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15-06-2022 | Original Paper

Paths 2 the Future and the Development of Perceived Peer Support: A Mixed Methods Study

Auteurs: Katherine W. Bromley, Kara Hirano, Atika Khurana, Leslie D. Leve, Lauren Lindstrom

Gepubliceerd in: Journal of Child and Family Studies | Uitgave 11/2022

Abstract

This study used a convergent mixed methods design to examine environmental and curricular influences on peer relationships and support for young women with disabilities within a clustered, randomized controlled trial of a gender-specific, disability-focused intervention, Paths 2 the Future (P2F). Pre- and post-intervention surveys of perceptions of peer support were collected from 366 young women with disabilities in 26 high schools in the Northwest region of the U.S. Focus groups were conducted with 112 participants from the intervention group to examine participant perceptions regarding how P2F influenced their relationships. Survey data were analyzed using an intent to treat analysis approach using hierarchical linear modeling. Focus group data were analyzed using deductive and inductive strategies. The effect of the P2F on peer support was non-significant in our quantitative model, whereas qualitative themes suggested participants developed new relationships, closeness, and skills that support peer relationships as a result of the transformation of space, transformation of peer relationships, and transformation of self. The integration of qualitative and quantitative data indicated discordance, which was reconciled through additional quantitative analyses that suggested focus group participants, but not the overall intervention group, experienced significant increases in peer support from pre- to post-intervention.

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Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2008). Student engagement with school: critical conceptual and methodological issues of the construct. Psychology in the Schools, 45(5), 369–386. https://doi.org/10.1002/pits.20303.CrossRef

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. https://doi.org/10.1016/j.jsp.2006.04.002.CrossRef

Asmus, J. M., Carter, E. W., Moss, C. K., Biggs, E. E., Bolt, D. M., Born, T. L., Bottema-Beutel, K., Brock, M. E., Cattey, G. N., Cooney, M., Fesperman, E. S., Hochman, J. M., Huber, H. B., Lequia, J. L., Lyons, G. L., Vincent, L. B., & Weir, K. (2017). Efficacy and social validity of peer network interventions for high school students with severe disabilities. American Journal on Intellectual and Developmental Disabilities, 122(2), 118–137. https://doi.org/10.1352/1944-7558-122.2.118.CrossRefPubMed

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01.CrossRef

Blau, P. M. (1994). Structural contexts of opportunities. The University of Chicago Press.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77–101.CrossRef

Carley, K. (1991). A theory of group stability. American Sociological Review, 56(3), 331–354. https://doi.org/10.2307/2096108.CrossRef

Christenson, S. L., & Thurlow, M. L. (2004). School dropouts: prevention considerations, interventions, and challenges. Current Directions in Psychological Science, 13(1), 36–39. https://doi.org/10.1111/j.0963-7214.2004.01301010.x.CrossRef

Chu, P. S., Saucier, D. A., & Hafner, E. (2010). Meta-analysis of the relationships between social support and well-being in children and adolescents. Journal of Social and Clinical Psychology, 29(6), 624–645. https://doi.org/10.1521/jscp.2010.29.6.624.CrossRef

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.

DeGarmo, D. S., & Gewirtz, A. H. (2019). Fixed allocation and dynamic adaptive intervention designs for family psychology. In B. Fiese (Ed.), APA handbook of contemporary family psychology: Vol. 1. Foundations, methods, and contemporary issues across the lifespan (pp. 353–368). American Psychological Association. https://doi.org/10.1037/0000099-020.

Doren, B., Murray, C., & Gau, J. M. (2014). Salient predictors of school dropout among secondary students with learning disabilities. Learning Disabilities Research & Practice, 29(4), 150–159. https://doi.org/10.1111/ldrp.12044.CrossRef

Estell, D. B., & Perdue, N. H. (2013). Social support and behavioral and affective school engagement: the effects of peers, parents, and teachers. Psychology in the Schools, 50(4), 325–339. https://doi.org/10.1002/pits.21681.CrossRef

Estell, D. B., Jones, M. H., Pearl, R., & Van Acker, R. (2009). Best friendships of students with and without learning disabilities across late elementary school. Exceptional Children, 76(1), 110–124. https://doi.org/10.1177/001440290907600106.CrossRef

Farmer, T. W., Lines, M. M., & Hamm, J. V. (2011). Revealing the invisible hand: the role of teachers in children’s peer experiences. Journal of Applied Developmental Psychology, 32(5), 247–256. https://doi.org/10.1016/j.appdev.2011.04.006.CrossRef

Farmer, T. W., Dawes, M., Hamm, J. V., Lee, D., Mehtaji, M., Hoffman, A. S., & Brooks, D. S. (2018). Classroom social dynamics management: why the invisible hand of the teacher matters for special education. Remedial and Special Education, 39(3), 177–192. https://doi.org/10.1177/0741932517718359.CrossRef

Feld, S. L. (1981). The focused organization of social ties. American Journal of Sociology, 86(5), 1015–1035. https://doi.org/10.1086/227352.CrossRef

