AI RESEARCH

Psychological Constructs in Shared Semantic Space

arXiv CS.CL

ArXi:2605.26801v1 Announce Type: new Psychological constructs are often measured in separate instruments, datasets, and research traditions, which makes direct comparison difficult. This paper proposes a framework for making such constructs semantically commensurate by representing and comparing them as directions in a shared word-embedding space. Using Supervised Semantic Differential, we estimate construct-specific semantic gradients from text-outcome associations and project them onto theoretically motivated reference axes.