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Development of a Computerized Adaptive Testing for Internet Addiction.

Yong Zhang1, Daxun Wang1, Xuliang Gao1

  • 1School of Psychology, Jiangxi Normal University, Nanchang, China.

Frontiers in Psychology
|May 29, 2019
PubMed
Summary
This summary is machine-generated.

A new computerized adaptive test (CAT-IA) efficiently measures internet addiction disorder. This validated tool demonstrates high accuracy, reliability, and predictive validity for assessing behavioral addiction.

Keywords:
CAT-IAcomputer adaptive testinginternet addictionitem response theoryquestionnaire

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Area of Science:

  • Psychology
  • Behavioral Science
  • Psychometrics

Background:

  • Internet addiction disorder is a growing concern in psychological and behavioral health.
  • Accurate measurement of internet addiction is increasingly important for practical assessment.

Purpose of the Study:

  • To develop and validate a computerized adaptive testing (CAT-IA) for efficient measurement of internet addiction.
  • To evaluate the psychometric properties, efficiency, reliability, and validity of the CAT-IA.

Main Methods:

  • Developed an item bank from four standardized scales, selecting 59 polytomously scored items after psychometric evaluation.
  • Conducted two simulation studies to assess CAT-IA properties under various stopping rules.

Main Results:

  • The 59-item bank met Item Response Theory (IRT) assumptions, showing high discrimination and good item-model fit without differential item functioning (DIF).
  • CAT-IA demonstrated high measurement accuracy, efficiency, reliability, concurrent validity, and predictive validity.

Conclusions:

  • The developed CAT-IA is a psychometrically sound and efficient tool for measuring internet addiction.
  • CAT-IA offers a reliable and valid method for assessing internet addiction disorder in clinical and research settings.