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Research Dataset

Deenz IEA Personality Inventory (DIEA)

Normative and Psychometric Statistics
PRELIMINARY N=220 α=0.51 30Countries
Abstract

Deenz IEA Personality Inventory (DIEA) normative dataset currently contains 220 participant records collected between Jun 11, 2026 and Jul 11, 2026 .

This psychometric dataset currently includes 220 anonymous participant responses collected through voluntary participation. The observed mean score was 52.04 with a standard deviation of 11.01, indicating moderate score variability within the sampled population. Internal consistency reliability analysis produced a Cronbach alpha of 0.51, which falls below commonly accepted psychometric standards and should be interpreted cautiously until additional data are collected. Observed skewness (-0.87) and kurtosis (1.4) were examined as indicators of distribution quality. The score distribution appeared reasonably balanced and did not suggest substantial departures from normality.

220
Participants
30
Countries
18
Scale Items
0.51
Reliability
Table 1
Dataset Overview
Assessment Deenz IEA Personality Inventory (DIEA)
Research Status Established Dataset
Dataset Maturity 40 /100 — PRELIMINARY
Participants 220
Countries Represented 30
Items 18
Dimensions 3
Data Collection Period Jun 11, 2026 – Jul 11, 2026
Reliability α = 0.51
Note. The current Deenz IEA Personality Inventory (DIEA) dataset contains 220 participant records collected from 30 countries. Dataset maturity reflects sample size, geographic diversity, and internal consistency reliability.
Table 2
Descriptive Statistics
Statistic Value
Mean Score 52.04%
Median Score 53
Standard Deviation 11.01
Variance 121.15
Standard Error 0.74
95% CI Lower 50.58
95% CI Upper 53.49
Minimum Score 11%
Maximum Score 74%
Observed Range 63
Note. M = 52.04, SD = 11.01, Median = 53. The 95% confidence interval ranged from 50.58 to 53.49.
Table 3
Sample Characteristics
Variable Summary
Participants N = 220
Countries 30
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 30 countries. The largest contribution originated from GB (15.5% of available geographic records).
Table 4
Percentile Norms
Percentile Score Interpretation
10th 38% Very Low
25th 46% Below Average
50th 53% Average
75th 61% Above Average
90th 65% Elevated
Note. Percentile values provide preliminary normative benchmarks derived from the current Deenz IEA Personality Inventory (DIEA) sample.
Figure 2
Score Distribution
Note. Observed scores ranged from 11% to 74% (M = 52.04, SD = 11.01). Distribution characteristics included skewness (-0.87) and kurtosis (1.4). Distribution indices suggested no substantial departures from normality.
Table 5
Reliability Analysis
Metric Value
Cronbach Alpha 0.51
Reliability Classification Poor
Participants 220
Items 18
Standard Error 0.74
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 Q3 0.38 Acceptable Q14 0.37 Acceptable Q17 0.36 Acceptable Q10 0.34 Acceptable Q13 0.34 Acceptable Q7 0.33 Acceptable Q16 0.33 Acceptable Q11 0.26 Weak Q2 0.23 Weak Q9 0.21 Weak Q1 0.16 Problematic Q4 0.11 Problematic Q18 0.1 Problematic Q8 -0.04 Problematic Q12 -0.07 Problematic Q15 -0.08 Problematic Q6 -0.13 Problematic Q5 -0.14 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 identified11 itemsthat may benefit from future review.

Items Recommended for Future Review
  • Q1 (r = 0.16)
    Friends say I don’t talk much at parties.
  • Q2 (r = 0.23)
    I hate deep talks.
  • Q4 (r = 0.11)
    I usually follow back the people who follow me.
  • Q5 (r = -0.14)
    I find it hard to sit quietly.
  • Q6 (r = -0.13)
    I prefer new friends to old ones.
  • Q8 (r = -0.04)
    I enjoy being noticed.
  • Q9 (r = 0.21)
    I hate quiet/shy people.
  • Q11 (r = 0.26)
    I feel people are watching me when I go out.
  • Q12 (r = -0.07)
    I hate sitting quietly for too long.
  • Q15 (r = -0.08)
    People say I talk a lot.
  • Q18 (r = 0.1)
    I speak first and think later.
The lowest item–total correlation was observed for Q5 ("I find it hard to sit quietly."; r = -0.14), indicating comparatively weaker alignment with the overall construct.
Table 7
Dimension Norms
Dimension Mean SD N
Introversion 63.35% 21 220
Ambiversion 60.57% 23.5 220
Extroversion 42.8% 16.43 220
Note. Dimension statistics summarize normative performance across the major constructs measured by Deenz IEA Personality Inventory (DIEA).
Figure 5
Dimension Profile
Note. The highest observed dimension was Introversion (63.4%), whereas the lowest observed dimension was Extroversion (42.8%). The observed difference between dimensions was 20.6 percentage points. Substantial variation was observed between dimensions.
Table 8
Dataset Growth Summary
Metric Value
Current Participants 220
Countries 30
Collection Start Jun 11, 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 220 participant responses were available for this assessment. Dimension-level norms were calculated using 220 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 IEA Personality Inventory (DIEA). Research Dataset. Retrieved from https://drdeenz.com/introvert-extrovert-test/statistics/

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