French Population Responses to the Deenz Neurodiversity Scale (DNS-32)

The present dataset represents responses from 43 participants recruited from the general French adult population, all of whom completed the Deenz Neurodiversity Scale (DNS-32) in a computerized survey format. The dataset was created to support psychometric research on neurodiversity and to expand the cross-cultural applicability of the DNS-32 by providing data from a French-speaking sample. As neurodiversity research continues to grow, it is essential to document how neurodivergent traits manifest across linguistic and cultural contexts. This dataset contributes to that effort by offering item-level information that can be used for comparative, exploratory, and validation-focused research.

The purpose of the dataset is threefold. First, it aims to provide preliminary normative data for the DNS-32 within a French population. Second, it offers researchers the opportunity to examine the reliability, structure, and consistency of the scale in a non-English environment. Third, the dataset serves as a foundation for future multilingual validation studies, enabling researchers to compare patterns of neurodiversity traits across different cultural groups. This aligns with the broader objective of positioning the DNS-32 as an inclusive, internationally applicable instrument.

The nature of the dataset is quantitative and psychometric. It consists of structured numerical data, with each participant providing responses to 32 Likert-scale items ranging from 1 (strongly disagree) to 5 (strongly agree). These items capture a diverse array of neurodiversity-related tendencies, including sensory sensitivity, cognitive processing differences, emotional intensity, imaginative engagement, hyperfocus, and interpersonal communication patterns. The responses are presented in a clean, rectangular data format with one row per participant and one column per item, making the dataset easy to analyze using statistical software. A unique participant identifier is included for each respondent, ensuring anonymity while maintaining the ability to conduct item-level analyses.

The dataset does not include personal identifying information such as age, gender, education level, or diagnostic history. This decision was made to prioritize privacy and to allow the dataset to be openly shared without ethical concerns. However, future datasets may incorporate demographic variables to support more sophisticated subgroup or comparative analyses. The current dataset functions as a foundational sample focused exclusively on item-level psychometric performance.

The scope of the dataset includes several research applications. It can be used to compute preliminary descriptive statistics, such as mean scores and response distributions across the 32 items. Additionally, researchers can perform reliability testing (e.g., Cronbach’s alpha), factor analysis to explore underlying dimensions of neurodiversity traits, and item response theory (IRT) modeling to assess item difficulty and discrimination. The dataset also enables cross-cultural comparison with existing DNS-32 data collected from other populations such as English-speaking, German, or Polish samples.

While the sample size of 43 participants is modest, it represents a meaningful step toward building an international database for the DNS-32. The data provide insight into how neurodivergent traits may manifest within the French cultural context and help determine whether the scale maintains coherence and consistent structure across languages. The dataset can serve as a stand-alone resource or be combined with future French samples to strengthen statistical power and refine validation outcomes.

Overall, this dataset provides an important early contribution to multilingual neurodiversity research and supports the ongoing development of the DNS-32 as a culturally sensitive and globally applicable measurement tool. The data was collected from web web-based application, which is the stable French version of the self-assessment.