TY - JOUR
T1 - Extrapolation of experimental results through analogical reasoning from latent classes
AU - van Eersel, Gerdien G.
AU - Koppenol-Gonzalez, Gabriela V.
AU - Reiss, Julian
PY - 2019/4/1
Y1 - 2019/4/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063356127&partnerID=8YFLogxK
U2 - 10.1086/701956
DO - 10.1086/701956
M3 - Article
AN - SCOPUS:85063356127
SN - 0031-8248
VL - 86
SP - 219
EP - 235
JO - Philosophy of Science
JF - Philosophy of Science
IS - 2
ER -