Science

Scientific foundation

Our assessments are based on validated psychometric models and ongoing research to ensure reliability and validity.

Scientific Research
α > 0,8
Internal consistency

Our assessments meet the highest standards of psychometric quality.

α > 0,8
Internal consistency
> 0,85
Temporal stability
Content
Content validity
Construct
Construct validity

Validated models

Why4® builds on globally recognized models: DISC, Spranger, Emotional Intelligence (Goleman), Cultural Intelligence (Earley & Ang, 2003) and the CHC cognitive model.

  • DISC: 4 proven behavioral dimensions
  • Spranger: 6 validated deep motivations
  • Emotional Intelligence: Goleman model (5 pillars)
  • Cultural Intelligence: CQ model (Earley & Ang, 2003) — 4 dimensions
  • Cognitive: Cattell-Horn-Carroll (CHC) model

Psychometric validation

We maintain high psychometric quality standards with regular reliability and validity studies.

  • Reliability coefficients (Cronbach's α) above 0.80
  • Demonstrated content and construct validity
  • Ongoing validation studies on diverse populations

Research & Innovation

Our R&D team continuously works to improve our tools and develop new approaches.

  • AI integration for deeper insights
  • Applied research on emotional intelligence
  • Self-evolving architecture — every assessment continuously refines the predictive model
  • Compliance with international standards: ISO 10667, APA, EFPA
Whey — Proprietary Artificial Intelligence

A Self-Evolving Intelligence Engine

Whey doesn't just analyze the job market — it <strong>continuously learns</strong> from each completed assessment. Its dual architecture — proprietary LLM + predictive World Model — forms a closed improvement loop that makes the system more accurate with each cycle.

The Whey pipeline

From raw data to calibrated psychometric score

  1. 1
    Massive ingestion
    1.5M results/month · 504 RSS feeds · LinkedIn.
  2. 2
    LLM Analysis
    Mistral extracts implicit behavioral dimensions: Dominance, Influence, Stability, Compliance, EQ, CQ.
  3. 3
    Regional contextualization
    The World Model applies cultural weightings CH/EU/GCC — measurement invariance across markets.
  4. 4
    Psychometric calibration
    IRT + DIF · Cronbach α > 0.85 · test-retest > 0.88 · ISO 10667 and APA standards alignment.
  5. 5
    Feedback loop
    Each completed assessment feeds back into the World Model via meta-learning. The system improves continuously.
The heart of the system

The Whey self-evolution loop

Each completed assessment, each ingested job offer, each analyzed profile feeds back into the World Model. The system never stagnates — it converges towards increasing precision.

Continuous collection
1.5M signals/month — offers, profiles, publications — ingested and normalized automatically.
LLM Analysis
The LLM extracts implicit behavioral dimensions and generates raw scores by role and region.
World Model correction
The predictive World Model constrains, validates and recalibrates scores according to regional cultural norms.
Meta-learning
Real response distributions feed back into the World Model via few-shot learning — the system improves with each cycle.
What the system guarantees
> 0.85
Cronbach α
> 0.88
Test-retest
Monthly
Update cycle
Academic References

