Causal modeling in communication research: Use, disuse, and misuse

Abstract

The logic and procedures of causal modeling can help researchers avoid errors arising in more traditional analyses in a number of commonly occurring cases. A table of cases requiring causal modeling, or an equivalent technique, is presented. Nine years of published research in communication journals are reviewed to assess the adequacy of analysis in these situations. Standards for the conduct and reporting of causal modeling are also offered along with a review of their use in published causal modeling. These reviews indicate a number of areas demanding increased methodological rigor and sophistication in communication research.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 29 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.