Extrapolation of experimental results through analogical reasoning from latent classes

Gerdien G. van Eersel; Gabriela V. Koppenol-Gonzalez; Julian Reiss

doi:10.1086/701956

Extrapolation of experimental results through analogical reasoning from latent classes

Gerdien G. van Eersel^*
, Gabriela V. Koppenol-Gonzalez
, Julian Reiss

^*Corresponding author for this work

The University of Chicago

Research output: Contribution to journal › Article › Academic › peer-review

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. 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.

Original language	English
Pages (from-to)	219-235
Number of pages	17
Journal	Philosophy of Science
Volume	86
Issue number	2
DOIs	https://doi.org/10.1086/701956
Publication status	Published - 1 Apr 2019
Externally published	Yes

Funding

Received September 2017; revised July 2018. *To contact the authors, please write to: Gerdien G. van Eersel, Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, PO Box 1738, 3000 DR Rotterdam, The Netherlands; e-mail: [email protected]. †We acknowledge support by the Erasmus Open Access Fund of Erasmus University Rotterdam.

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Extrapolation of experimental results through analogical reasoning from latent classes

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