Cyclothymia Test

Research Dataset

Deenz Cyclothymia Scale (DSC-32)

Normative and Psychometric Statistics
ROBUST N=603 α=0.913 44Countries

Deenz Cyclothymia Scale (DSC-32) normative dataset currently contains 603 participant records collected between Jun 6, 2026 and Jul 11, 2026 .

This psychometric dataset currently includes 603 anonymous participant responses collected through voluntary participation. The observed mean score was 69.76 with a standard deviation of 13.75, indicating moderate score variability within the sampled population. Internal consistency reliability analysis demonstrated excellent reliability (Cronbach alpha = 0.913). Observed skewness (-0.87) and kurtosis (2.12) were examined as indicators of distribution quality. The score distribution appeared reasonably balanced and did not suggest substantial departures from normality.

603
Participants
44
Countries
32
Scale Items
0.913
Reliability
Table 1
Dataset Overview
Assessment Deenz Cyclothymia Scale (DSC-32)
Research Status Robust Dataset
Dataset Maturity 90 /100 — ROBUST
Participants 603
Countries Represented 44
Items 32
Dimensions 4
Data Collection Period Jun 6, 2026 – Jul 11, 2026
Reliability α = 0.913
Note. The current Deenz Cyclothymia Scale (DSC-32) dataset contains 603 participant records collected from 44 countries. Dataset maturity reflects sample size, geographic diversity, and internal consistency reliability.

Table 2
Descriptive Statistics
Statistic Value
Mean Score 69.76%
Median Score 70
Standard Deviation 13.75
Variance 189.17
Standard Error 0.56
95% CI Lower 68.66
95% CI Upper 70.86
Minimum Score 2%
Maximum Score 97%
Observed Range 95
Note. M = 69.76, SD = 13.75, Median = 70. The 95% confidence interval ranged from 68.66 to 70.86.

Table 3
Sample Characteristics
Variable Summary
Participants N = 603
Countries 44
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 44 countries. The largest contribution originated from BR (19.7% of available geographic records).

Table 4
Percentile Norms
Percentile Score Interpretation
10th 53% Very Low
25th 63% Below Average
50th 70% Average
75th 79% Above Average
90th 87% Elevated
Note. Percentile values provide preliminary normative benchmarks derived from the current Deenz Cyclothymia Scale (DSC-32) sample.

Figure 2
Score Distribution
Note. Observed scores ranged from 2% to 97% (M = 69.76, SD = 13.75). Distribution characteristics included skewness (-0.87) and kurtosis (2.12). Distribution indices suggested no substantial departures from normality.

Table 5
Reliability Analysis
Metric Value
Cronbach Alpha 0.913
Reliability Classification Excellent
Participants 603
Items 32
Standard Error 0.56
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 Q12 0.64 Excellent Q21 0.63 Excellent Q11 0.61 Excellent Q15 0.6 Excellent Q14 0.59 Excellent Q16 0.59 Excellent Q22 0.59 Excellent Q31 0.57 Excellent Q28 0.55 Excellent Q24 0.54 Excellent Q18 0.53 Excellent Q23 0.52 Excellent Q3 0.5 Excellent Q5 0.49 Acceptable Q9 0.49 Acceptable Q30 0.49 Acceptable Q10 0.49 Acceptable Q7 0.48 Acceptable Q25 0.48 Acceptable Q27 0.47 Acceptable Q1 0.47 Acceptable Q26 0.46 Acceptable Q29 0.46 Acceptable Q4 0.44 Acceptable Q17 0.41 Acceptable Q19 0.4 Acceptable Q13 0.38 Acceptable Q2 0.37 Acceptable Q8 0.36 Acceptable Q6 0.34 Acceptable Q20 0.3 Weak Q32 0.04 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 identified2 itemsthat may benefit from future review.

Items Recommended for Future Review
  • Q20 (r = 0.3)
    I sleep more than usual when I feel down.
  • Q32 (r = 0.04)
    I notice that I often overestimate or underestimate what I can do.
The lowest item–total correlation was observed for Q32 ("I notice that I often overestimate or underestimate what I can do."; r = 0.04), indicating comparatively weaker alignment with the overall construct.

Table 7
Dimension Norms
Dimension Mean SD N
Depressive 76.92% 17.23 603
Mood Instability 71.63% 19.88 603
Cognitive 67.18% 16.7 603
Hypomanic 63.4% 17.07 603
Note. Dimension statistics summarize normative performance across the major constructs measured by Deenz Cyclothymia Scale (DSC-32).

Figure 5
Dimension Profile
Note. The highest observed dimension was Depressive (76.9%), whereas the lowest observed dimension was Hypomanic (63.4%). The observed difference between dimensions was 13.5 percentage points. Moderate variation was observed between dimensions.

Table 8
Dataset Growth Summary
Metric Value
Current Participants 603
Countries 44
Collection Start Jun 6, 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 603 participant responses were available for this assessment. Dimension-level norms were calculated using 603 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 Cyclothymia Scale (DSC-32). Research Dataset. Retrieved from https://drdeenz.com/cyclothymia-test/statistics/

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