title: Bias in child maltreatment self-reports using interactive voice response (IVR).
abstract: Few methods estimate the prevalence of child maltreatment in the general population due to concerns about socially desirable responding and mandated reporting laws. Innovative methods, such as interactive voice response (IVR), may obtain better estimates that address these concerns. This study examined the utility of interactive voice response (IVR) for child maltreatment behaviors by assessing differences between respondents who completed and did not complete a survey using IVR technology. A mixed-mode telephone survey was conducted in English and Spanish in 50 cities in California during 2009. Caregivers (n=3,023) self-reported abusive and neglectful parenting behaviors for a focal child under the age of 13 using computer-assisted telephone interviewing and IVR. We used hierarchical generalized linear models to compare survey completion by caregivers nested within cities for the full sample and age-specific ranges. For demographic characteristics, caregivers born in the United States were more likely to complete the survey when controlling for covariates. Parenting stress, provision of physical needs, and provision of supervisory needs were not associated with survey completion in the full multivariate model. For caregivers of children 0-4 years (n=838), those reporting they could often or always hear their child from another room had a higher likelihood of survey completion. The findings suggest IVR could prove to be useful for future surveys that aim to estimate abusive and/or neglectful parenting behaviors given the limited bias observed for demographic characteristics and problematic parenting behaviors. Further research should expand upon its utility to advance estimation rates.
authors.affiliation: Luskin School of Public Affairs, Department of Social Welfare at University of California, Los Angeles, USA.
authors.forename: Nancy J
authors.initials: NJ
authors.lastname: Kepple
authors.affiliation: Luskin School of Public Affairs, Department of Social Welfare at University of California, Los Angeles, USA.
authors.forename: Bridget
authors.initials: B
authors.lastname: Freisthler
authors.affiliation: School of Social Welfare at University of Kansas, USA.
authors.forename: Michelle
authors.initials: M
authors.lastname: Johnson-Motoyama
mesh_terms: D000328:Adult; D015982:Bias; D002140:California / Q000453:epidemiology; D002648:Child; D002649:Child Abuse / Q000706:statistics & numerical data*; D002669:Child Welfare / Q000706:statistics & numerical data; D002675:Child, Preschool; D005260:Female; D006306:Health Surveys; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D019221:Mandatory Reporting; D016487:Parenting; D015995:Prevalence; D057566:Self Report; D012959:Socioeconomic Factors; D013315:Stress, Psychological / Q000453:epidemiology; D013689:Telephone
keywords: Child maltreatment; General population estimates; Interactive voice response; Survey methods