A Model Hierarchy for Psychological Science

David Kellen

doi:10.1007/s42113-019-00037-y

A Model Hierarchy for Psychological Science

David Kellen

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

31 Scopus citations

Abstract

Lee et al. (2019) provided a comprehensive list of recommendations for modelers that aims at improving the robustness of their results. Drawing from the literature on philosophy of science, the present commentary argues for a broader view of modeling that considers the different roles that they play in our scientific practices. Following Suppes (1966), I propose a model hierarchy and discuss the distinct issues that arise at each of its levels. The benefit of a hierarchy of this kind is that it can aid researchers in better understanding the different challenges that they face.

Original language	English (US)
Pages (from-to)	160-165
Number of pages	6
Journal	Computational Brain and Behavior
Volume	2
Issue number	3-4
DOIs	https://doi.org/10.1007/s42113-019-00037-y
State	Published - Dec 2019

Keywords

Cognitive modeling
Model comparison
Robustness

ASJC Scopus subject areas

Developmental and Educational Psychology
Neuropsychology and Physiological Psychology

Access to Document

10.1007/s42113-019-00037-y

Cite this

@article{99b2fb913f6a404e89e652d94cb3c093,

title = "A Model Hierarchy for Psychological Science",

abstract = "Lee et al. (2019) provided a comprehensive list of recommendations for modelers that aims at improving the robustness of their results. Drawing from the literature on philosophy of science, the present commentary argues for a broader view of modeling that considers the different roles that they play in our scientific practices. Following Suppes (1966), I propose a model hierarchy and discuss the distinct issues that arise at each of its levels. The benefit of a hierarchy of this kind is that it can aid researchers in better understanding the different challenges that they face.",

keywords = "Cognitive modeling, Model comparison, Robustness",

author = "David Kellen",

note = "Publisher Copyright: {\textcopyright} 2019, Society for Mathematical Psychology.",

year = "2019",

month = dec,

doi = "10.1007/s42113-019-00037-y",

language = "English (US)",

volume = "2",

pages = "160--165",

journal = "Computational Brain and Behavior",

issn = "2522-087X",

publisher = "Springer Nature",

number = "3-4",

}

TY - JOUR

T1 - A Model Hierarchy for Psychological Science

AU - Kellen, David

PY - 2019/12

Y1 - 2019/12

N2 - Lee et al. (2019) provided a comprehensive list of recommendations for modelers that aims at improving the robustness of their results. Drawing from the literature on philosophy of science, the present commentary argues for a broader view of modeling that considers the different roles that they play in our scientific practices. Following Suppes (1966), I propose a model hierarchy and discuss the distinct issues that arise at each of its levels. The benefit of a hierarchy of this kind is that it can aid researchers in better understanding the different challenges that they face.

AB - Lee et al. (2019) provided a comprehensive list of recommendations for modelers that aims at improving the robustness of their results. Drawing from the literature on philosophy of science, the present commentary argues for a broader view of modeling that considers the different roles that they play in our scientific practices. Following Suppes (1966), I propose a model hierarchy and discuss the distinct issues that arise at each of its levels. The benefit of a hierarchy of this kind is that it can aid researchers in better understanding the different challenges that they face.

KW - Cognitive modeling

KW - Model comparison

KW - Robustness

UR - http://www.scopus.com/inward/record.url?scp=85078460701&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85078460701&partnerID=8YFLogxK

U2 - 10.1007/s42113-019-00037-y

DO - 10.1007/s42113-019-00037-y

M3 - Article

AN - SCOPUS:85078460701

SN - 2522-087X

VL - 2

SP - 160

EP - 165

JO - Computational Brain and Behavior

JF - Computational Brain and Behavior

IS - 3-4

ER -

A Model Hierarchy for Psychological Science

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this