AUTHOR=Tang Bohao , Levine Michael , Adamek Jack H. , Wodka Ericka L. , Caffo Brian S. , Ewen Joshua B. TITLE=Evaluating causal psychological models: A study of language theories of autism using a large sample JOURNAL=Frontiers in Psychology VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1060525 DOI=10.3389/fpsyg.2023.1060525 ISSN=1664-1078 ABSTRACT=
We used a large convenience sample (
To accomplish the above empiric goals, we used a highly theory-constrained approach, one which differs from current data-driven modeling trends but is coherent with a very recent resurgence in theory-driven psychology. In addition to careful explication and formalization of theoretical accounts, we propose three principles for future work of this type: specification, quantification, and integration. Specification refers to constraining models with pre-existing data, from both outside and within autism research, with more elaborate models and more veridical measures, and with longitudinal data collection. Quantification refers to using continuous measures of both psychological causes and effects, as well as weighted graphs. This approach avoids “universality and uniqueness” tests that hold that a single cognitive difference could be responsible for a heterogeneous and complex behavioral phenotype. Integration of multiple explanatory paths within a single model helps the field examine for multiple contributors to a single behavioral feature or to multiple behavioral features. It also allows integration of explanatory theories across multiple current-day diagnoses and as well as typical development.