TY - JOUR
T1 - Anatomy of a Psychological Theory
T2 - Integrating Construct-Validation and Computational-Modeling Methods to Advance Theorizing
AU - Grahek, Ivan
AU - Schaller, Mark
AU - Tackett, Jennifer L.
N1 - Publisher Copyright:
© The Author(s) 2021.
PY - 2021/7
Y1 - 2021/7
N2 - Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology—what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.
AB - Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology—what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.
KW - computational modeling
KW - construct validation
KW - theory
UR - http://www.scopus.com/inward/record.url?scp=85098888048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098888048&partnerID=8YFLogxK
U2 - 10.1177/1745691620966794
DO - 10.1177/1745691620966794
M3 - Article
C2 - 33404380
AN - SCOPUS:85098888048
SN - 1745-6916
VL - 16
SP - 803
EP - 815
JO - Perspectives on Psychological Science
JF - Perspectives on Psychological Science
IS - 4
ER -