Bias in Cross-Sectional Analyses of Longitudinal Mediation: Partial and Complete Mediation Under an Autoregressive Model
نویسندگان
چکیده
منابع مشابه
Bias in cross-sectional analyses of longitudinal mediation.
Most empirical tests of mediation utilize cross-sectional data despite the fact that mediation consists of causal processes that unfold over time. The authors considered the possibility that longitudinal mediation might occur under either of two different models of change: (a) an autoregressive model or (b) a random effects model. For both models, the authors demonstrated that cross-sectional a...
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COGNITIVE MEDIATION OF RAPE’S MENTAL HEALTH IMPACT: Constructive Replication of a Cross-Sectional Model in Longitudinal Data
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Mediation models are used to describe the mechanism(s) by which one variable influences another. These models can be useful in developmental research to explicate the relationship between variables, developmental processes, or combinations of variables and processes. In this article we describe aspects of mediation effects specific to developmental research. We focus on three central issues in ...
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BACKGROUND Mediation is an important issue considered in the behavioral, medical, and social sciences. It addresses situations where the effect of a predictor variable X on an outcome variable Y is explained to some extent by an intervening, mediator variable M. Methods for addressing mediation have been available for some time. While these methods continue to undergo refinement, the relationsh...
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ژورنال
عنوان ژورنال: Multivariate Behavioral Research
سال: 2011
ISSN: 0027-3171,1532-7906
DOI: 10.1080/00273171.2011.606716