Gender Differences in Career Coaching Outcomes: A Quantitative Analysis using a Logit Model

Authors

DOI:

https://doi.org/10.54536/ajiri.v4i2.4785

Keywords:

Career Coaching, Career Planning Self-Efficacy, Coaching Satisfaction, Gender Supportiveness, Logistic Regression

Abstract

Career coaching is essential in supporting career development and improving workplace adaptability. However, gender-specific differences in coaching experiences remain unexplored, despite evidence that men and women often encounter distinct challenges shaped by societal norms and organizational cultures investigate whether career coaching factors, Career Planning Self-Efficacy, Perceived Gender Supportiveness, and Coaching Satisfaction, can predict participants’ gender using a binary logistic regression model. A quantitative, cross-sectional design was employed with data collected from 120 individuals engaged in career coaching programs. Participants completed a structured questionnaire measuring career self-efficacy, coaching satisfaction, and perceptions of gender supportiveness using validated Likert scales. Binary logistic regression was performed using Jamovi to examine the predictive power of these variables on gender classification, with model fit, classification accuracy, ROC-AUC, and collinearity checks included. The comprehensive model demonstrated statistical significance, χ²(3, N = 120) = 40.6, p < .001, exhibiting an exceptional fit (AUC = 0.888). Career Planning Self-Efficacy was the strongest predictor (OR = 2.89, p < .001), followed by Perceived Gender Supportiveness (OR = 3.65, p = .008), and Coaching Satisfaction (OR = 2.66, p = .005). Accuracy increased from 82.5% (cut-off 0.5) to 84.2% (cut-off 0.798) with improved balance between sensitivity and specificity. Career Planning Self-Efficacy, Perceived Gender Supportiveness, and Coaching Satisfaction significantly predicted gender classification in coaching contexts, with men reporting higher levels across these factors. The findings highlight the need for gender-responsive, inclusive coaching practices tailored to different career needs and perceptions.

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References

Acharya, K. P., Khanal, S. P., & Chhetry, D. (2022). Factors Affecting Poverty in Nepal-ABinary Logistic Regression Model Study. Pertanika J. Soc. Sci. & Hum, 30(2), 641–663.

Athanasopoulou, A., & Dopson, S. (2018). A systematic review of executive coaching outcomes: Is it the journey or the destination that matters the most? The Leadership Quarterly, 29(1), 70–88. https://doi.org/10.1016/j.leaqua.2017.11.004

Betz, N. E., & Hackett, G. (2006). Career Self-Efficacy Theory: Back to the Future. Journal of Career Assessment, 14(1), 3–11. https://doi.org/10.1177/1069072705281347

Bozer, G., Sarros, J. C., & Santora, J. C. (2013). The role of coachee characteristics in executive coaching for effective sustainability. Journal of Management Development, 32(3), 277–294. https://doi.org/10.1108/02621711311318319

Cañizares, S. M. a S., García, F. J. F., & Ruiz, C. A. (2007). Analyzing job satisfaction from a gender point of view: Empirical application with logit and probit model. Cuadernos de Gestión, 7(2), 55–67. https://doi.org/10.5295/cdg.19147ss

Costa, C., Durão, M., Bakas, F. E., Breda, Z., Carvalho, I., & Caçador, S. (2015). Walking on broken glass: The changing nature of gendered constraints to career development and performance. 23, 1–9.

Ely, R. J., Ibarra, H., & Kolb, D. M. (2011). Taking Gender Into Account: Theory and Design for Women’s Leadership Development Programs. Academy of Management Learning & Education, 10(3), 474–493. https://doi.org/10.5465/amle.2010.0046

Feldman, D. C., & Lankau, M. J. (2005). Executive Coaching: A Review and Agenda for Future Research. Journal of Management, 31(6), 829–848. https://doi.org/10.1177/0149206305279599

Gaoat, M. P., Magbitang, T. D., Bumanglag, J. D., & Ramirez, J. F. M. (2023). Research Self-Efficacy among Business Education Students of a Higher Education Institutional in Northern Philippines. American Journal of Interdisciplinary Research and Innovation, 2(1), 7–12. https://doi.org/10.54536/ajiri.v2i1.1145

Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression. John Wiley & Sons.

Jones, R. J., Woods, S. A., & Guillaume, Y. R. F. (2016). The effectiveness of workplace coaching: A meta-analysis of learning and performance outcomes from coaching. Journal of Occupational and Organizational Psychology, 89(2), 249–277. https://doi.org/10.1111/joop.12119

Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027

Lyness, K. S., & Grotto, A. R. (2018). Women and leadership in the United States: Are we closing the gender gap? Annual Review of Organizational Psychology and Organizational Behavior, 5(1), 227–265. https://doi.org/10.1146/annurev-orgpsych-032117-104739

Majake, R., & Kubayi, A. (2024). Where does it all start? Gender-differences in athletes’ intention to pursue a coaching career. African Journal of Career Development, 6(1). https://doi.org/10.4102/ajcd.v6i1.155

Menard, S. (2018). Applied logistic regression analysis (2nd ed.). https://doi.org/10.4135/9781544308542

Orser, B., & Leck, J. (2010). Gender influences on career success outcomes. Gender in Management: An International Journal, 25(5), 386–407. https://doi.org/10.1108/17542411011056877

Parra-Valencia, J.-A., & Massey, M. L. (2023). Exploring Gender Inequality and Practical Solutions for an Equitable Environment for Women in Scientific Vocations (pp. 193–209). Springer Nature. https://doi.org/10.1007/978-3-031-40635-5_8

Ruderman, M. N., & Ohlott, P. J. (2005). Leading Roles: What coaches of women need to know. Leadership in Action, 25(3), 3–9. https://doi.org/10.1002/LIA.1115

Schneider, B., González-Romá, V., Ostroff, C., & West, M. A. (2017). Organizational climate and culture: Reflections on the history of the constructs in the Journal of Applied Psychology. Journal of Applied Psychology, 102(3), 468.

Singer, A. R., Cassin, S. E., & Dobson, K. S. (2005). The Role of Gender in the Career Aspirations of Professional Psychology Graduates: Are There More Similarities Than Differences? Canadian Psychology, 46(4), 215–222. https://doi.org/10.1037/H0087029

Subhrajyoti, T., Kumar, R., Pratima Pradhan, P. P., & Acharya, A. K. (2023). The Interest of Undergraduate Students in Co-curricular Activities in Relation to their Leadership Skills. American Journal of Education and Technology, 2(1), 21–28. https://doi.org/10.54536/ajet.v2i1.1140

Van Nieuwerburgh, C. (2020). An introduction to coaching skills: A practical guide.

Vittinghoff, E., Glidden, D. V., Shiboski, S. C., & McCulloch, C. E. (2012). Regression methods in biostatistics: Linear, logistic, survival, and repeated measures models. Springer Science & Business Media.

Żukowska, J., & Miąsek, D. (2014). The role of coaching in managerial careers of women. 22, 56–66.

Published

2025-05-31

How to Cite

Adhikari, P., & Thapa, R. (2025). Gender Differences in Career Coaching Outcomes: A Quantitative Analysis using a Logit Model. American Journal of Interdisciplinary Research and Innovation, 4(2), 46–52. https://doi.org/10.54536/ajiri.v4i2.4785