Fetters, M. D., & Molina-Azorin, J. F. (2017). The Journal of Mixed Methods Research starts a new decade: the mixed methods research integration trilogy and its dimensions. Journal of Mixed Methods Research, 11(3), 291–307. https://doi.org/10.1177/1558689817714066.CrossRef

Fisher, K. W., & Shogren, K. A. (2016). The influence of academic tracking on adolescent social networks. Remedial and Special Education, 37(2), 89–100. https://doi.org/10.1177/0741932515616758.CrossRef

Frank, K. A., Muller, C., & Mueller, A. S. (2013). The embeddedness of adolescent friendship nominations: the formation of social capital in emergent network structures. American Journal of Sociology, 119(1), 216–253. https://doi.org/10.1086/672081.CrossRef

Hallinan, M. T., & Sørensen, A. B. (1985). Ability grouping and student friendships. American Educational Research Journal, 22(4), 485–499. https://doi.org/10.3102/00028312022004485.CrossRef

Juvonen, J., Espinoza, G., & Knifsend, C. (2012). The role of peer relationships in student academic and extracurricular engagement. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 387–401). Springer.

Knowles, J. E., Frederick, C., & Whitworth, A. (2019). merTools: Tools for analyzing mixed effect regression models (R package version 0.5.0) [Computer software]. https://cran.r-project.org/web/packages/merTools/index.html

Kreider, C. M., Bendixen, R. M., Young, M. E., Prudencio, S. M., McCarty, C., & Mann, W. C. (2016). Social networks and participation with others for youth with learning, attention, and autism spectrum disorders. Canadian journal of occupational therapy, 83(1), 14–26. https://doi.org/10.1177/0008417415583107.CrossRef

Lai, M. H. C., & Kwok, O. (2015). Examining the rule of thumb of not using multilevel modeling: the “design effect smaller than two” rule. The Journal of Experimental Education, 83(3), 423–438. https://doi.org/10.1080/00220973.2014.907229.CrossRef

Lindstrom, L., Doren, B., Post, C. & Lombardi, A. (2013). Building career PATHS for young women with disabilities. Career Development Quarterly, 61(4), 330–338. https://doi.org/10.1002/j.2161-0045.2013.00059.x.CrossRef

Lindstrom, L., Hirano, K. A., Ingram, A., DeGarmo, D. S. & Post, C. (2019). "Learning to be myself": Paths 2 the Future career development curriculum for young women with disabilities. Journal of Career Development, 46(4), 469–483. https://doi.org/10.1177/0894845318776795.CrossRef

Lindstrom, L., DeGarmo, D., Khurana, A., Hirano, K. & Leve, L. (2020). Paths 2 the Future: Evidence for the efficacy of a career development intervention for young women with disabilities. Exceptional Children, 87(1), 54–73. https://doi.org/10.1177/0014402920924851.CrossRef

Locke, J., Ishijima, E. H., Kasari, C., & London, N. (2010). Loneliness, friendship quality and the social networks of adolescents with high‐functioning autism in an inclusive school setting. Journal of Research in Special Educational Needs, 10(2), 74–81. https://doi.org/10.1111/j.1471-3802.2010.01148.x.CrossRef

Locke, J., Kasari, C., Rotheram-Fuller, E., Kretzmann, M., & Jacobs, J. (2013). Social network changes over the school year among elementary school-aged children with and without an autism spectrum disorder. School Mental Health, 5, 38–47. https://doi.org/10.1007/s12310-012-9092-y.CrossRef

Mahar, A. L., Cobigo, V., & Stuart, H. (2013). Conceptualizing belonging. Disability and Rehabilitation, 35(12), 1026–1032. https://doi.org/10.3109/09638288.2012.717584.CrossRefPubMed

Marsden, P. V. (2011). Survey methods for network data. In J. Scott & P. J. Carrington (Eds.), The SAGE Handbook of Social Network Analysis (pp. 370–388). SAGE Publications.

Marton, I., Wiener, J., Rogers, M., & Moore, C. (2015). Friendship characteristics of children with ADHD. Journal of Attention Disorders, 19(10), 872–881. https://doi.org/10.1177/1087054712458971.CrossRefPubMed

Mason, P., Timms, K., Hayburn, T., & Watters, C. (2013). How do people described as having a learning disability make sense of friendship? Journal of Applied Research in Intellectual Disabilities, 26(2), 108–118. https://doi.org/10.1111/jar.12001.CrossRefPubMed

McFarland, D. A., Moody, J., Diehl, D., Smith, J. A., & Thomas, R. J. (2014). Network ecology and adolescent social structure. American Sociological Review, 79(6), 1088–1121. https://doi.org/10.1177/0003122414554001.CrossRefPubMedPubMedCentral

McPherson, M., Smith-Lovin, L., & Cook, J. (2001). Birds of a feather: homophily in social networks. Annual Review of Sociology, 27, 415–444. https://doi.org/10.1146/annurev.soc.27.1.415.CrossRef

Miles, M. B., Huberman, A. M., & Saldaña, J. (2020). Qualitative data analysis: a methods sourcebook (4^th edition). SAGE Publications.

