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This article is addressed mainly to applied workers, and is devoted to giving as complete a picture as possible of the techniques and assumptions involved when correlations are estimated from biserial data. The exposition is nontechnical in the sense that mathematical proofs are omitted and numerous examples are given. The related theoretical material is contained mainly in two recent articles by the author [11, 12].
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Stored only when both papers are in the corpus — 67 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.