School social workers (SSWers) play a central role in child abuse and neglect (CAN) reporting, yet few empirical studies have examined factors that influence SSWers’ reporting practices. Using data from a national survey of 455 SSWers, this study examined how training, bias awareness, and beliefs about child protective services (CPS) influence SSWers’ CAN reporting behavior. The role of individual-level and school-level demographic factors was also considered. Findings indicated that SSWers who were White (OR = 1.61, p = .034), OR = 0.77, p = .004), worked in a school serving higher proportions of low-income students (OR = 1.2, p = .002), and had higher levels of satisfaction with CPS (OR = 1.26, p = .013) and mandated reporting (OR = 0.74, p = .003) had significantly higher CAN reporting frequency. No statistically significant association was found between participants’ self-report that their prior mandated reporter (MR) trainings included some form of anti-bias content and participants’ awareness of their own biases. Results suggest individual-level factors impact reporting decisions; implications for research and training are addressed.
AshtonV. (2010). Does ethnicity matter? Social workers’ personal attitudes and professional behaviors in reporting child maltreatment. Advances in Social Work, 11(2), 129–143. https://doi.org/10.18060/266
5.
AtkinsonK. D.FixS. T.FixR. L. (2023). Racial disparities in child physical and sexual abuse substantiations: Associations with child’s and accused individual’s race. Journal of Child and Family Studies, 32(1), 44–56. https://doi.org/10.1007/s10826-022-02403-0
6.
BarbarinO. A. (2021). Racial disparities in the US child protection system etiology and solutions. International Journal on Child Maltreatment: Research, Policy and Practice, 3(4), 449–466. https://doi.org/10.1007/s42448-020-00063-5
BergerL. M.WaldfogelJ. (2011). Economic determinants and consequences of child maltreatment. OECD Social, Employment and Migration Working Papers, No. 111. https://doi.org/10.1787/5kgf09zj7h9t-en
9.
BezrukovaK.SpellC. S.PerryJ. L.JehnK. A. (2016). A meta-analytical integration of over 40 years of research on diversity training evaluation. Psychological Bulletin, 142(11), 1227–1274. https://doi.org/10.1037/bul0000067
10.
Casey Family Programs. (2019). The child abuse prevention and treatment act: Keeping children safe and strengthening families in communities. https://www.casey.org
11.
CénatJ. M.McInteeS. E.MukunziJ. N.NoorishadP. G. (2021). Overrepresentation of Black children in the child welfare system: A systematic review to understand and better act. Children and Youth Services Review, 120, Article 105714. https://doi.org/10.1016/j.childyouth.2020.105714
12.
ChenL. (2019). Cultural competency in mandated reporting among healthcare professionals. Southern California Review of Law & Social Justice, 28, 319–348.
CrofootT. L.HarrisM. S. (2012). An Indian child welfare perspective on disproportionality in child welfare. Children and Youth Services Review, 34(9), 1667–1674. https://doi.org/10.1016/j.childyouth.2012.04.028
15.
DettlaffA. J.BoydR.MerrittD.PlummerJ. A.SimonJ. D. (2021). Racial bias, poverty, and the notion of evidence. Child Welfare, 99(3), 61–90. https://www.jstor.org/stable/48647485
16.
DettlaffA. J.WeberK.PendeltonM.BoydR.BettencourtB.BurtonL. (2020). It is not a broken system, it is a system that needs to be broken: The upEND movement to abolish the child welfare system. Journal of Public Child Welfare, 14(5), 500–517. https://doi.org/10.1080/15548732.2020.1814542
17.
DevineP. G.ForscherP. S.AustinA. J.CoxW. T. (2012). Long-term reduction in implicit race bias: A prejudice habit-breaking intervention. Journal of Experimental Social Psychology, 48(6), 1267–1278. https://doi.org/10.1016/j.jesp.2012.06.003
DrakeB.Jonson-ReidM. (2011). NIS interpretations: Race and the national incidence studies of child abuse and neglect. Children and Youth Services Review, 33(1), 16–20. https://doi.org/10.1016/j.childyouth.2010.08.006
20.
