Building Models in Two Worlds: From Latent Constructs to Behavioral Signals
Towards Data Science
The author reflects on the shift from academic PhD research, which models latent psychological constructs to explain human behavior, to industry work that predicts actual behavioral outcomes. Despite using similar statistical methods, the context and goals differ significantly, highlighting the practical divide between theoretical and applied modeling.
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