Human Development & Quantitative Methodology

Permanent URI for this communityhttp://hdl.handle.net/1903/2248

The departments within the College of Education were reorganized and renamed as of July 1, 2011. This department incorporates the former departments of Measurement, Statistics & Evaluation; Human Development; and the Institute for Child Study.

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Author: search.filters.author.Sweet, Tracy M.

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    Testing the effectiveness of the Developing Inclusive Youth program: A multisite randomized control trial
    (Wiley, 2022-05-25) Killen, Melanie; Burkholder, Amanda R.; D'Esterre, Alexander P.; Sims, Riley N.; Glidden, Jacquelyn; Yee, Kathryn M.; Luken Raz, Katherine V.; Elenbaas, Laura; Rizzo, Michael T.; Woodward, Bonnie; Samuelson, Arvid; Sweet, Tracy M.; Stapleton, Laura M. Killen, M., Burkholder, A. R., D’Esterre, A. P., Sims, R. N., Glidden, J., Yee, K. M., Luken Raz, K. V., Elenbaas, L., Rizzo, M. T., Woodward, B., Samuelson, A., Sweet, T. M., Stapleton, L. M. (2022). Testing the effectiveness of the Developing Inclusive Youth program: A multisite randomized control trial. Child Development, 93, 732–750.
    The Developing Inclusive Youth program is a classroom-based, individually administered video tool that depicts peer-based social and racial exclusion, combined with teacher-led discussions. A multisite randomized control trial was implemented with 983 participants (502 females; 58.5% White, 41.5% Ethnic/racial minority; Mage = 9.64 years) in 48 third-, fourth-, and fifth-grade classrooms across six schools. Children in the program were more likely to view interracial and same-race peer exclusion as wrong, associate positive traits with peers of different racial, ethnic, and gender backgrounds, and report play with peers from diverse backgrounds than were children in the control group. Many approaches are necessary to achieve antiracism in schools. This intervention is one component of this goal for developmental science.
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    A hierarchical latent space network model for mediation
    (Cambridge University Press, 2022-05-30) Sweet, Tracy M.; Adhikari, Samrachana
    For interventions that affect how individuals interact, social network data may aid in understanding the mechanisms through which an intervention is effective. Social networks may even be an intermediate outcome observed prior to end of the study. In fact, social networks may also mediate the effects of the intervention on the outcome of interest, and Sweet (2019) introduced a statistical model for social networks as mediators in network-level interventions. We build on their approach and introduce a new model in which the network is a mediator using a latent space approach. We investigate our model through a simulation study and a real-world analysis of teacher advice-seeking networks.