Here - Tilburg University

Presenter
Kuiper, Rebecca M.; Dept. Methodology & Statistics, Utrecht University
Authors
R. M. Kuiper and H. Hoijtink
Title
Combining Statistical Evidence from Several Studies
Abstract
The effect of an independent variable on a dependent variable is often
evaluated with hypothesis testing. Sometimes, multiple studies are available
that test the same hypothesis.
In such studies the dependent variable and the main predictors might differ,
while they do measure the same theoretical concepts.
In this presentation, I demonstrate a Bayesian method that can be used
to quantify the joint evidence in multiple studies regarding the effect of one
variable of interest. The method proposed here quantifies evidence for the
hypothesis at hand using Bayesian model selection. By way of example, the
method is applied to four studies from economic sociology and social dilemma
research on how trust in social and economic exchange depends on learning
effects through dyadic embeddedness, i.e., experience from previous exchange
with the same partner. Subsequently, simulation shows that our method has
good frequency properties.