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Extrapolation of experimental results through analogical reasoning from latent classes

van Eersel, Gerdien and Koppenol-Gonzalez, Gabriela V. and Reiss, Julian (2018) Extrapolation of experimental results through analogical reasoning from latent classes. [Preprint]

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Abstract

In the human sciences, experimental research is used to establish causal relationships. However, the extrapolation of these results to the target population can be problematic. To facilitate extrapolation, we propose to use the statistical technique Latent Class Regression Analysis in combination with the analogical reasoning theory for extrapolation (Guala 2003, 2005). This statistical technique can identify latent classes that differ in the effect of X on Y. In order to extrapolate by means of analogical reasoning, one can characterize the latent classes by a combination of features, and then compare these features to features of the target.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
van Eersel, Gerdien
Koppenol-Gonzalez, Gabriela V.
Reiss, Julian
Keywords: extrapolation human sciences latent class causality
Subjects: General Issues > Causation
General Issues > Experimentation
Depositing User: Dr. Gerdien van Eersel
Date Deposited: 10 Sep 2018 19:35
Last Modified: 10 Sep 2018 19:35
Item ID: 15016
Subjects: General Issues > Causation
General Issues > Experimentation
Date: 9 September 2018
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/15016

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