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Faller, Kathleen Coulborn; Nelson-Gardell, Debra – Journal of Child Sexual Abuse, 2010
This article provides new findings from a national study involving 18 forensic interview sites of 137 children who were randomly assigned to a four or eight session extended evaluation. Cases assigned to the eight session protocol were significantly more likely to be classified "credible disclosure" of sexual abuse (56.6%) than cases assigned to…
Descriptors: Sexual Abuse, Child Abuse, Law Enforcement, Interviews
Faller, Kathleen Coulborn; Cordisco-Steele, Linda; Nelson-Gardell, Debra – Journal of Child Sexual Abuse, 2010
This article describes the state of knowledge about extended assessments/forensic evaluations in situations of possible sexual abuse. It provides a critical review of the modest body of relevant research, describes two models for extended assessments, and presents descriptive survey findings of 62 professionals conducting extended assessments,…
Descriptors: Self Disclosure (Individuals), Sexual Abuse, Child Abuse, Interviews

DeVoe, Ellen R.; Faller, Kathleen Coulborn – Child Welfare, 2002
This study examined the number and types of questions employed in clinical and computer-assisted interviews with children referred for sexual abuse evaluation. Findings suggest that many children are able to describe sexual abuse with careful questioning that includes nonleading but focused inquiry. Findings pose implications for practice and…
Descriptors: Child Abuse, Children, Computers, Evaluation Criteria
Faller, Kathleen Coulborn; Birdsall, William C.; Vandervort, Frank; Henry, James – Child Abuse & Neglect: The International Journal, 2006
Objective: To determine significant predictors of severity of sentencing of sex offenders of minors in a jurisdiction which obtains many confessions. Method: Data were abstracted from 323 criminal court case records of sexually abused minors over 11 years in a county which places a high priority on sexual abuse prosecution. The sample used in this…
Descriptors: Court Litigation, Case Records, Multiple Regression Analysis, Crime