Abstract
Abstract. Research on high-quality relationships (HQR) between coworkers has garnered considerable interest, yet the original HQR measure (Carmeli, 2009) has been adapted in disparate ways (e.g., including vs. omitting the vitality subscale). Continued application is further complicated by incomplete reporting on the measure’s factor structure. Relatedly, findings that women often experience relationships differently than men highlight the need to test whether the HQR measure functions similarly across genders. We surveyed 401 employees (50% women) to test four competing models and examine invariance across genders. Findings revealed that HQR is best conceptualized as six distinct but correlated constructs. Further, full scalar invariance was observed across genders, indicating that the measure functioned equivalently and can be used in gender comparisons involving HQR constructs.
References
2006). Robust chi square difference testing with mean and variance adjusted test statistics. Retrieved from www.statmodel.com/download/webnotes/webnote10.pdf
(2014). Relative performance of categorical diagonally weighted least squares and robust maximum likelihood estimation. Structural Equation Modeling, 21, 102–116. https://doi.org/10.1080/10705511.2014.859510
(2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling, 13, 186–203. https://doi.org/10.1207/s15328007sem1302_2
(2008). Can an angry woman get ahead? Status conferral, gender, and expression of emotion in the workplace. Psychological Science, 19, 268–275. https://doi.org/10.1111/j.1467-9280.2008.02079.x
(2011). Linking capacities of high-quality relationships to team learning and performance in service organizations. Human Resource Management, 50, 455–477. https://doi.org/10.1002/hrm.20435
(2009).
(Positive work relationships, vitality, and job performance . In C. E. J. HartelN. M. AshkanasyW. J. ZerbeEds., Research on emotions in organizations: The effect of affect in organizational settings (Vol. 5, pp. 45–71). Bingley, UK: Emerald.2009). Learning behaviours in the workplace: The role of high-quality interpersonal relationships and psychological safety. Systems Research and Behavioral Science, 26, 81–98. https://doi.org/10.1002/sres.932
(2015). Respect as an engine for new ideas: Linking respectful engagement, relational information processing, and creativity among employees and teams. Human Relations, 68, 1021–1047. https://doi.org/10.1177/0018726714550256
(2009). High-quality relationships, psychological safety, and learning from failures in work organizations. Journal of Organizational Behavior, 30, 709–729. https://doi.org/10.1002/job.v30:610.1002/job.565
(2008). What happens if we compare chopsticks with forks? The impact of making inappropriate comparisons in cross-cultural research. Journal of Personality and Social Psychology, 95, 1005–1018. https://doi.org/10.1037/a0013193
(2003).
(The power of high-quality connections . In K. S. CameronJ. E. DuttonR. E. QuinnEds., Positive organizational scholarship (pp. 263–278). San Francisco, CA: Berret-Koehler.2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466–491. https://doi.org/10.1037/1082-989X.9.4.466
(2016). Gender differences in response to competition with same-gender coworkers: A relational perspective. Journal of Personality and Social Psychology, 110, 869–886. https://doi.org/10.1037/pspi0000051
(2010). A new psychology of women: Gender, culture, and ethnicity (3rd ed.). Long Grove, IL: Waveland Press.
(2013). Longitudinal structural equation modeling. New York, NY: Guilford Press.
(1998–2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Muthén & Muthén.
(2011). Gender, emotion and power in work relationships. Human Resource Management Review, 21, 377–393. https://doi.org/10.1016/j.hrmr.2011.05.001
(1984). Using phantom and imaginary latent variables to parameterize constraints in linear structural models. Psychometrika, 49, 37–47. https://doi.org/10.1007/BF02294204
(2014). Evaluating model fit with ordered categorical data within a measurement invariance framework: A comparison of estimators. Structural Equation Modeling, 21, 167–180. https://doi.org/10.1080/10705511.2014.882658
(