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Relationships of participative leadership with relational demography variables: a multi-level perspective

机译:参与式领导与关系人口统计学变量的关系:多层次视角

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Relationships of participative leadership with relational demography variables (age, tenure, education, and gender) were explored in an integrated model, combining the ALS (Average Leadership Style) and the LMX (Leader-Member Exchange) approaches to leadership. Data were collected from 561 staff members from 36 schools. The r_(wg) and the WABA (within-and between-analysis) results indicated the prevalence of the LMX model and the individual-differences approach in explaining the relationship of the leader's participative behaviors with relational demography variables. In addition, consistent with the study hypotheses, the negative relationship between demographic dissimilarity and PDM (participative decision-making) was stronger in short-term superior-subordinate relationships than in longer-term relationships. These results should encourage researchers to theorize on, and then test for levels of analysis when studying participative leadership.
机译:在整合模型中探索了参与式领导与关系人口统计学变量(年龄,任期,教育和性别)之间的关系,结合了ALS(平均领导风格)和LMX(领导者与会员交换)方法进行领导。数据来自36所学校的561名员工。 r_(wg)和WABA(分析内和分析间)结果表明LMX模型的普遍性和个体差异方法用于解释领导者的参与行为与相关人口统计学变量的关系。此外,与研究假设相一致,短期上级关系中的人口统计学差异与PDM(参与性决策)之间的负关系要强于长期关系。这些结果应鼓励研究人员进行理论研究,然后在研究参与式领导力时测试分析水平。

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