Drdeenz_ The Psychometric Tool

Suicidal Test – Am I Suicidal?
Research Dataset

Deenz Suicidal Tendency Scale (DSTS-25)

Normative and Psychometric Statistics
ROBUST N=1010 α=0.946 65Countries
Abstract

Deenz Suicidal Tendency Scale (DSTS-25) normative dataset currently contains 1010 participant records collected between Jun 10, 2026 and Jul 11, 2026 .

This psychometric dataset currently includes 1010 anonymous participant responses collected through voluntary participation. The observed mean score was 72.11 with a standard deviation of 18.15, indicating moderate score variability within the sampled population. Internal consistency reliability analysis demonstrated excellent reliability (Cronbach alpha = 0.946). Observed skewness (-1.3) and kurtosis (2.49) 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.

1010
Participants
65
Countries
25
Scale Items
0.946
Reliability
Table 1
Dataset Overview
Assessment Deenz Suicidal Tendency Scale (DSTS-25)
Research Status Robust Dataset
Dataset Maturity 100 /100 — ROBUST
Participants 1010
Countries Represented 65
Items 25
Dimensions 5
Data Collection Period Jun 10, 2026 – Jul 11, 2026
Reliability α = 0.946
Note. The current Deenz Suicidal Tendency Scale (DSTS-25) dataset contains 1010 participant records collected from 65 countries. Dataset maturity reflects sample size, geographic diversity, and internal consistency reliability.
Table 2
Descriptive Statistics
Statistic Value
Mean Score 72.11%
Median Score 75
Standard Deviation 18.15
Variance 329.49
Standard Error 0.57
95% CI Lower 71
95% CI Upper 73.23
Minimum Score 0%
Maximum Score 100%
Observed Range 100
Note. M = 72.11, SD = 18.15, Median = 75. The 95% confidence interval ranged from 71 to 73.23.
Table 3
Sample Characteristics
Variable Summary
Participants N = 1010
Countries 65
Age Information Available
Gender Information Available
Note. Demographic information was collected voluntarily. Participant counts may vary across demographic categories when information was not reported.
Figure 1
Global Participation
Note. Participants were represented across 65 countries. The largest contribution originated from US (37.5% of available geographic records).
Table 4
Percentile Norms
Percentile Score Interpretation
10th 52% Very Low
25th 63% Below Average
50th 75% Average
75th 85% Above Average
90th 93% Elevated
Note. Percentile values provide preliminary normative benchmarks derived from the current Deenz Suicidal Tendency Scale (DSTS-25) sample.
Figure 2
Score Distribution
Note. Observed scores ranged from 0% to 100% (M = 72.11, SD = 18.15). Distribution characteristics included skewness (-1.3) and kurtosis (2.49). Distribution indices suggested mild departures from normality.
Table 5
Reliability Analysis
Metric Value
Cronbach Alpha 0.946
Reliability Classification Excellent
Participants 1010
Items 25
Standard Error 0.57
Note. Internal consistency was estimated using Cronbach alpha. Reliability estimates are based on the current normative dataset and may change as additional responses are collected.
Item–Total Correlations
Item Item Quality r Rating Q9 0.75 Excellent Q16 0.72 Excellent Q21 0.72 Excellent Q15 0.71 Excellent Q7 0.7 Excellent Q12 0.69 Excellent Q14 0.69 Excellent Q4 0.68 Excellent Q11 0.67 Excellent Q19 0.67 Excellent Q20 0.66 Excellent Q2 0.66 Excellent Q6 0.66 Excellent Q13 0.66 Excellent Q8 0.64 Excellent Q22 0.63 Excellent Q23 0.63 Excellent Q3 0.62 Excellent Q24 0.59 Excellent Q1 0.58 Excellent Q18 0.58 Excellent Q17 0.57 Excellent Q5 0.54 Excellent Q10 0.51 Excellent Q25 0.01 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 identified1 itemthat may benefit from future review.

Items Recommended for Future Review
  • Q25 (r = 0.01)
    I have thought about ways to end my life.
The lowest item–total correlation was observed for Q25 ("I have thought about ways to end my life."; r = 0.01), indicating comparatively weaker alignment with the overall construct.
Table 7
Dimension Norms
Dimension Mean SD N
Helplessness 77.15% 20.37 1010
Worthlessness 76.56% 22.83 1010
Burden Perception 71.43% 25.77 1010
Hopelessness 69.41% 22.05 1010
Desire to Escape Pain 65.94% 18.69 1010
Note. Dimension statistics summarize normative performance across the major constructs measured by Deenz Suicidal Tendency Scale (DSTS-25).
Figure 5
Dimension Profile
Note. The highest observed dimension was Helplessness (77.2%), whereas the lowest observed dimension was Desire to Escape Pain (65.9%). The observed difference between dimensions was 11.2 percentage points. Moderate variation was observed between dimensions.
Table 8
Dataset Growth Summary
Metric Value
Current Participants 1010
Countries 65
Collection Start Jun 10, 2026
Collection End Jul 11, 2026
Months Recorded 2
Note. Growth statistics summarize cumulative participation throughout the observed data collection period.
Normative Data Notice

A total of 1010 participant responses were available for this assessment. Dimension-level norms were calculated using 1010 valid response records. Approximately 0 response record(s) were excluded from dimension-level normative calculations due to incomplete response patterns.

Limitations

Normative statistics are derived from voluntary participation and may not represent all populations. Reliability estimates, percentile norms, and dimension statistics should be interpreted in the context of the current sample and may change as additional responses are collected.

Ethical Statement

All records included in this dataset were collected anonymously. No personally identifying information is stored. Data are intended for educational, psychometric, and research purposes.

Recommended Citation

Deenz Suicidal Tendency Scale (DSTS-25). Research Dataset. Retrieved from https://drdeenz.com/suicidal-test-am-i-suicidal/statistics/

Dataset Export

Download CSV Dataset

PDF