Murray, C., & Greenberg, M. T. (2006). Examining the importance of social relationships and social contexts in the lives of children with high-incidence disabilities. The Journal of Special Education, 39(4), 220–233. https://doi.org/10.1177/00224669060390040301.CrossRef

Muth´en, B. O., & Satorra, A. (1995). Complex sample data in structural equation modeling. Sociological Methodology, 25, 267–316. https://www.jstor.org/stable/271070CrossRef

O’Cathain, A., Murphy, E., & Nicholl, J. (2010). Three techniques for integrating data in mixed methods studies. British Medical Journal, 341, c4587 https://doi.org/10.1136/bmj.c4587.CrossRefPubMed

Pham, Y. K., & Murray, C. (2016). Social relationships among adolescents with disabilities: unique and cumulative associations with adjustment. Exceptional Children, 82(2), 234–250. https://doi.org/10.1177/0014402915585491.CrossRef

Pluye, P., Grad, R. M., Levine, A., & Nicolau, B. (2009). Understanding divergence of quantitative and qualitative data (or results) in mixed methods studies. International Journal of Multiple Research Approaches, 3, 58–72. https://link.gale.com/apps/doc/A201211465/AONE?u=euge94201&sid=AONE&xid=f1850d9cCrossRef

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Sage.

Robitzsch, A., Grund, S., & Henke, T. (2020). miceadds: some additional multiple imputation functions, especially for ‘mice’ (R package version 3.8-9) [Computer software]. https://cran.r-project.org/web/packages/miceadds/index.html.

Rossetti, Z., & Keenan, J. (2018). The nature of friendship between students with and without severe disabilities. Remedial and Special Education, 39(4), 195–210. https://doi.org/10.1177/0741932517703713.CrossRef

Rueger, S. Y., Malecki, C. K., Pyun, Y., Aycock, C., & Coyle, S. (2016). A meta-analytic review of the association between perceived social support and depression in childhood and adolescence. Psychological Bulletin, 142(10), 1017–1067. https://doi.org/10.1037/bul0000058.CrossRefPubMed

Shalev, R. A., Asmus, J. M., Carter, E. W., & Moss, C. K. (2016). Attitudes of high school students toward their classmates with severe disabilities: a pilot study. Journal of Developmental and Physical Disabilities, 28, 523–538. https://doi.org/10.1007/s10882-016-9489-x.CrossRef

Tur‐Kaspa, H., Margalit, M., & Most, T. (1999). Reciprocal friendship, reciprocal rejection and socio‐emotional adjustment: the Social experiences of children with learning disorders over a one‐year period. European Journal of Special Needs Education, 14(1), 37–48. https://doi.org/10.1080/0885625990140104.CrossRef

van Buren, S., Groothuis-Oudshoorn, K., Vink, G., Shouten, R., Robitzsch, A., Doove, L., Jolani, S., Moreno-Betancur, M., White, I., Gaffert, P., Meinfelder, F., Gray, B., & Arel-Bundock, V. (2019). mice: Multivariate Imputation by Chained Equations (R package version 3.7.0) [Computer software]. https://cran.r-project.org/web/packages/mice/index.html.

Walls, J., Ryu, J., Fairchild, L., & Johnson, J. (2019). Contexts of belonging: toward a multilevel understanding of caring and engagement in schools. Educational Policy. https://doi.org/10.1177/0895904819843590.

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. https://doi.org/10.1111/cdev.12138.CrossRefPubMed

White, I. R., Royston, P., & Wood, A. M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30(4), 377–399. https://doi.org/10.1002/sim.4067.CrossRefPubMed

Whitehouse, A. J. O., Durkin, K., Jaquet, E., & Ziatas, K. (2009). Friendship, loneliness and depression in adolescents with Asperger’s Syndrome. Journal of Adolescence, 32(2), 309–322. https://doi.org/10.1016/j.adolescence.2008.03.004.CrossRefPubMed

Wiener, J. & Schneider, B. H. (2002). A multisource exploration of the friendship patterns of children with and without learning disabilities. Journal of Abnormal Child Psychology, 30, 127–141. https://doi.org/10.1023/A:1014701215315.

Titel: Paths 2 the Future and the Development of Perceived Peer Support: A Mixed Methods Study
Auteurs: Katherine W. Bromley
Kara Hirano
Atika Khurana
Leslie D. Leve
Lauren Lindstrom
Publicatiedatum: 15-06-2022
Uitgeverij: Springer US
Gepubliceerd in: Journal of Child and Family Studies / Uitgave 11/2022
Print ISSN: 1062-1024
Elektronisch ISSN: 1573-2843
DOI: https://doi.org/10.1007/s10826-022-02333-x

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