Comprehensive Assessment of Sadistic Tendencies (CAST) Research Statistics
- Sample Adequacy: Established dataset with reasonably stable norms.
- Research Status: ESTABLISHED DATASET
- Items: 24
- Dimensions: 5
- Dataset Maturity: The current dataset achieved a maturity score of 75/100 and is classified as STRONG.
| Participants | 380 |
| Countries Represented | 58 |
| Dataset Maturity | 75/100 — StrongDataset |
| Research Status | ESTABLISHED NORMATIVE DATASET |
| Sample Adequacy | Established dataset with reasonably stable norms. |
| Data Collection Period | May 21, 2026 – Sep 10, 2026 |
| Mean Score | 54.27% |
| Median Score | 55 |
| Standard Deviation | 13.66 |
| Variance | 186.56 |
| Standard Error (SEM) | 0.7 |
| Reliability (α) | 0.884 |
| Items | 24 |
| Dimensions | 5 |
| Observed Score Range | 76 |
| Maximum Observed Score | 89% |
| Minimum Observed Score | 13% |
| 95% Confidence Interval | 52.9– 55.64 |
| Skewness | -0.1 |
| Kurtosis | 0.43 |
The current dataset includes responses from 58countries . The largest contribution currently comes from IN which represents approximately 35.5% 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 below 37%, while 90% scored above this level. The median score was 55%, meaning that half of participants scored below this value and half scored above it. Scores of 61% or greater were achieved by approximately the highest 25% of participants, whereas scores of 73% 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 demonstrated
a skewness of
-0.1
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 = 0.884), 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 identified 3 itemsthat may benefit from future review.
-
Q19
(r = 0.29)
By staying strong, one can better help others. -
Q21
(r = -0.02)
I'd do anything, even break the law, for those I love. -
Q23
(r = 0.15)
I am a religious person.
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 Verbal Cruelty (70%). The lowest scoring dimension was Emotional Coldness (34.1%). 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 380 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 380 participant responses were available for this assessment. Dimension-level norms were calculated using 373 valid response records. Approximately 7 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 380 anonymous participant responses collected through voluntary participation. The observed mean score was 54.27 with a standard deviation of 13.66, indicating moderate score variability within the sampled population. Internal consistency reliability analysis demonstrated good reliability (Cronbach alpha = 0.884). Observed skewness (-0.1) 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. Trait Profiler 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)