Extreme Demand Avoidance Questionnaire (EDAQ) Research Statistics
- Sample Adequacy: Preliminary dataset. Interpret norms cautiously.
- Research Status: PRELIMINARY NORMATIVE DATASET
- Items: 24
- Dimensions: 6
- Dataset Maturity: The current dataset achieved a maturity score of 25/100 and is classified as PRELIMINARY.
| Participants | 2 |
| Countries Represented | 1 |
| Dataset Maturity | 25/100 — PreliminaryDataset |
| Research Status | PRELIMINARY NORMATIVE DATASET |
| Sample Adequacy | Preliminary dataset. Interpret norms cautiously. |
| Data Collection Period | Jun 12, 2026 – Jun 12, 2026 |
| Mean Score | 35.5% |
| Median Score | 35.5 |
| Standard Deviation | 6.36 |
| Variance | 40.5 |
| Standard Error (SEM) | 4.5 |
| Reliability (α) | 0.894 |
| Items | 24 |
| Dimensions | 6 |
| Observed Score Range | 9 |
| Maximum Observed Score | 40% |
| Minimum Observed Score | 31% |
| 95% Confidence Interval | 26.68– 44.32 |
| Skewness | 0 |
| Kurtosis | 0 |
The current dataset includes responses from 1countries. The largest contribution currently comes from CA which represents approximately 100% 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 below31%, while 90% scored above this level.The median score was31%, meaning that half of participants scored below this value and half scored above it. Scores of31% or greater were achieved by approximately the highest 25% of participants, whereas scores of31% 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
and a kurtosis of
0.
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 = 0.894), suggesting that the assessment items measure a relatively coherent psychological construct.
Item–Total Correlations
Item–total correlations are not currently reported because the assessment has fewer than 100 participant responses. Psychometric item analysis requires a larger sample to produce stable and interpretable estimates.
Current Participants: 2
Minimum Recommended: 100
Dimension Norms
The highest scoring dimension in the current sample was Imagination (29.5%). The lowest scoring dimension was Imagination (29.5%). 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.
Research Interpretation
This psychometric dataset currently includes 2 anonymous participant responses collected through voluntary participation. The observed mean score was 35.5 with a standard deviation of 6.36, indicating moderate score variability within the sampled population. Internal consistency reliability analysis demonstrated good reliability (Cronbach alpha = 0.894). Observed skewness (0) and kurtosis (0) 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)