A Tool for Assessing Truancy Risk Among School Children: Predictive and Construct Validity of the Risk Indicator Survey
Abstract
The Risk Indicator Survey I (RISK I) is a screening tool used to identify the truancy risk level and intervention needs for frequently absent students. Exploratory factor analysis (EFA) and confirmatory factor analysis were used to examine the survey's validity. Sample included 6,239 elementary school children. The RISK I was reduced from 59 items to 32 items on 6 factor subscales, accounting for 49.59% of the variance in EFA. Results support the use of the RISK I as a valid truancy risk screening tool. Future studies should evaluate the RISK I survey tool with a more diverse population.
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So far, only measures have been developed to assess child factors among youth with specific types of school absenteeism, such as school refusal behavior and truancy.
“So far, only measures have been developed to assess child factors among youth with specific types of school absenteeism, such as school refusal behavior (Kearney 2002; Kearney and Silverman 1993) and truancy (Kim and Barthelemy 2010).”
From Risk Factors for School Absenteeism and Dropout: A Meta-Analytic Review (2019) · cites this paper as Kim and Barthelemy 2010
Cites
A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · doi:10.4324/9781315749105 · Cited by 6,604 · see citing works
A Beginner's Guide to Structural Equation Modeling
Schumacker, R. E., & Lomax, R. G. (2004) · doi:10.4324/9781410610904 · Cited by 6,235 · see citing works
Curran, P. J., West, S. G., & Finch, J. F. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.1.16 · Cited by 5,512 · see citing works
Serious and Violent Juvenile Offenders: Risk Factors and Successful Interventions
Janson, C.-G., Loeber, R., & Farrington, D. P. (1999) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2655346 · Cited by 1,893 · see citing works
Asymptotically distribution-free methods for the analysis of covariance structures.
Browne, M. (1984) · British Journal of Mathematical & Statistical Psychology · doi:10.1111/j.2044-8317.1984.tb00789.x · Cited by 1,890 · see citing works
LOEBER, R., & FARRINGTON, D. P. (2000) · Development and Psychopathology · doi:10.1017/s0954579400004107 · Cited by 926 · see citing works
Risk and Resilience in Childhood: An Ecological Perspective
Fräser, M. W. (2004) · Cited by 684 · see citing works
Risk, protection, and resilience: Toward a conceptual framework for social work practice
Fräser, M. W., Galinsky, M. J., & Richman, J. M. (1999) · Social Work Research · doi:10.1093/swr/23.3.131 · Cited by 544 · see citing works
Risk and resilience in childhood
Fräser, M. W., Kirby, L. D., & Smokowski, P. R. (2004) · Cited by 403 · see citing works
Juvenile Court Statistics, 1965
(1967) · PsycEXTRA Dataset · doi:10.1037/e438152008-171 · Cited by 336 · see citing works
Who’s Skipping School: Characteristics of Truants in 8th and 10th Grade
Henry, K. L. (2006) · Journal of School Health · doi:10.1111/j.1746-1561.2007.00159.x · Cited by 271 · see citing works
Perlman, I. R. (1965) · Juvenile Court Judges Journal · doi:10.1111/j.1755-6988.1965.tb01349.x · Cited by 242 · see citing works
The decomposition of multitrait‐multimethod matrices
Browne, M. W. (1984) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1984.tb00785.x · Cited by 223 · see citing works
Absenteeism and Truancy: Risk, Protection, and Best Practice Implications for School Social Workers
Teasley, M. L. (2004) · Children & Schools · doi:10.1093/cs/26.2.117 · Cited by 220 · cited 1× · see citing works
“According to the risk and resilience model, the causes of truancy are related to three risk factors: individual, family/parental, and school (N. Bowen & Bowen, 1998; Smith, 1996; Teasley, 2004).”
BackgroundBurchinal, M. R., Roberts, J. E., Zeisel, S. A., & Rowley, S. J. (2008) · Developmental Psychology · doi:10.1037/0012-1649.44.1.286 · Cited by 203 · see citing works
Asymptotic Robust Inferences in the Analysis of Mean and Covariance Structures
Satorra, A. (1992) · Sociological Methodology · doi:10.2307/270998 · Cited by 155 · see citing works
School-related Risk and Protective Factors Associated with Truancy among Urban Youth Placed at Risk
Henry, K. L., & Huizinga, D. H. (2007) · The Journal of Primary Prevention · doi:10.1007/s10935-007-0115-7 · Cited by 145 · see citing works
Bowen, G. L., & Chapman, M. V. (1996) · Journal of Family Issues · doi:10.1177/019251396017005004 · Cited by 127 · see citing works
Truancy Reduction: Keeping Students in School. Juvenile Justice Bulletin.
