Demi Culianos

ORCID: 0000-0003-3121-5189
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About
Contact & Profiles
Research Areas
  • Child and Adolescent Psychosocial and Emotional Development
  • Migration, Health and Trauma
  • Racial and Ethnic Identity Research
  • Family and Disability Support Research
  • Child Development and Digital Technology
  • Psychometric Methodologies and Testing
  • Family Support in Illness
  • Suicide and Self-Harm Studies
  • Mental Health Treatment and Access
  • Impact of Technology on Adolescents
  • Youth Substance Use and School Attendance
  • Bullying, Victimization, and Aggression
  • Mental Health Research Topics
  • Advanced Statistical Modeling Techniques
  • Psychosomatic Disorders and Their Treatments

Utah State University
2020-2024

Structural equation model trees (SEM Trees) allow for the construction of decision with structural models fit in each nodes. Based on covariate information, SEM Trees can be used to create distinct subgroups containing individuals similar parameter estimates. Currently, modeling component is implemented R packages OpenMx and lavaan. We extend so that Mplus, hopes its efficiency accessibility a broader group researchers wider range models. discuss Mplus algorithm, implementation, position...

10.1080/10705511.2020.1726179 article EN Structural Equation Modeling A Multidisciplinary Journal 2020-02-19

Whether Latinx families use youth mental health services (MHS) depends on complex influences of barriers and facilitators within outside the home. This research sought to shed light caregiver strain as part equation focused parental identification responses needs. We examined multiple dimensions potential mediators between symptom severity psychological counseling utilization. The present sample consisted 598 caregivers youths ages 6-18 who provided information internalizing externalizing...

10.1371/journal.pone.0302575 article EN cc-by PLoS ONE 2024-04-26

We used a large state-wide sample of adolescent students in 8th, 10th, and 12th grades (N = 58,689) to examine the predictive value screen time on bullying victimization, as well its interaction with age by gender, including transgender gender nonconforming identities. Participants were majority boys/men (52.3%), heterosexual (88.1%), White (73.7%). Findings generally supported previous literature related cisgender differences, but highlighted differences for youth. While technology use,...

10.1080/15388220.2023.2175363 article EN Journal of School Violence 2023-02-06
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