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A general multilevel SEM framework for assessing multilevel mediation.
Several methods for testing mediation hypotheses with 2-level nested data have been proposed by researchers using a multilevel modeling (MLM) paradigm. However, these MLM approaches do notExpand
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Reliability estimation in a multilevel confirmatory factor analysis framework.
Scales with varying degrees of measurement reliability are often used in the context of multistage sampling, where variance exists at multiple levels of analysis (e.g., individual and group). BecauseExpand
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Testing Multilevel Mediation Using Hierarchical Linear Models
Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recent years. However, potential confounding in multilevel mediation effect estimates canExpand
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Bayesian Estimation and Inference
This paper introduces the “Bayesian revolution” that is sweeping across multiple disciplines but has yet to gain a foothold in organizational research. The foundations of Bayesian estimation andExpand
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Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM
Multilevel modeling (MLM) is a popular way of assessing mediation effects with clustered data. Two important limitations of this approach have been identified in prior research and a theoreticalExpand
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Multilevel structural equation models for assessing moderation within and across levels of analysis.
Social scientists are increasingly interested in multilevel hypotheses, data, and statistical models as well as moderation or interactions among predictors. The result is a focus on hypotheses andExpand
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Taking a look behind the wheel: an investigation into the personality predictors of aggressive driving.
The present study evaluated a theoretical model of the relationships among six aspects of driver personality (i.e., driving anger and the Big Five personality factors), aggressive driving, and twoExpand
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When Mindsets Collide: Switching Analytical Mindsets to Advance Organization Science
Analytic techniques have associated mindsets that can determine the way scholars conceptualize their objects of study. I propose that switching these “analytical mindsets” can lead to new theoreticalExpand
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Service-Dominant Orientation: Measurement and Impact on Performance Outcomes
A firm's ability to offer better service and to co-create valuable customer experiences is critically important to achieving competitive advantage. Service-dominant (S-D) logic, along with resourceExpand
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Loneliness over time: The crucial role of social anxiety.
Loneliness is known to be associated with multiple adverse physical outcomes, including higher mortality and morbidity risk. However, the impact of loneliness on mental health is less wellExpand
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