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Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification

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  • Alexander J Millner
  • Michael D Lee
  • Matthew K Nock

Abstract

Suicide is a leading cause of death worldwide. Although research has made strides in better defining suicidal behaviors, there has been less focus on accurate measurement. Currently, the widespread use of self-report, single-item questions to assess suicide ideation, plans and attempts may contribute to measurement problems and misclassification. We examined the validity of single-item measurement and the potential for statistical errors. Over 1,500 participants completed an online survey containing single-item questions regarding a history of suicidal behaviors, followed by questions with more precise language, multiple response options and narrative responses to examine the validity of single-item questions. We also conducted simulations to test whether common statistical tests are robust against the degree of misclassification produced by the use of single-items. We found that 11.3% of participants that endorsed a single-item suicide attempt measure engaged in behavior that would not meet the standard definition of a suicide attempt. Similarly, 8.8% of those who endorsed a single-item measure of suicide ideation endorsed thoughts that would not meet standard definitions of suicide ideation. Statistical simulations revealed that this level of misclassification substantially decreases statistical power and increases the likelihood of false conclusions from statistical tests. Providing a wider range of response options for each item reduced the misclassification rate by approximately half. Overall, the use of single-item, self-report questions to assess the presence of suicidal behaviors leads to misclassification, increasing the likelihood of statistical decision errors. Improving the measurement of suicidal behaviors is critical to increase understanding and prevention of suicide.

Suggested Citation

  • Alexander J Millner & Michael D Lee & Matthew K Nock, 2015. "Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
  • Handle: RePEc:plo:pone00:0141606
    DOI: 10.1371/journal.pone.0141606
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    Cited by:

    1. Nicholas J Carson & Brian Mullin & Maria Jose Sanchez & Frederick Lu & Kelly Yang & Michelle Menezes & Benjamin LĂȘ Cook, 2019. "Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-14, February.
    2. Rebecca A. Bernert & Amanda M. Hilberg & Ruth Melia & Jane Paik Kim & Nigam H. Shah & Freddy Abnousi, 2020. "Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations," IJERPH, MDPI, vol. 17(16), pages 1-25, August.
    3. Subin Park & Soo Jung Rim & Jin Yong Jun, 2018. "Related Factors of Suicidal Ideation among North Korean Refugee Youth in South Korea," IJERPH, MDPI, vol. 15(8), pages 1-8, August.

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