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A Comparison of Variable- and Person-Oriented Approaches in Evaluating a Universal Preventive Intervention

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Abstract

Evaluations of prevention programs, such as the PAX Good Behavior Game (PAX), often have multiple outcome variables (e.g., emotional, behavioral, and relationship problems). These are often reported for multiple time points (e.g., pre- and post-intervention) where data are multilevel (e.g., students nested in schools). In this paper, we present both variable-oriented and person-oriented statistical approaches, to evaluate an intervention program with multilevel, longitudinal multivariate outcomes. Using data from the Manitoba PAX Study, we show how these two approaches provide us with different information that can be complementary. Data analyses with the variable-oriented approach (multilevel linear regression model) provided us with overall PAX program effects for each outcome variable; the person-oriented approach (latent transition analysis) allowed us to explore the transition of multiple outcomes across multiple time points and how the intervention program affects this transition differently for students with different risk profiles. We also used both approaches to examine how gender and socio-economic status related to the program effects. The implications of these results and the use of both types of approaches for program evaluation are discussed.

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References

  • Bauer, D. J., & Curran, P. J. (2004). The integration of continuous and discrete latent variable models: Potential problems and promising opportunities. Psychological Methods, 3–29.

  • Bergman, L. R., & Anderson, H. (2010). The person and the variable in developmental psychology. Zeitschrift für Psychologie, 218, 155–165.

    Article  Google Scholar 

  • Bergman, L. R., Magnusson, D., & El-Khouri, B. M. (2003). Studying individual development in an interindividual context. Mahwah, NJ: Erlbaum.

    Book  Google Scholar 

  • Bradshaw, C. P., Zmuda, J. H., Kellam, S. G., & Ialongo, N. S. (2009). Longitudinal impact of two universal preventive interventions in first grade on educational outcomes in high school. Journal of Educational Psychology, 101, 926–937.

    Article  PubMed  PubMed Central  Google Scholar 

  • Chateau, D., Metge, C., Prior, H., & Soodeen, R. (2012). Learning from the census: The socio-economic factor index (SEFI) and health outcomes in Manitoba. Canadian Journal of Public Health, 103, S23–S27.

    PubMed  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. New York, NY: Routledge.

    Google Scholar 

  • Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis with applications in the social, behavioral, and health sciences. Hoboken, NJ: Wiley.

    Google Scholar 

  • Embry, D. D. (2002). The good behavior game: A best practice candidate as a universal behavioral vaccine. Clinical Child & Family Psychology Review 5(4), 273–297.

  • Flower, A., McKenna, J. W., Bunuan, R. L., Muething, C. S., & Vega, R. (2014). Effects of the good behavior game on challenging behaviors in school settings. Review of Educational Research, 84, 546–571.

    Article  Google Scholar 

  • Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of of Child Psychological Psychiatry, 38, 581–586.

    Article  CAS  Google Scholar 

  • Greenberg, M. T., & Abenavoli, R. (2017). Universal intervention: Fully exploring their impacts and potential to produce population-level impacts. Journal of Research on Educational Effectiveness, 10, 40–67.

    Article  Google Scholar 

  • Lanza, S. T., & Rhoades, B. L. (2012). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14, 157–168.

    Article  Google Scholar 

  • Laursen, B., & Hoff, E. (2006). Person-centered and variable-centered approaches to longitudinal data. Merrill-Palmer Quarterly, 52, 377–389.

    Article  Google Scholar 

  • Leflot, G., van Lier, P. A. C., Onghena, P., & Colpin, H. (2010). The role of teacher behavior management in the development of disruptive behaviors: An intervention study with the good behavior game. Journal of Abnormal Child Psychology, 38, 869–882.

    Article  PubMed  Google Scholar 

  • Leflot, G., van Lier, P.A.C., Onghena, P. & Colpin, H. (2013). The role of children’s on-task behavior management in the prevention of aggressive behaviors development and peer rejection: A randomized controlled study of the good behavior game. Journal of School Psychology, 51, 187–199,

  • Little, R. J. (1995). Modeling the dropout mechanism in repeated-measures studies. Journal of the American Statistical Association, 90, 1112–1121.

    Article  Google Scholar 

  • Mandara, J. (2003). The typological approach in child and family psychology: A review of theory, methods, and research. Clinical Child and Family Psychology Review, 6, 129–146.

    Article  PubMed  Google Scholar 

  • McCartney, K., & Rosenthal, R. (2000). Effect size, practical importance, and social policy for children. Child Development, 71, 173–180.

    Article  PubMed  CAS  Google Scholar 

  • Muthén, B., & Satorra, A. (1995). Complex sample data in structural equation modeling. In P. Marsden (Ed.) Sociological Methodology, 1995, 216–316.

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models (2nd ed.). Thousand Oaks, California: Sage.

    Google Scholar 

  • Petras, H., Kellam, S. G., Brown, C. H., Muthén, B. O., Ialongo, N. S., & Poduska, J. M. (2008). Developmental epidemiological courses leading to antisocial personality disorder and violent and criminal behavior: Effects by young adulthood of a universal preventive intervention in first- and second-grade classrooms. Drug and Alcohol Dependence, 95, S45–S59.

    Article  PubMed  PubMed Central  Google Scholar 

  • Spilt, J. L., Koot, J. M., & van Lier, P. A. C. (2013). For whom does it work? Subgroup differences in the effects of a school-based universal prevention program. Prevention Science, 14, 479–488.

    Article  PubMed  Google Scholar 

  • Thompson, A. M., Macy, R. J., & Fraser, M. W. (2011). Assessing person-centered outcomes in practice research: A latent transition profile framework. Journal of Community Psychology, 39, 987–1002.

    Article  Google Scholar 

  • van Lier, P. A. C., Muthén, B. O., van der Sar, R. M., & Crijnen, A. A. M. (2004). Preventing disruptive behavior in elementary schoolchildren: Impact of a universal classroom-based intervention. Journal of Consulting Clinical Psychology, 72, 467–478.

    Article  PubMed  Google Scholar 

  • van Lier, P. A. C., Vuijk, P., & Crijnen, A. A. M. (2005). Understanding mechanisms of change in the development of antisocial behavior: The impact of a universal intervention. Journal of Abnormal Child Psychology, 33, 521–535.

    Article  PubMed  Google Scholar 

  • Yoshikawa, H., Aber, J. L., & Beardslee, W. R. (2012). The effects of poverty on the mental, emotional, and behavioral health of children and youth: Implications for prevention. American Psychologist, 67, 272–284.

    Article  PubMed  Google Scholar 

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Funding

Preparation of this paper was supported in part by a grant from the Research Manitoba Applied Health Services Program and Canadian Institute for Health Research Project Grant.

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Correspondence to Depeng Jiang.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with ethical standards of the institutional (i.e., University of Manitoba) research committee and with 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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In accordance with The Healthy Child Manitoba Act, no informed consents or permissions from parents are required. But a note was given to their parents that they can remove their child and/or come to the school to review the questionnaire in advance and then either allow their child to proceed or remove them.

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Jiang, D., Santos, R., Josephson, W. et al. A Comparison of Variable- and Person-Oriented Approaches in Evaluating a Universal Preventive Intervention. Prev Sci 19, 738–747 (2018). https://doi.org/10.1007/s11121-018-0881-x

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