Baker, M. L., Sigmon, J. N., & Nugent, M. E. (2001) · Cited by 110 · see citing works
Comprehensive Community- and School-Based Interventions to Prevent Antisocial Behavior
Catalano, R. F., Arthur, M. W., Hawkins, J. D., Berglund, L., & Olson, J. J. (1999) · Sage eBooks · doi:10.4135/9781452243740.n11 · Cited by 106 · see citing works
Co-occurrence of Delinquency and Other Problem Behaviors
Huizinga, D. H., Loeber, R., Thornberry, T. P., & Cothern, L. (2000) · PsycEXTRA Dataset · doi:10.1037/e314292005-001 · Cited by 71 · see citing works
Diversity and difference in the field education encounter: Racial minority students in the practicum
Razack, N. (2001) · Social Work Education · doi:10.1080/02615470120044310 · Cited by 65 · see citing works
Cluster Profiles of Youths Living in Urban Poverty: Factors Affecting Risk and Resilience
Anthony, E. K. (2008) · Social Work Research · doi:10.1093/swr/32.1.6 · Cited by 57 · see citing works
Huizinga, D. H., Loeber, R., Thornberry, T. P., & Cothern, L. (2000) · Cited by 49 · see citing works
Reaching Out to Youth Out of the Education Mainstream
Ingersoll, S., & LeBoeuf, D. (1997) · PsycEXTRA Dataset · doi:10.1037/e302462003-001 · Cited by 45 · see citing works
Changing Conceptions of Measurement Validity
Goodwin, L. D. (1997) · Journal of Nursing Education · doi:10.3928/0148-4834-19970301-04 · Cited by 39 · see citing works
Bowen, N. K., & Bowen, G. L. (1998) · Children & Schools · doi:10.1093/cs/20.4.219 · Cited by 32 · see citing works
School attendance in Hertfordshire
Smith, M. (1996) · Educational Research · doi:10.1080/0013188960380209 · Cited by 8 · see citing works
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Sorted by citations
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Gubbels, J., van der Put, C. E., & Assink, M. (2019) · Journal of Youth and Adolescence · doi:10.1007/s10964-019-01072-5 · Cited by 596 · see citing works
Emerging school refusal: a school-based framework for identifying early signs and risk factors
Ingul, J. M., Havik, T., & Heyne, D. (2019) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2018.03.005 · Cited by 161 · see citing works
Predictors of early elementary school suspension by gender: A longitudinal multilevel analysis
Yang, M., Harmeyer, E., Chen, Z., & Lofaso, B. M. (2018) · Children and Youth Services Review · doi:10.1016/j.childyouth.2018.08.008 · Cited by 40 · see citing works
Children with School Absenteeism: Comparing Risk Factors Individually and in Domains
Lomholt, J. J., Arendt, J. N., Bolvig, I., & Thastum, M. (2021) · Scandinavian Journal of Educational Research · doi:10.1080/00313831.2020.1869085 · Cited by 22 · see citing works
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Wroblewski, A., Dowdy, E. T., Sharkey, J. D., & Kim, E. K. (2018) · Journal of Positive Behavior Interventions · doi:10.1177/1098300718768773 · Cited by 14 · see citing works
Early truancy evaluation: Replication of an evaluation using a regression discontinuity design
Thomas, J. M. (2017) · Children and Youth Services Review · doi:10.1016/j.childyouth.2017.05.020 · Cited by 11 · see citing works
The development of a risk and needs assessment instrument for truancy
van der Put, C. E. (2019) · Children and Youth Services Review · doi:10.1016/j.childyouth.2019.104721 · Cited by 6 · see citing works
Examination of risky truancy behaviors and gender differences among elementary school children
Barthelemy, J. J., Coakley, T. M., Washington, T., Joseph, A., & Eugene, D. R. (2021) · Journal of Human Behavior in the Social Environment · doi:10.1080/10911359.2021.1914265 · Cited by 5 · see citing works
Self-citationSchool Truancy: An Old Problem Which Requires New and Innovative Solutions
van Breda, M. J. (2013) · Journal of Psychology · doi:10.1080/09764224.2013.11885496 · Cited by 3 · see citing works
Thomas, J. M., Thomas, S. A., Drawve, G. R., & Rhodes, J. L. F. (2018) · Journal of Education for Students Placed at Risk (JESPAR) · doi:10.1080/10824669.2018.1537793 · Cited by 2 · see citing works
Forced Truancy and Its Impact on Youth Delinquency in Southeastern Nigeria
Enyiorji, B. E. (2015) · ScholarWorks (Walden University)
Thomas, J. M., & Thomas, S. A. (2018) · Wydawnictwo Uniwersytetu Łódzkiego eBooks · doi:10.18778/8142-108-9.09
- Authors
- Kim, H., & Barthelemy, J. J.
- Affiliations
- Kyonggi University (KR)
- Louisiana State University (US)
- Venue
- Journal of Social Service Research
- Publisher
- Informa UK Limited
- Published
- 2010-12-15
- Volume
- 37
- Issue
- 1
- Pages
- 50-60
- ISSN
- 0148-8376 (ISSN-L)
- 1540-7314
- OpenAlex
- W2060559032
- Cited by
- 14
- References
- 28
- Citations by year
- 2021: 2 · 2019: 2 · 2018: 5 · 2017: 1 · 2015: 1 · 2014: 1 · 2013: 1
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Social Service Research (publishedVersion)
- Topics
- Social Sciences › Education › Youth Substance Use and School Attendance
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Health Sciences › Health Professions › Speech and Hearing › School Health and Nursing Education
- Keywords
- truancy, school absenteeism, screening tool, predictive validity, construct validity, factor structure, elementary school students, intervention needs
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