The alternative is a High-Dimensional / Embedding-Like Approach where question responses aren't tied to fixed axes, but rather the full response set is treated as a point in latent space.
Then it's on the researcher to examine the clusters and assign labels. There's also not a nice mapping that's a-priori interpretable in low-dimensional pre-existing axes.
Probably only used in research than consumer websites, under more controlled conditions; there are very few public political tests doing this transparently
Then it's on the researcher to examine the clusters and assign labels. There's also not a nice mapping that's a-priori interpretable in low-dimensional pre-existing axes.
Probably only used in research than consumer websites, under more controlled conditions; there are very few public political tests doing this transparently