BP
Borysław Paulewicz
@boryslaw.bsky.social
Intro to causal inference for psychologists:
czasopisma.uwm.edu.pl/index.php/pp/article/view/9731/7171
A new family of ordinal regression models
and
a causal-theoretic definition of measurement invariance:
osf.io/preprints/psyarxiv/e7a3x
103 followers81 following138 posts
If you didn't know, now you know: In general causal graphs, X>Y by default means "X may or may not cause Y," which means "I don't know" (in classical logic), but in *acyclic* graphs an arrow is a *stronger* assumption than an absence of an edge: if X>Y then not Y>X but not Y>X says nothing about X>Y
BP
Borysław Paulewicz
@boryslaw.bsky.social
Intro to causal inference for psychologists:
czasopisma.uwm.edu.pl/index.php/pp/article/view/9731/7171
A new family of ordinal regression models
and
a causal-theoretic definition of measurement invariance:
osf.io/preprints/psyarxiv/e7a3x
103 followers81 following138 posts