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Lower level mediation in multilevel models.

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TLDR
A model in which there is mediation at the lower level and the mediational links vary randomly across upper level units is discussed, and an ad hoc method that is illustrated with real and simulated data is developed.
Abstract
Multilevel models are increasingly used to estimate models for hierarchical and repeated measures data. The authors discuss a model in which there is mediation at the lower level and the mediational links vary randomly across upper level units. One repeated measures example is a case in which a person's daily stressors affect his or her coping efforts, which affect his or her mood, and both links vary randomly across persons. Where there is mediation at the lower level and the mediational links vary randomly across upper level units, the formulas for the indirect effect and its standard error must be modified to include the covariance between the random effects. Because no standard method can estimate such a model, the authors developed an ad hoc method that is illustrated with real and simulated data. Limitations of this method and characteristics of an ideal method are discussed.

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Citations
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Journal ArticleDOI

Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

TL;DR: In this paper, the authors focus on communication processes and understand how messages have an effect on some outcome of focus in a focus-based focus-oriented focus-set problem, which is the goal of most communication researchers.
Journal ArticleDOI

A General Multilevel SEM Framework for Assessing Multilevel Mediation

TL;DR: This work presents an integrative 2-level MSEM mathematical framework that subsumes new and existing multilevel mediation approaches as special cases and uses several applied examples to illustrate the flexibility of this framework.
Journal ArticleDOI

Bias in cross-sectional analyses of longitudinal mediation.

TL;DR: It is demonstrated that cross-sectional approaches to mediation typically generate substantially biased estimates of longitudinal parameters even under the ideal conditions when mediation is complete.
Journal ArticleDOI

Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations.

TL;DR: New procedures for evaluating direct, indirect, and total effects in multilevel models when all relevant variables are measured at Level 1 and all effects are random are proposed.
Journal ArticleDOI

Psychological resilience, positive emotions, and successful adaptation to stress in later life.

TL;DR: Findings indicated that over time, the experience of positive emotions functions to assist high-resilient individuals in their ability to recover effectively from daily stress.
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

Hierarchical Linear Models: Applications and Data Analysis Methods

TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
Journal ArticleDOI

Hierarchical Linear Models: Applications and Data Analysis Methods.

TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
Book

Handbook of social psychology

TL;DR: In this paper, Neuberg and Heine discuss the notion of belonging, acceptance, belonging, and belonging in the social world, and discuss the relationship between friendship, membership, status, power, and subordination.
Journal ArticleDOI

Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models

TL;DR: For comments on an earlier draft of this chapter and for detailed advice I am indebted to Robert M. Hauser, Halliman H. Winsborough, Toni Richards, several anonymous reviewers, and the editor of this volume as discussed by the authors.
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