2019
DOI: 10.1086/701956
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Extrapolation of Experimental Results through Analogical Reasoning from Latent Classes

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 cha… Show more

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Cited by 11 publications
(17 citation statements)
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“…Secondly, mechanisms' absence of regularity should not be overlooked (Howick et al, 2010(Howick et al, , 2013bvan Eersel et al, 2019). Similar mechanisms may be present in the study and the target populations, but not behave in a similar way.…”
Section: Mechanisms Extrapolation and Context-variancementioning
confidence: 90%
See 2 more Smart Citations
“…Secondly, mechanisms' absence of regularity should not be overlooked (Howick et al, 2010(Howick et al, , 2013bvan Eersel et al, 2019). Similar mechanisms may be present in the study and the target populations, but not behave in a similar way.…”
Section: Mechanisms Extrapolation and Context-variancementioning
confidence: 90%
“…Suppose that we have good evidence that a particular intervention I 1 brings about O 1 through M 1 in S. Then, a causal relationship between I 1 and O 1 has been ascertained in S. Nonetheless, for a reasonable mechanism-based extrapolation, it would also be required that a mechanism similar to M 1 in the relevant aspects is present in T. Steel (2008) has suggested a particular procedure ("comparative process tracing") to compare mechanisms operating in both populations and to discern their similarity. Given our limited knowledge about the mechanisms at work, it has been argued that comparative process tracing is usually unfeasible (Reiss, 2010;Howick et al, 2013b;van Eersel et al, 2019). We will not discuss Steel's proposal here (see section 3).…”
Section: Mechanisms Extrapolation and Context-variancementioning
confidence: 99%
See 1 more Smart Citation
“…Among the various approaches to extrapolation that have been proposed and discussed (e.g., Cartwright 2012, 2013a, 2013b; Cartwright and Hardie 2012; Guala 2010; Muller 2013, 2014, 2015; Steel 2009, 2010; van Eersel, Koppenol-Gonzalez, and Reiss 2019), statistical and causal graph-based approaches stand out because they offer resources to overcome a wide variety of problems of extrapolation. Specifically, unlike other approaches, they offer formal recipes for how to adjust an effect estimated in one population to accommodate differences between populations.…”
Section: Two Approaches To Extrapolationmentioning
confidence: 99%
“…Statistical approaches have been proposed in the microeconometrics literature (Crump et al 2008; Hotz, Imbens, and Mortimer 2005; see Khosrowi 2019; Muller 2013, 2014, 2015 for discussions) and other proposals have since followed their general rationale (van Eersel, Koppenol-Gonzalez, and Reiss 2019). In enabling extrapolation even when populations differ relevantly, statistical approaches focus on differences in the distribution of modifying variables.…”
Section: Two Approaches To Extrapolationmentioning
confidence: 99%