Scientific Bibliography

1
DISC Theoretical Foundation
Marston, W. M. (1928)
Emotions of Normal People
Harcourt, Brace & Company
2
Why6® Theoretical Foundation
Spranger, E. (1928)
Types of Men
Steinkopf (Université de Berlin)
3
DISC Instrument Validation
Geier, J. G. (1979)
D.I.S.C. Personal Profile System: Manual
Performax Systems International
4
Big Five - NIH
Costa, P. T., & McCrae, R. R. (1992)
Revised NEO Personality Inventory (NEO PI-R)
Psychological Assessment Resources
5
Meta-analysis - 162 studies
Barrick, M. R., & Mount, M. K. (1991)
The Big Five personality dimensions and job performance
Personnel Psychology, 44(1), 1–26
6
University of Florida
Judge, T. A., Heller, D., & Mount, M. K. (2002)
Five-factor model of personality and job satisfaction
Journal of Applied Psychology, 87(3), 530–541
7
Harvard Business Review
Goleman, D. (1998)
Working with Emotional Intelligence
Bantam Books / Harvard Business Review Press
8
Yale / UNH
Mayer, J. D., Salovey, P., & Caruso, D. R. (2004)
Emotional intelligence: Theory, findings, and implications
Psychological Inquiry, 15(3), 197–215
9
University of Texas
Bar-On, R. (2006)
The Bar-On model of emotional-social intelligence (ESI)
Psicothema, 18(Suppl.), 13–25
10
Australia
Schutte, N. S., Malouff, J. M., et al. (2009)
Exploring the validity of a measure of trait emotional intelligence
Journal of Personality Assessment, 91(5), 444–450
11
Harvard - Psycho-lexical
Allport, G. W., & Odbert, H. S. (1936)
Trait-names: A psycho-lexical study
Psychological Monographs, 47(1), i–171
12
16PF - Illinois
Cattell, R. B. (1943)
The description of personality: Basic traits resolved into clusters
Journal of Abnormal and Social Psychology, 38(4), 476–506
13
Tulane University
Hogan, R., & Holland, B. (2003)
Using theory to evaluate personality and job-performance relations
Journal of Applied Psychology, 88(1), 100–112
14
Yale - Original Concept
Salovey, P., & Mayer, J. D. (1990)
Emotional intelligence
Imagination, Cognition and Personality, 9(3), 185–211
15
Michigan / Western Ontario
Tett, R. P., Jackson, D. N., & Rothstein, M. (1991)
Personality measures as predictors of job performance
Personnel Psychology, 44(4), 703–742
16
International Standard
ISO 10667 (2020)
Assessment service delivery — Procedures and methods
International Organization for Standardization (ISO)
17
International Guidelines
International Test Commission (ITC) (2001)
International Guidelines for Test Use
ITC Guidelines (Revised 2013)
18
APA Standards
American Psychological Association (APA) (2014)
Standards for Educational and Psychological Testing
APA / AERA / NCME
19
European Standards
European Federation of Psychologists Associations (EFPA) (2013)
EFPA Review Model for the Description and Evaluation of Psychological Tests
European Psychologist, 18(2), 87–99
20
UK Standards
British Psychological Society (BPS) (2017)
Testing and Assessment: Guidance on Test Use
BPS Psychological Testing Centre
21
CQ Foundational Source
Earley, P. C., & Ang, S. (2003)
Cultural Intelligence: Individual Interactions Across Cultures
Stanford University Press
22
CQ Psychometric Model — 4 Dimensions
Ang, S., Van Dyne, L., et al. (2007)
Cultural Intelligence: Its Measurement and Effects
Management and Organization Review, 3(3), 335–371
23
CQS — Cultural Intelligence Scale
Van Dyne, L., Ang, S., & Koh, C. (2008)
Development and Validation of the CQS
Handbook of Cultural Intelligence. M. E. Sharpe
24
CQ Model Sub-Dimensions
Van Dyne, L., Ang, S., et al. (2012)
Sub-Dimensions of the Four Factor Model of Cultural Intelligence
Social and Personality Psychology Compass, 6(4), 295–313
25
CQ Academic Synthesis
Van Dyne, L., Ang, S., & Nielsen, T. M. (2016)
Cultural Intelligence
Oxford Bibliographies in Management
26
CQ — Domain and Assessment
Thomas, D. C., et al. (2008)
Cultural Intelligence: Domain and Assessment
International Journal of Cross Cultural Management, 8(2), 123–143
27
CQ vs IQ/EQ — Managerial Effectiveness
Rockstuhl, T., et al. (2011)
Beyond General Intelligence (IQ) and Emotional Intelligence (EQ)
Journal of Social Issues, 67(4), 825–840
28
CQ and Negotiation Outcomes
Imai, L., & Gelfand, M. J. (2010)
The Culturally Intelligent Negotiator
Organizational Behavior and Human Decision Processes, 112(2), 83–98
29
CQ — Personality and Metacognition
Chao, M. M., Takeuchi, R., & Foo, M. D. (2017)
Deciphering Cultural Intelligence
Academy of Management Proceedings, 2017(1)
30
CQ in the Hospitality Industry
Chen, A. S., Lin, Y. C., & Sawangpattanakul, A. (2011)
Cultural Intelligence and Performance in the International Hospitality Industry
International Journal of Contemporary Hospitality Management, 23(1), 84–98
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