Mediation Modeling: Differing Perspectives on Time Alter Mediation Inferences

Pascal R. Deboeck (), Kristopher J. Preacher () and David A. Cole ()
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Pascal R. Deboeck: University of Utah, Department of Psychology
Kristopher J. Preacher: Vanderbilt University, Department of Psychology and Human Development
David A. Cole: Vanderbilt University, Department of Psychology and Human Development

Chapter Chapter 8 in Continuous Time Modeling in the Behavioral and Related Sciences, 2018, pp 179-203 from Springer

Abstract: Abstract Time is unlike any other variable collected in the social, behavioral, and medical sciences. Research participants who are sampled, and variables that are measured, come in distinct, discrete units. Although time is often recorded in such discrete units (e.g., wave 1, grade 3, day 5), time is markedly different from either participants or variables. Sampling time points is unlike sampling people or variables, as there are an arbitrary number of additional samples that can be collected between any two occasions of measurement. These interstitial samples are ignored by many longitudinal modeling paradigms. These observations that occur between sampling occasions form the basis for the perspectives on mediation explored in this chapter. We focus on the difference in perspectives offered by discrete time approaches commonly utilized in mediation research versus models that conceptualize time as a continuous variable. The differences in how one conceptualizes time have the potential to alter such core mediation concepts as direct and indirect effect, complete and partial mediation, and even what constitutes a “mediation” model.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-77219-6_8

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DOI: 10.1007/978-3-319-77219-6_8

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