NeuroFrame
An immersive mobile game built on advanced neurobiological models of personality to identify personal strengths and weaknesses.
Scientific foundation and psychometric reliability
We rely on modern personality models and rigorous validation methods to ensure accurate and objective assessments
  • Scientific Basis
    The assessment is developed using evidence-centered design (ECD) and grounded in contemporary neurobiological personality models, including Reinforcement Sensitivity Theory (RST), Eysenck’s PEN model, Five Factor Model (FFM), and the more biologically oriented Cybernetic Big Five Theory (CB5T).
  • Sample & Benchmarks
    Our research covers over 10’000 corporate managers and entrepreneurs from 500+ companies, ranging from small startups to multinational corporations across 20+ industries and 18 functional domains, spanning multiple regions worldwide.
  • Construct Validity
    Exploratory Factor Analysis (EFA) identified two primary domains: Cognitive and Personality. Confirmatory Factor Analysis (CFA) demonstrated a strong model fit to empirical data, with χ²/DF, CFI (0.96), IFI, and RMSEA values all within accepted psychometric standards.
  • Criterion Validity
    Cognitive scales demonstrated strong correlations with gold-standard cognitive ability tests, including Raven’s Advanced Progressive Matrices (RAPM) and Saville’s Aptitude assessments, as well as comprehensive measures of key cognitive functions (attention, memory, cognitive flexibility). Personality scales were validated against established psychometric frameworks, confirming their alignment with key constructs such as Openness to Experience, Risk Propensity, Persistence, Agreeableness, and Conscientiousness. Predictive models, including Machine Learning approaches (Decision Trees, Random Forest, and Gradient Boosting) and statistical Regression analyses confirmed significant associations between cognitive performance, personality predispositions, and GBA scores with R²≈0.46 and correlations ranging from r=0.52 to 0.71.
  • Job Performance Prediction
    External validation against job performance metrics, including objective KPIs and reliable manager ratings from over 100 employees across multiple functions, demonstrated significant correlations with GBA scores, confirming its predictive utility in workplace settings.
  • Reliability
    The assessment demonstrated strong internal consistency across scales (α = 0.69-0.74), ensuring measurement reliability.High test-retest reliability confirmed its ability to assess stable individual traits rather than temporary state fluctuations.
  • Practical Application
    GBA NeuroFrame is designed for data-driven talent assessment, providing insights into employees’ cognitive styles and personality. It supports HR professionals in optimizing hiring, leadership development, and team performance. GBA NeuroFrame has been successfully applied across multiple industries, including finance, IT, manufacturing, retail, education, and logistics, helping companies build stronger, high-performing teams.
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