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Making the Most of it: Application of Planned Missingness Design to Increase the Efficiency of Diagnostic Assessment

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Abstract

Multimethod assessment is recommended as “best practice” in clinical assessment and is often implemented through the combined use of symptom rating scales and structured interviews. While this approach increases confidence in the validity of assessment, it also increases burden, expense, and leads to the accumulation of redundant information. To address this problem, we evaluate the use of a planned missingness design within the framework of adult Attention Deficit/Hyperactivity Disorder (ADHD) assessment. In a sample of 169 young adults, we fit a two-method measurement (TMM) model using ADHD symptoms obtained from rating scales and a structured diagnostic interview. Based on an estimated 8:1 differential between the cost of conducting an in-person diagnostic interview vs. completing questionnaires online, we conducted a series of Monte Carlo simulations to determine the utility of combining TMM with a planned missingness design. We find that even when costs are kept constant, statistical power of the TMM/planned missingness design was equal to the power that would have been obtained had nearly twice the number of participants with complete data been recruited. Conversely, costs could be decreased by 20–25%, while maintaining statistical power equivalent to a design with complete data. Our results suggest the TMM design is a promising technique for reducing the cost and burden of diagnostic assessment within research settings.

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Notes

  1. Three participants who had reported elevated scores on the CAARS did not attend the on-campus laboratory visit. They were never enrolled their scores were not included in the study whose total N = 169.

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Correspondence to Zvi R. Shapiro.

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This study was supported by the National Center for Advancing Translational Sciences, Grant KL2 TR000126 and TR002015. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author A, Author B, Author C, and Author D declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

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Informed consent was obtained from all individual participants included in the study.

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Shapiro, Z.R., Huang-Pollock, C., Graham, J.W. et al. Making the Most of it: Application of Planned Missingness Design to Increase the Efficiency of Diagnostic Assessment. J Psychopathol Behav Assess 42, 314–327 (2020). https://doi.org/10.1007/s10862-019-09780-9

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  • DOI: https://doi.org/10.1007/s10862-019-09780-9

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