No CrossRef data available.
Published online by Cambridge University Press: 05 February 2024
This commentary analyzes the extent to which the incommensurability problem can be resolved through the proposed alternative method of integrative experiment design. We suggest that, although one aspect of incommensurability is successfully addressed (dimensional incommensurability), the proposed design space method does not yet alleviate another major source of discontinuity, which we call conceptual incommensurability.
Target article
Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences
Related commentaries (31)
Against naïve induction from experimental data
Are language–cognition interactions bigger than a breadbox? Integrative modeling and design space thinking temper simplistic questions about causally dense phenomena
Assume a can opener
Beyond integrative experiment design: Systematic experimentation guided by causal discovery AI
Commensurability engineering is first and foremost a theoretical exercise
Confidence in research findings depends on theory
Consensus meetings will outperform integrative experiments
Dimensional versus conceptual incommensurability in the social and behavioral sciences
Discovering the unknown unknowns of research cartography with high-throughput natural description
Diversity of contributions is not efficient but is essential for science
Don't let perfect be the enemy of better: In defense of unparameterized megastudies
Eliminativist induction cannot be a solution to psychology's crisis
Experiment commensurability does not necessitate research consolidation
Explore your experimental designs and theories before you exploit them!
Getting lost in an infinite design space is no solution
Individual differences do matter
Integrative design for thought-experiments
Integrative experiments require a shared theoretical and methodological basis
Is generalization decay a fundamental law of psychology?
Measurement validity and the integrative approach
Neuroadaptive Bayesian optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond
Phenomena complexity, disciplinary consensus, and experimental versus correlational research in psychological science
Representative design: A realistic alternative to (systematic) integrative design
Sampling complex social and behavioral phenomena
Some problems with zooming out as scientific reform
Test many theories in many ways
The elephant's other legs: What some sciences actually do
The future of experimental design: Integrative, but is the sample diverse enough?
The miss of the framework
The social sciences needs more than integrative experimental designs: We need better theories
There are no shortcuts to theory
Author response
Replies to commentaries on beyond playing 20 questions with nature