Conceptualizing Leader-Member Exchange as a Second-Order Construct.
1Department of Communication Arts and Sciences, The Pennsylvania State University, University Park, PA, United States.
Frontiers in Psychology
|July 25, 2022
Summary
Researchers investigated leader-member exchange (LMX) measures, finding that most assess the same underlying construct. This suggests current measurement proliferation may not be necessary for understanding LMX dynamics.
Area of Science:
- Organizational Behavior
- Psychology
- Management Science
Background:
- Extensive scholarly effort has been dedicated to developing valid measures of leader-member exchange (LMX).
- The necessity of this proliferation in LMX measurement tools remains uncertain.
- It is unclear if newly developed LMX measures offer sufficient differentiation from established ones.
Purpose of the Study:
- To evaluate the distinctiveness of various leader-member exchange (LMX) measurement instruments.
- To determine if existing and novel LMX measures capture unique conceptual variance.
- To assess the construct validity and convergence of different LMX scales.
Main Methods:
- A comprehensive review of the current landscape of leader-member exchange (LMX) measurement.
- Empirical investigation through three distinct studies examining multiple LMX scales.
- Statistical analysis to assess the relationships and underlying factor structures of various LMX measures.
Main Results:
- Findings indicate a high degree of convergence among the leader-member exchange (LMX) measures examined.
- Virtually all investigated LMX measures function as indicators of a single, shared second-order factor.
- The results suggest that most LMX measures are tapping into the same fundamental construct.
Conclusions:
- The proliferation of leader-member exchange (LMX) measures may be redundant, as most assess the same core construct.
- Future research should consider the shared variance when selecting or developing LMX instruments.
- A unified understanding of leader-member exchange (LMX) may be achievable with fewer, well-validated measures.
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