DrakeB.LeeS. M.Jonson-ReidM. (2009). Race and child maltreatment reporting: Are Blacks overrepresented?Children and Youth Services Review, 31(3), 309–316. https://doi.org/10.1016/j.childyouth.2008.08.004
21.
DrakeB.ZuravinS. (1998). Bias in child maltreatment reporting: Revisiting the myth of classlessness. American Journal of Orthopsychiatry, 68(2), 295–304. https://doi.org/10.1037/h0080338
22.
FitzGeraldC.MartinA.BernerD.HurstS. (2019). Interventions designed to reduce implicit prejudices and implicit stereotypes in real world contexts: A systematic review. BMC Psychology, 7, 1–12. https://doi.org/10.1186/s40359-019-0299-7
23.
FixR. L.LukenA.NairR.FixS. T. (2025). Racial, ethnic, and gender disparities in substantiated child maltreatment: A state-level analysis of US incidence rates. Children and Youth Services Review, 174, Article 108332. https://doi.org/10.1016/j.childyouth.2025.108332
FongK. (2019). Neighborhood inequality in the prevalence of reported and substantiated child maltreatment. Child Abuse & Neglect, 90, 13–21. https://doi.org/10.1016/j.chiabu.2019.01.014
GreenwaldA. G.McGheeD. E.SchwartzJ. L. K. (1998). Implicit Association Test (IAT). APA PsycTests. [Database record]. https://doi.org/10.1037/t03782-000
28.
HagiwaraN.KronF. W.ScerboM. W.WatsonG. S. (2020). A call for grounding implicit bias training in clinical and translational frameworks. The Lancet, 395(10234), 1457–1460. https://doi.org/10.1016/S0140-6736(20)30846-1
29.
HallW. J.ChapmanM. V.LeeK. M.MerinoY. M.ThomasT. W.PayneB. K.Coyne-BeasleyT.DayS. H. (2015). Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: A systematic review. American Journal of Public Health, 105(12), e60–e76. https://doi.org/10.2105/AJPH.2015.302903
30.
HarveyB.Gupta-KaganJ.ChurchC. (2021). Reimagining schools’ role outside the family regulation system. Columbia Journal of Race & the Law, 11(3), 575–610. https://doi.org/10.52214/cjrl.v11i3.8745
31.
HolroydJ.ScaifeR.StaffordT. (2017). What is implicit bias?Philosophy Compass, 12(10), Article e12437. https://doi.org/10.1111/phc3.12437
32.
HosmerD. W.Jr. (2013). Model‐building strategies and methods for logistic regression. Applied logistic regression.
33.
HunterA. A.FloresG. (2021). Social determinants of health and child maltreatment: A systematic review. Pediatric Research, 89(2), 269–274. https://doi.org/10.1038/s41390-020-01175-x
34.
IbanezE. S.BorregoJ.Jr.PembertonJ. R.TeraoS. (2006). Cultural factors in decision-making about child physical abuse: Identifying reporter characteristics influencing reporting tendencies. Child Abuse & Neglect, 30(12), 1365–1379. https://doi.org/10.1016/j.chiabu.2006.06.007
Institute to Transform Child Protection. (2023). Mandatory reporting quick reference guide.
37.
ItzkowitzM.OlsonK. (2022). Closing the front door of child protection: Rethinking mandated reporting. Child Welfare, 100(2), 77–98. https://www.jstor.org/stable/48663458
38.
JayaratneS.FallerK. C.OrtegaR. M.VandervortF. (2008). African American and white child welfare workers’ attitudes towards policies involving race and sexual orientation. Children and Youth Services Review, 30(8), 955–966. https://doi.org/10.1016/j.childyouth.2007.11.018
39.
JonesR.FlahertyE. G.BinnsH. J.PriceL. L.SloraE.SegeR. D.HarrisD. L.ChristoffelK. K.Child Abuse Reporting Experience Study Research Group. (2008). Clinicians’ description of factors influencing their reporting of suspected child abuse: Report of the child abuse reporting experiences study research group. Pediatrics, 122(2), 259–266. https://doi.org/10.1542/peds.2007-2312
40.
