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Journal ArticleDOI

Context and leadership: An examination of the nine-factor full-range leadership theory using the Multifactor Leadership Questionnaire.

TLDR
In this paper, the authors examined the validity of the measurement model and factor structure of Bass and Avolio's Multifactor Leadership Questionnaire (MLQ) (Form 5X).
Abstract
In this study, we examined the validity of the measurement model and factor structure of Bass and Avolio’s Multifactor Leadership Questionnaire (MLQ) (Form 5X). We hypothesized that evaluations of leadership—and hence the psychometric properties of leadership instruments—may be affected by the context in which leadership is observed and evaluated. Using largely homogenous business samples consisting of 2279 pooled male and 1089 pooled female raters who evaluated same-gender leaders, we found support for the nine-factor leadership model proposed by Bass and Avolio. The model was configurally and partially metrically invariant—suggesting that the same constructs were validly measured in the male and female groups. Mean differences were found between the male and female samples on four leadership factors (Study 1). Next, using factor-level data of 18 independently gathered samples (N=6525 raters) clustered into prototypically homogenous contexts, we tested the nine-factor model and found it was stable (i.e., fully invariant) within homogenous contexts (Study 2). The contextual factors comprised environmental risk, leader–follower gender, and leader hierarchical level. Implications for use of the MLQ and nine-factor model are discussed.

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Authentic Leadership: Development and Validation of a Theory-Based Measure†:

TL;DR: The authors developed and tested a theory-based measure of authentic leadership using five separate samples obtained from China, Kenya, and the United States, and found a positive relationship between authentic leadership and supervisor-rated performance.
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Transformational, Transactional, and Laissez-Faire Leadership Styles: A Meta-Analysis Comparing Women and Men

TL;DR: A meta-analysis of 45 studies of transformational, transactional, and laissez-faire leadership styles found that female leaders were more transformational than male leaders and also engaged in more of the contingent reward behaviors that are a component of transactional leadership.
Posted Content

On making causal claims : A review and recommendations

TL;DR: In this article, the authors present methods that allow researchers to test causal claims in situations where randomization is not possible or when causal interpretation could be confounded; these methods include fixed-effects panel, sample selection, instrumental variable, regression discontinuity, and difference-in-differences models.
Journal ArticleDOI

On making causal claims: A review and recommendations

TL;DR: In this article, the authors present methods that allow researchers to test causal claims in situations where randomization is not possible or when causal interpretation could be confounded; these methods include fixed-effects panel, sample selection, instrumental variable, regression discontinuity, and difference-in-differences models.
References
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Journal ArticleDOI

The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Book

Principles and Practice of Structural Equation Modeling

TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI

Alternative Ways of Assessing Model Fit

TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
Journal ArticleDOI

Comparative fit indexes in structural models

TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
Journal ArticleDOI

On the evaluation of structural equation models

TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.