Follower behavior renders leader behavior endogenous: The simultaneity problem, estimation challenges, and solutions
Section snippets
Theoretical background
Common definitions of leadership assume that leadership involves an influencing process between a leader and his/her followers that is determined by leader traits and behaviors, by follower perceptions and behaviors towards the leader, and by the context in which leaders interact with their followers (Bass and Bass, 2008). Essentially, this definition implies that leader-related variables are a cause of follower-related variables but also that leader-related variables can be a consequence for
Overview of studies
To demonstrate the challenges associated with simultaneity bias and offer solutions in terms of estimation approaches and research designs, we present three research studies (one empirical observational study, one study using simulated data, and one experimental study). Starting with Study 1, an empirical observation study, our goal is to demonstrate the theoretical idea behind simultaneity, that is, followers and leaders mutually influencing each other. Because the leadership field is
Study 1
We use the case of follower resistance as an example of followers' influence on their leader, thereby highlighting the fact that leader behavior can be endogenous to follower behavior. Specifically, we theorize about the influence of follower resistance on leader control. Because followers who express resistance may be perceived as criticizing and interrupting the workflow, leaders commonly associate resistance as being counterproductive (Waddell and Sohal, 1998). Due to this negative
Study 2
We conducted a demonstration using simulated data to illustrate the consequences of simultaneity bias on the results of an OLS regression (e.g., as part of a simple regression or an ANOVA, which is commonly used in leadership research to estimate the relationship between leaders and their followers). To this end, we contrasted the frequently used method of OLS to the less known instrumental variable estimation method of 2SLS and demonstrate how 2SLS helps to alleviate simultaneity bias.
Design
We used an experimental ABAB design (Hersen and Barlow, 1976), which is typically employed to evaluate the relationship between an intervention and the frequency or magnitude of a dependent variable. It contrasts the effects of an intervention (A) to the effects of a baseline (B) by alternating intervention and baseline conditions. The ABAB design offers several benefits, such as increasing internal validity, limiting the influence of confounding variables, and allowing the investigation of
General discussion
The present research illustrates the severe consequences associated with simultaneity bias in leadership research and provides different approaches to deal with this bias, with the hope of inspiring more rigorous research practices that correct for endogeneity resulting from simultaneity bias. In Study 1, we used lag sequential analysis allowing us to identify that the likelihood of leader control within the leader-follower interaction process is increased by preceding follower resistance.
Conclusion
This set of studies illustrated how leadership research suffers from the endogeneity problem, especially with respect to simultaneity bias, and provides potential solutions for this issue. The issue of considering all information relevant to correctly identifying a leadership model has plagued leadership research. Whereas the limitations of observational research regarding causal analysis are well established, many leadership and organizational behavior studies have not paid sufficient
Declaration of competing interest
None.
Acknowledgements
We are grateful to our editor John Antonakis for his valuable guidance throughout the review process and we thank our three anonymous reviewers for their constructive feedback. Furthermore, we appreciate the helpful suggestions by Holger Steinmetz regarding statistical analysis and the help by Isabel van Oorschot in collecting data.
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2023, Leadership QuarterlyCitation Excerpt :Measurement error, as described above, and common method bias, of which self-reports are a common component, often lead to endogeneity problems (Clougherty et al., 2016). Other problems such as omitted variables and simultaneity can contribute to endogeneity bias, such as when follower behaviors cause leader behaviors in the study of leadership (Güntner et al., 2020). Endogeneity issues are problematic because they bias effects; in such instances, the predictor variable is correlated with the error term in the model, which influences the true effect of the predictor on the outcome (Antonakis et al., 2010; Hill et al., 2021).
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