Jonson-ReidM.DrakeB.KohlP. L. (2009). Is the overrepresentation of the poor in child welfare caseloads due to bias or need?Children and Youth Services Review, 31(3), 422–427. https://doi.org/10.1016/j.childyouth.2008.09.009
41.
JosephB.SakranJ. V.ObaidO.HosseinpourH.DitilloM.AnandT.ZakrisonT. L. (2022). Nationwide management of trauma in child abuse: Exploring the racial, ethnic, and socio-economic disparities. Annals of Surgery, 276(3), 500–510. https://doi.org/10.1097/SLA.0000000000005548
42.
KimH.DrakeB. (2018). Child maltreatment risk as a function of poverty and race/ethnicity in the USA. International Journal of Epidemiology, 47(3), 780–787. https://doi.org/10.1093/ije/dyx280
43.
KimJ. Y.RobersonL. (2022). I’m biased and so are you. What should organizations do? A review of organizational implicit-bias training programs. Consulting Psychology Journal, 74(1), 19–39. https://doi.org/10.1037/cpb000021
44.
KingB.LawsonJ.Putnam-HornsteinE. (2013). Examining the evidence: Reporter identity, allegation type, and sociodemographic characteristics as predictors of maltreatment substantiation. Child Maltreatment, 18(4), 232–244. https://doi.org/10.1177/1077559513508
45.
LaiC. K.LisnekJ. A. (2023). The impact of implicit-bias-oriented diversity training on police officers’ beliefs, motivations, and actions. Psychological Science, 34(4), 424–434. https://doi.org/10.1177/09567976221150617
46.
LindsayB. C.AlvarezM.OliverR. (2024). National school social work census: The state of school social work. School Social Work Journal, 49(1), 38–52.
47.
MarshallJ. M.HaightW. L. (2014). Understanding racial disproportionality affecting African American youth who cross over from the child welfare to the juvenile justice system: Communication, power, race and social class. Children and Youth Services Review, 42, 82–90. https://doi.org/10.1016/j.childyouth.2014.03.017
48.
McBeathB.ChuangE.BungerA.BlakesleeJ. (2014). Under what conditions does caseworker-caregiver racial/ethnic similarity matter for housing service provision? An application of representative bureaucracy theory. Social Service Review, 88(1), 134–165. https://doi.org/10.1086/675373
MezaE. (2020). The possibility of critical school social work: Our role in disrupting racial inequity. Children and Schools, 42(3), 147–151. https://doi.org/10.1093/cs/cdaa018
51.
MyersC.GarciaA.BeidasR.YangZ. (2020). Factors that predict child welfare caseworker referrals to an evidence-based parenting program. Children and Youth Services Review, 109, Article 104750. https://doi.org/10.1016/j.childyouth.2020.104750
NadanY.SpilsburyJ. C.KorbinJ. E. (2015). Culture and context in understanding child maltreatment: Contributions of intersectionality and neighborhood-based research. Child Abuse & Neglect, 41(40-48), 40–48. https://doi.org/10.1016/j.chiabu.2014.10.021
54.
National Center For Education Statistics. (2021). National center for education statistics NCES. National Center For Education Statistics. https://nces.ed.gov/pubs2022/2022111.pdf
55.
PalusciV. J.BotashA. S. (2021). Race and bias in child maltreatment diagnosis and reporting. Pediatrics, 148(1), Article e2020049625. https://doi.org/10.1542/peds.2020-049625
56.
PappasG.HarrellS.WahabS. (2025). Nuance as praxis for teaching about mandated reporting: Classroom activities. Journal of Teaching in Social Work, 45(1), 93–104. https://doi.org/10.1080/08841233.2024.2433792
57.
Pit-ten CateI. M.GlockS. (2019). Teachers’ implicit attitudes toward students from different social groups: A meta-analysis. Frontiers in Psychology, 10, 2832. https://doi.org/10.3389/fpsyg.2019.02832
58.
