Skip to main content

Comprehensive Assessment of Sadistic Tendencies (CAST) Research Statistics

Assessment Information
  • 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 25/100 and is classified as PRELIMINARY.

Table 1
Normative Dataset Overview
Descriptive characteristics of the current normative sample.
Participants 133
Countries Represented 3
Dataset Maturity 25/100 — PreliminaryDataset
Research Status ESTABLISHED NORMATIVE DATASET
Sample Adequacy Established dataset with reasonably stable norms.
Data Collection Period May 21, 2026 – Jun 1, 2026
The current normative dataset consists of 133 participants collected from 3 countries.
Table 2
Score Statistics
Measures of central tendency and variability.
Mean Score 53.05%
Median Score 55
Standard Deviation 4.13
Variance 17.02
Standard Error (SEM) 0.36
Reliability (α) -0.262
Items 24
Dimensions 5
The sample demonstrated a mean score of 53.05% (Mdn = 55, SD = 4.13).
Table 3
Distribution Characteristics
Distribution shape and score dispersion indicators.
Observed Score Range 28
Maximum Observed Score 75%
Minimum Observed Score 47%
95% Confidence Interval 52.35– 53.75
Skewness 1.02
Kurtosis 5.28
Observed skewness (1.02) and kurtosis (5.28) provide indicators of distribution quality and normality.
Global Participation Chart Participants IN 131 #1 AU 1 #2 GB 1 #3
Global Participation Interpretation

The current dataset includes responses from 3countries . The largest contribution currently comes from IN which represents approximately 98.5% of all participants. International participation enhances sample diversity and improves the generalizability of normative findings across geographic regions.

Normative Percentile Distribution

Population Median 10th Percentile 48 Population Median 25th Percentile 48 Population Median 50th Percentile 55 Population Median 75th Percentile 55 Population Median 90th Percentile 55
Normative Interpretation

The current normative dataset indicates that approximately 10% of participants scored below 48%, 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 55% or greater were achieved by approximately the highest 25% of participants, whereas scores of 55% 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

40-49 43 50-59 86 60-69 3 70-79 1
Distribution Interpretation

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 1.02 and a kurtosis of 5.28.

The distribution demonstrates mild departures from normality, although the overall score pattern remains broadly interpretable for preliminary normative purposes.

Reliability Analysis

-0.262 Poor Acceptable Good Excellent

UNACCEPTABLE RELIABILITY

The current dataset produced an internal consistency estimate (Cronbach's α = -0.262) that falls below commonly accepted psychometric standards. Interpretations should therefore be considered preliminary until additional participant responses are collected and item functioning is further evaluated.

Item–Total Correlations

Item Item Quality r Rating Q23 0.98 Excellent Q16 0.98 Excellent Q5 0.97 Excellent Q1 0.96 Excellent Q18 0.96 Excellent Q19 0.96 Excellent Q13 0.95 Excellent Q14 0.92 Excellent Q20 0.9 Excellent Q11 0.89 Excellent Q4 0.88 Excellent Q22 0.81 Excellent Q3 0.15 Problematic Q12 -0.01 Problematic Q15 -0.08 Problematic Q24 -0.09 Problematic Q21 -0.15 Problematic Q8 -0.93 Problematic Q6 -0.95 Problematic Q7 -0.97 Problematic Q9 -0.98 Problematic Q17 -0.98 Problematic Q2 -0.98 Problematic Q10 -0.99 Problematic
Item Analysis Interpretation

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 12 itemsthat may benefit from future review.

Items Recommended for Future Review
  • Q2 (r = -0.98)
    I enjoy making jokes at the expense of others.
  • Q3 (r = 0.15)
    I have purposely tricked someone and laughed when they looked foolish.
  • Q6 (r = -0.95)
    I would never purposely humiliate someone.
  • Q7 (r = -0.97)
    I enjoy physically hurting people.
  • Q8 (r = -0.93)
    I enjoy tormenting people.
  • Q9 (r = -0.98)
    I have the right to push certain people around.
  • Q10 (r = -0.99)
    I have dominated others using fear.
  • Q12 (r = -0.01)
    In video games, I like the realistic blood spurts.
  • Q15 (r = -0.08)
    I sometimes replay my favorite scenes from gory slasher films.
  • Q17 (r = -0.98)
    I enjoy playing the villain in games and torturing other characters.
  • Q21 (r = -0.15)
    I'd do anything, even break the law, for those I love.
  • Q24 (r = -0.09)
    I have had some really good friends.

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

Dimension Profile Mean SD 50% Verbal Cruelty 70.7% 7.9 Physical Aggression 63% 5.8 Violence Enjoyment 59.2% 6.2 Dominance & Control 51.2% 28.6 Emotional Coldness 30.8% 10
Dimension Interpretation

The highest scoring dimension in the current sample was Verbal Cruelty (70.7%). The lowest scoring dimension was Emotional Coldness (30.8%). 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.

Normative Dataset Growth 126 May 2026 133 Jun 2026
Dataset Growth Interpretation

The current normative dataset contains 133 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.

Normative Data Notice

A total of 133 participant responses were available for this assessment. Dimension-level norms were calculated using 132 valid response records. Approximately 1 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 133 anonymous participant responses collected through voluntary participation. The observed mean score was 53.05 with a standard deviation of 4.13, indicating moderate score variability within the sampled population. Internal consistency reliability analysis produced a Cronbach alpha of -0.262, which falls below commonly accepted psychometric standards and should be interpreted cautiously until additional data are collected. Observed skewness (1.02) and kurtosis (5.28) were examined as indicators of distribution quality. The distribution demonstrated mild departures from normality, although the overall score pattern remained broadly interpretable for preliminary normative purposes.

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

Download CSV Dataset

Research Citation

Comprehensive Assessment of Sadistic Tendencies (CAST). Trait Profiler Interactive Research Dataset. Retrieved from https://traitprofiler.com/sadism-test/statistics/

License: Creative Commons Attribution 4.0 International (CC BY 4.0)