Exploratory two-level analysis of individual-and school-level factors on truant youth emotional/psychological functioning
Open accessAbstract
Research on samples of truant adolescents is limited, with little known about mental health problems among truant youths. This study provided an exploratory, multilevel examination of mental health problems for a sample of 300 truant adolescents. Confirmatory factor analysis indicated a single factor of multiple mental health problems at the individual level, but the structure of these problems was not the same at the school level. A number of covariate effects were found at the individual level on the mental health factor. Further, youths attending middle school were more likely to report attention deficit hyperactivity disorder (ADHD) problems than those in high school. Service and practice implications of better understanding school and mental health issues of truant youth are discussed.
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School refusal is often linked to internalizing difficulties such as anxiety and depression, whereas truancy is often linked to externalizing difficulties such as oppositional and conduct problems.
“School refusal is often linked to internalizing difficulties such as anxiety and depression, whereas truancy is often linked to externalizing difficulties such as oppositional and conduct problems”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as Dembo et al., 2016
Categories of risk and contextual factors for SA/A are sometimes studied singularly, though many recent approaches have utilized more sophisticated multilevel modeling and related statistical procedures to examine these categories collectively.
“Categories of risk and contextual factors for SA/A are sometimes studied singularly (e.g., Hendron and Kearney, 2016), though many recent approaches have utilized more sophisticated multilevel modeling and related statistical procedures to examine these categories collectively (Dembo et al., 2016; Van Eck et al., 2017; Ramberg et al., 2019).”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as Dembo et al., 2016
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- Authors
- Dembo, R., Wareham, J., Schmeidler, J., & Winters, K. C.
- Affiliations
- University of South Florida (US)
- Wayne State University (US)
- Icahn School of Medicine at Mount Sinai (US)
- University of Minnesota (US)
- Corresponding author
- Dembo, Richard
- Venue
- The Journal of Educational Research
- Publisher
- Informa UK Limited
- Published
- 2016-06-22
- Volume
- 109
- Issue
- 6
- Pages
- 596-607
- ISSN
- 0022-0671 (ISSN-L)
- 1940-0675
- PMC
- PMC5063231
- OpenAlex
- W2475067193
- Cited by
- 15
- References
- 90
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 4 · 2018: 1
- FWCI
- 7.40
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Journal of Educational Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Commons - University of South Florida (University of South Florida) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute on Drug Abuse (R01DA021561)
- Topics
- Social Sciences › Education › Youth Substance Use and School Attendance
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Sociology and Political Science › Psychosocial Factors Impacting Youth
- Keywords
- truancy, adolescent mental health, attention deficit hyperactivity disorder, school factors, personal factors, junior high school students, high school students, multilevel analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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