📄 Abstract
Advanced Statistical and Structural Modeling (ASSM) systematically quantifies genetic and environmental influences across MPQ's four higher-order personality factors: Positive Emotionality (PEM), Negative Emotionality (NEM), Constraint (CON), and Absorption (AB/ABS). This research article examines the complex interplay between genetic predispositions and environmental influences on human psychological development. Utilizing a cross-sectional adoption design involving 100 participants, the study employs the Multidimensional Personality Questionnaire (MPQ), Pattern Recognition and Integrated Structural Modeling (PRISM), and Advanced Statistical and Structural Modeling (ASSM). This paper analyses the data from 100 participants, ASSM reveals balanced contributions: PEM (33% variance), NEM (29%), CON (36%), and AB (35%) explaining 75% total emotional regulation variance (CFI=0.97, RMSEA=0.04). PRISM identifies four distinct profiles, confirming heritability estimates of 40-60% across all factors and establishing their uniform genetic architecture in psychological development. Results indicate that while specific social roles and professional categories contribute to behavioral variability, they account for only a small portion of the total variance in personality scores. Instead, a significant majority of personality expression is attributable to genetic factors, underscoring the foundational role of heredity in shaping individual adaptability and resilience.
🏷️ Keywords
📚 How to Cite:
Bhavyaja Chakrala , ADVANCED STATISTICAL AND STRUCTURAL MODELING IN BEHAVIORAL GENETICS: COMPREHENSIVE ANALYSIS OF MPQ'S FOUR HIGHER-ORDER FACTORS , Volume 12 , Issue 1, January 2026, EPRA International Journal of Multidisciplinary Research (IJMR) ,