Formal Versus Self-Identified Neurodivergence: A Comparative Study in Work Environments

This study investigated the added value of using self-identification of neurodivergence next to formal diagnosis in predicting cognitive differences. We collected and analyzed data from neurodivergent and neurotypical employees in a sample of 357 participants in 19 organizations across seven industries. Our results are aligned with previous results that support a systematic information processing tendency in highly gifted and autistic employees and decision impulsiveness in those with ADHD and ADD. Supporting previous findings, our results show different cognitive profiles of dyslexia and dyscalculia. Finally, our results show that self-identified neurodivergence adds to the predictive value of formally diagnosed conditions and that in empirical organizational research, self-identified neurodivergence is sufficient to capture the cognitive differentiation tied to neurodivergence.

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Publication Details

Journal
Behavioral Sciences
Published
2025-03-25
DOI
https://doi.org/10.3390/bs15040420
Citations
2
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
2.94
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article

Formal Versus Self-Identified Neurodivergence: A Comparative Study in Work Environments

Petru Lucian Curșeu, Jan van Rijswijk
2 citations
Behavioral Sciences
Attention Deficit Hyperactivity Disorder
2.94
article

Formal Versus Self-Identified Neurodivergence: A Comparative Study in Work Environments

Petru Lucian Curșeu, Jan van Rijswijk
article en
2 citations

Abstract

This study investigated the added value of using self-identification of neurodivergence next to formal diagnosis in predicting cognitive differences. We collected and analyzed data from neurodivergent and neurotypical employees in a sample of 357 participants in 19 organizations across seven industries. Our results are aligned with previous results that support a systematic information processing tendency in highly gifted and autistic employees and decision impulsiveness in those with ADHD and ADD. Supporting previous findings, our results show different cognitive profiles of dyslexia and dyscalculia. Finally, our results show that self-identified neurodivergence adds to the predictive value of formally diagnosed conditions and that in empirical organizational research, self-identified neurodivergence is sufficient to capture the cognitive differentiation tied to neurodivergence.

Behavioral SciencesVol. 15(4)
Babeș-Bolyai University (RO), Open University of the Netherlands (NL)
Openalex Percentile: Top 11%
Attention Deficit Hyperactivity Disorder
2.94
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