Deenz Neurodiversity Scale (DNS) Research Statistics
- Sample Adequacy: Established dataset with reasonably stable norms.
- Research Status: ESTABLISHED DATASET
- Items: 32
- Dimensions: 4
- Dataset Maturity: The current dataset achieved a maturity score of 65/100 and is classified as STRONG.
| Participants | 164 |
| Countries Represented | 23 |
| Dataset Maturity | 65/100 — StrongDataset |
| Research Status | ESTABLISHED NORMATIVE DATASET |
| Sample Adequacy | Established dataset with reasonably stable norms. |
| Data Collection Period | Jun 9, 2026 – Jun 13, 2026 |
| Mean Score | 54.08% |
| Median Score | 54.5 |
| Standard Deviation | 13.41 |
| Variance | 179.91 |
| Standard Error (SEM) | 1.05 |
| Reliability (α) | 0.845 |
| Items | 32 |
| Dimensions | 4 |
| Observed Score Range | 64 |
| Maximum Observed Score | 85% |
| Minimum Observed Score | 21% |
| 95% Confidence Interval | 52.03– 56.13 |
| Skewness | -0.23 |
| Kurtosis | -0.43 |
The current dataset includes responses from 23countries. The largest contribution currently comes from DE which represents approximately 36.6% of all participants. International participation enhances sample diversity and improves the generalizability of normative findings across geographic regions.
Normative Percentile Distribution
The current normative dataset indicates that approximately 10% of participants scored below39%, while 90% scored above this level.The median score was54%, meaning that half of participants scored below this value and half scored above it. Scores of66% or greater were achieved by approximately the highest 25% of participants, whereas scores of70% or greater were achieved by approximately the highest 10% of participants. These percentile values provide preliminary normative benchmarks that can be used to contextualize individual assessment results relative to the current community sample.
Distribution Histogram
This histogram displays the distribution of participant scores across the assessment. A balanced bell-shaped pattern generally indicates good score dispersion and stronger normative utility, whereas highly skewed distributions may indicate floor effects, ceiling effects, or sample bias.
Distribution Quality
The score distribution demonstrateda skewness of
-0.23
and a kurtosis of
-0.43.
The score distribution appears reasonably balanced and does not currently suggest substantial departures from normality.
Reliability Analysis
GOOD RELIABILITY
The assessment demonstrated good internal consistency reliability (Cronbach's α = 0.845), suggesting that the assessment items measure a relatively coherent psychological construct.
Item–Total Correlations
Item–total correlations were generally strong across the assessment, indicating that most items contribute effectively to the measurement of the underlying construct. The analysis identified10 itemsthat may benefit from future review.
-
Q4
(r = 0.27)
I prefer familiar environments over new ones. -
Q17
(r = 0.23)
Reading and spelling are sometimes difficult for me. -
Q19
(r = 0.13)
I might avoid reading because it feels tiring. -
Q20
(r = 0.15)
I enjoy activities that don't involve much reading. -
Q21
(r = 0.25)
I find it easier to understand information when it's spoken. -
Q26
(r = 0.3)
My handwriting might not be very neat or consistent. -
Q27
(r = 0.24)
I get scared of sports or exercise. -
Q29
(r = 0.28)
I might have trouble with activities that need careful movements. -
Q30
(r = 0.17)
I find it hard to plan ahead consistently. -
Q32
(r = -0.1)
I notice that I often overestimate or underestimate what I can do.
Lower item–total correlations may indicate weaker alignment with the overall construct, greater response variability, or the need for further refinement. These findings should be interpreted cautiously and considered alongside additional psychometric evidence as the normative sample grows.
Dimension Norms
The highest scoring dimension in the current sample was ADHD Traits (52.4%). The lowest scoring dimension was Dyspraxia Traits (35%). Dimensions located above the 50% reference line represent characteristics that were more strongly endorsed within the current participant sample. Standard deviations indicate the degree of variability observed across participant responses.
The current normative dataset contains 164 participants . The cumulative growth curve illustrates how the participant sample has expanded over time. Increasing sample sizes generally improve the stability of percentile norms, reliability estimates, and other psychometric statistics.
A total of 164 participant responses were available for this assessment. Dimension-level norms were calculated using 14 valid response records. Approximately 150 response record(s) were excluded from dimension-level normative calculations due to incomplete response patterns, historical data inconsistencies, or automated data-quality screening procedures.
Research Interpretation
This psychometric dataset currently includes 164 anonymous participant responses collected through voluntary participation. The observed mean score was 54.08 with a standard deviation of 13.41, indicating moderate score variability within the sampled population. Internal consistency reliability analysis demonstrated good reliability (Cronbach alpha = 0.845). Observed skewness (-0.23) and kurtosis (-0.43) were examined as indicators of distribution quality. The score distribution appeared reasonably balanced and did not suggest substantial departures from normality.
Ethical & Research Notice
All responses included in this dataset are collected anonymously through voluntary participation. No personally identifying information is stored. Results are intended exclusively for educational, psychometric, research, and self-reflective purposes and should not be used as clinical diagnoses. Drdeenz continuously monitors response quality, distribution stability, and internal consistency to support ethical psychometric reporting.
Dataset Export
Research Citation
License: Creative Commons Attribution 4.0 International (CC BY 4.0)