Psychometric Properties of the Korean Version of the Child Sexual Behavior Inventory

Ji Young Choi1, Dong Ho Song2

  • 1Department of Child Studies, Inha University; Incheon, Republic of Korea.

Insights

The Korean Child Sexual Behavior Inventory (CSBI) is reliable and valid for identifying potential child sexual abuse in children under 10. Cultural differences in sexual behavior were also noted.

Area of Science:

  • Psychology
  • Child Development
  • Forensic Psychology

Background:

  • Accurate assessment of child sexual behavior is crucial for identification and intervention.
  • The Child Sexual Behavior Inventory (CSBI) is a tool used for this purpose.
  • Validation of culturally specific versions of assessment tools is essential.

Purpose of the Study:

  • To examine the psychometric properties of the Korean version of the CSBI.
  • To assess its reliability and validity in a Korean population of children.
  • To determine its utility in identifying sexually abused children.

Main Methods:

  • A community sample (CS) and a sexually abused (SA) sample of children aged 3-9 years were recruited.
  • Parents completed the CSBI, Child Behavior Checklist (CBCL), and Traumatic Symptom Checklist for Young Children (TSCYC).
  • Psychometric properties including internal consistency, convergent, divergent, and discriminant validity were analyzed.

Main Results:

  • The Korean CSBI demonstrated good internal consistency (α = .59-.97).
  • Significant correlations were found between sexual behaviors and internalizing/externalizing problems (r = 0.30-0.48).
  • High correlations were observed between PTSD symptoms and sexual concerns in the SA sample (r = 0.56-0.66), with significant differences between CS and SA groups.

Conclusions:

  • The Korean version of the CSBI is a reliable and valid measure.
  • It is useful for identifying children suspected of sexual abuse in Korea.
  • Cultural variations in child sexual behavior warrant further investigation.

Related Concept Videos

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
425
Conduct Disorder01:28

Conduct Disorder

Conduct disorder is a complex mental health diagnosis characterized by a repetitive and persistent pattern of behavior that violates societal norms, the rights of others, or age-appropriate rules. The diagnostic criteria for conduct disorder require the presence of at least three problematic behaviors within the past 12 months, with at least one occurring in the past six months. These behaviors are grouped into four categories: aggression toward people and animals; destruction of property;...
99
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.9K
Binet's Contribution to Measures of Intelligence01:23

Binet's Contribution to Measures of Intelligence

Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing...
1.3K
Kendall's Coefficient of Concordance01:20

Kendall's Coefficient of Concordance

Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
488