Extrapolation of Experimental Results through Analogical Reasoning from Latent Classes.

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 wi...

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Published in:Philosophy of Science Vol. 86; no. 2; pp. 219 - 236
Main Authors: van Eersel, Gerdien G., Koppenol-Gonzalez, Gabriela V., Reiss, Julian
Format: Article
Published: Cambridge University Press Apr2019
Subjects:
Online Access:View this record in EBSCOhost
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          van Eersel, Gerdien G.
          Koppenol-Gonzalez, Gabriela V.
          Reiss, Julian
      su:
        Latent class analysis (Statistics)
        Extrapolation
        Meta-analysis
        Numerical analysis
        Regression analysis
      sug:
        subj:
          Latent class analysis (Statistics)
          Extrapolation
          Meta-analysis
          Numerical analysis
          Regression analysis
      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.
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    language: English
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