PuzzancheraC.ZeiglerM.TaylorM.KangW.SmithJ. (2023). Disproportionality rates for children of color in foster care dashboard. National Council of Juvenile and Family Court Judges. https://ncjj.org/AFCARS/Disproportionality_Dashboard.asp
59.
PylandC. P.WilliamsM. G.MollenD. (2024). Ethical and diversity considerations of mandatory reporting: Implications for training. Training and Education in Professional Psychology, 18(4), 297–304. https://doi.org/10.1037/tep0000485
60.
R Core Team. (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
61.
ReddyJ.Williams-IsomA.Putnam-HornsteinE. (2022). Racial sensitivity training: An inadequate solution to systemic racial disparities in child protection systems. Child Abuse & Neglect, 128, Article 105584. https://doi.org/10.1016/j.chiabu.2022.105584
62.
RicksL.TuttleM.LandC.ChibbaroJ. (2019). Trends and influential factors in child abuse reporting: Implications for early career school counselors. Journal of School Counseling, 17(16), n16.
63.
RodriguezS.RothB. J.Villarreal SosaL. (2022). “Immigration enforcement is a daily part of our students’ lives”: School social workers’ perceptions of racialized nested contexts of reception for immigrant students. AERA Open, 8, Article 23328584211073170. https://doi.org/10.1177/23328584211073170
64.
RosenbergR.WilliamsS. C.MartinezV.BallJ. C. (2024). Mandated reporting policies and the detection of child abuse and neglect. Children and Youth Services Review, 159, Article 107499. https://doi.org/10.1016/j.childyouth.2024.107499
65.
SedlakA. J.McPhersonK.DasB. (2010). Supplementary analyses of race differences in child maltreatment rates in the NIS-4. Department of Health and Human Services, Administration for Children and Families.
66.
ShriderE. A. (2024). Poverty in the United States: 2023. Current population reports. U.S. Census Bureau, U.S. Department of Commerce.
67.
SimonJ. D.BoydR.ThurstonH.SubicaA. M. (2022). Response to the Reddy, Williams-Isom, & putnam-hornstein’s brief “Racial sensitivity training: An inadequate solution to systemic racial disparities in child protection systems”. Child Abuse & Neglect, 131, Article 105769. https://doi.org/10.1016/j.chiabu.2022.105769
68.
SkinnerG. C.BywatersP. W.KennedyE. (2023). A review of the relationship between poverty and child abuse and neglect: Insights from scoping reviews, systematic reviews and meta‐analyses. Child Abuse Review, 32(2), Article e2795. https://doi.org/10.1002/car.2795
69.
StrozierM.BrownR.FennellM.HardeeJ.VogelR. (2005). Experiences of mandated reporting among family therapists. Contemporary Family Therapy, 27(2), 177–191. https://doi.org/10.07/s10591-005-4038-2
70.
TeraoS. Y.BorregoJ.Jr.UrquizaA. J. (2001). A reporting and response model for culture and child maltreatment. Child Maltreatment, 6(2), 158–168. https://doi.org/10.1177/1077559501006002008
71.
US Department of Health & Human Services, Administration for Children and Families, Administration on Children, Youth and Families, Children’s Bureau. (2025). Child maltreatment 2023. https://www.acf.hUhs.gov/cb/data-research/child-maltreatment
72.
WolfB. J.SlateE. H.HillE. G. (2015). Ordinal logic regression: A classifier for discovering combinations of binary markers for ordinal outcomes. Computational Statistics & Data Analysis, 82, 152–163. https://doi.org/10.1016/j.csda.2014.08.013
73.
WordenR. E.NajdowskiC. J.McLeanS. J.WordenK. M.CorsaroN.CochranH.EngelR. S. (2024). Implicit bias training for police: Evaluating impacts on enforcement disparities. Law and Human Behavior, 48(5-6), 338–355. https://doi.org/10.1037/lhb0000568
