PSYCHOMETRIC ANALYSIS OF WORK LIFE INTEGRATION FOR WOMEN IN STEM

Authors

  • CHANDNI SAWLANI ASSISTANT PROFESSOR, KALINGA UNIVERSITY, RAIPUR, INDIA.
  • MRUTYUNJAYA BHANJA ASSISTANT PROFESSOR, KALINGA UNIVERSITY, RAIPUR, INDIA.
  • DR. SAVITA GAUTAM PROFESSOR, NEW DELHI INSTITUTE OF MANAGEMENT, NEW DELHI, INDIA.

Keywords:

Work–life integration, STEM women, psychometric validation, factor analysis, work–life conflict, gender in science and engineering

Abstract

Work–life integration is particularly critical for women balancing complex STEM careers, as it impacts psychological well-being and the ability to sustain a career. While gender equity is receiving attention, there is a lack of psychological measurement instruments tailored to women in STEM and their experiences of work–life integration. The purpose of this study is to assess the reliability and validity of a Work–Life Integration Scale designed for this population. A cross-sectional survey study was conducted with 218 female professionals from different STEM fields. Through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), a three-factor model was identified, consisting of Work Interference with Personal Life, Role Alignment, and Flexibility & Support. The scale exhibited high internal consistency (Cronbach's α = 0.88) and the CFA model displayed acceptable fit indices (CFI = 0.94, RMSEA = 0.06). The findings support the scale's psychometric rigor and validity for practical purposes and policy development in organizational systems. The text provides implications for HR practices, intervention, career support systems, and accompanying cross-validation studies.

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How to Cite

SAWLANI, C., BHANJA, M., & GAUTAM, D. S. (2025). PSYCHOMETRIC ANALYSIS OF WORK LIFE INTEGRATION FOR WOMEN IN STEM. TPM – Testing, Psychometrics, Methodology in Applied Psychology, 32(S4(2025): Posted 17 July), 1020–1025. Retrieved from https://tpmap.org/submission/index.php/tpm/article/view/652