Adolescent Medicine, 152, 899–907.

    PubMed  CAS  Google Scholar 

  • National Center for School Engagement. (2006). Truancy in Denver: Prevalence, effects, and interventions. Denver: National Truancy Prevention Association.

    Google Scholar 

  • Newsome, W. S. (2004). Solution-focused brief therapy group work with at-risk junior high school students: Enhancing the bottom line. Research on Social Work Practice, 14, 336–343.

    Article  Google Scholar 

  • O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41, 673–690.

    Article  Google Scholar 

  • Perneger, T. V. (1998). What’s wrong with Bonferroni adjustments? British Medical Journal, 316, 1236–1238.

    PubMed  CAS  Google Scholar 

  • Quinn, W. H. (2004). Family solutions for youth at risk: Applications to juvenile delinquency, truancy, and behavior problems. New York: Brunner-Routledge.

    Google Scholar 

  • Robins, L. N., & Ratcliff, K. S. (1978). Long-range outcomes associated with school truancy. Washington, DC: Public Health Service.

    Google Scholar 

  • Robinson, T. N., Hammer, L. D., Wilson, D. M., Killen, J. D., Kraemer, H. C., Hayward, C., et al. (1993). Does television viewing increase obesity and reduce physical activity? Cross sectional and longitudinal analyses among adolescent girls. Pediatrics, 91, 273–280.

    PubMed  CAS  Google Scholar 

  • Roche, K. M., Ahmed, S., & Blum, R. W. (2008). Enduring consequences of parenting for risk behaviors from adolescence into early adulthood. Social Science and Medicine, 66, 2023–2034.

    Article  PubMed  Google Scholar 

  • Schinke, S. P., Cole, K. C., & Poulin, S. R. (2000). Enhancing the educational achievement of at-risk youth. Prevention Science, 1, 51–60.

    Article  PubMed  CAS  Google Scholar 

  • Silliker, S. A., & Quirk, J. T. (1997). The effect of extracurricular activity participation on the academic performance of male and female high school students. School Counselor, 44, 288–293.

    Google Scholar 

  • Smith, C., Denton, M. L., Faris, R., & Regenerus, M. (2002). Mapping American adolescent religious participation. Journal for the Scientific Study of Religion, 41, 597–612.

    Article  Google Scholar 

  • Thomas, D. L., & Carver, C. (1990). Religion and adolescent social competence. In T. P. Gullotta, G. R. Adams, & R. Montemayor (Eds.), Developing social competency in adolescence (Vol. 3, pp. 195–219). Newbury Park, CA: Sage.

    Google Scholar 

  • Thomas, G., Farrell, M. P., & Barnes, G. M. (1994). The effects of single-mother families and nonresident fathers on delinquency and substance abuse in black and white adolescents. Journal of Marriage and the Family, 58, 884–894.

    Article  Google Scholar 

  • Tolan, P. H., & Lorion, R. P. (1988). Multivariate approaches to the identification of delinquency proneness in adolescent males. American Journal of Community Psychology, 16, 547–561.

    Article  PubMed  CAS  Google Scholar 

  • Wallace, J. M., & Forman, T. A. (1998). Religion’s role in promoting health and reducing risk among American youth. Health Education and Behavior, 25, 721–741.

    Article  PubMed  Google Scholar 

  • Wehlage, M., Fyfe, J., Campbell, S., & Goldkamp, J. (1986). Dropping out: How much do schools contribute to the problem? Teachers College Record, 87, 374–392.

    Google Scholar 

  • Wentzel, K. R., & Feldman, S. S. (1993). Parental predictors of boys’ self-restraint and motivation to achieve at school: A longitudinal study. Journal of Early Adolescence, 13, 183–203.

    Article  Google Scholar 

  • White, M. D., Fyfe, J. J., Campbell, S. P., & Goldcamp, J. S. (2001). The school-police partnership: Identifying at-risk youth through a truant recovery program. Evaluation Review, 25, 507–532.

    Article  PubMed  CAS  Google Scholar 

  • Williams, E., & Radin, N. (1993). Paternal involvement, maternal employment, and adolescents’ academic achievement: An 11-year follow-up. American Journal of Orthopsychiatry, 63, 306–312.

    Article  PubMed  CAS  Google Scholar 

  • Wills, T. A., Yaeger, A. M., & Sandy, J. M. (2003). Buffering effect of religiosity for adolescent substance use. Psychology of Addictive Behaviors, 17, 24–31.

    Article  PubMed  Google Scholar 

  • Worthington, E. L., Jr., Wade, N. G., Hight, T. L., Ripley, J. S., McCullough, M. E., Berry, J. W., et al. (2003). The religious commitment inventory—10: Development, refinement, and validation of a brief scale for research and counseling. Journal of Counseling Psychology, 50, 84–96.

    Article  Google Scholar 

  • Youniss, J., McLellan, J. A., & Yates, M. (1999). Religion, community service, and identity in American youth. Journal of Adolescence, 22, 243–253.

    Article  PubMed  CAS  Google Scholar 

  • Zimmerman, M. A., Caldwell, C. H., & Bernat, D. H. (2002). Discrepancy between self-reported and school-reported grade point average: Correlates with psychosocial outcomes among African American adolescents. Journal of Applied Social Psychology, 32, 86–109.

    Article  Google Scholar 

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Hunt, M.K., Hopko, D.R. Predicting High School Truancy Among Students in the Appalachian South. J Primary Prevent 30, 549–567 (2009). https://doi.org/10.1007/s10935-009-0187-7

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