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During the last twenty years, more than forty-five publications have sought to measure and evaluate the quality of plans using content analysis methods. We examine reasons for this growth in the literature and its contributions and limitations. We also examine whether the research methods described in these publications conform to recommended practices in the methodological literature on content analysis to determine whether plan quality researchers are likely to be generating reliable and reproducible plan quality data. We provide seven recommendations plan quality researchers can follow to address these weaknesses and improve the reliability and reproducibility of their data.
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Stored only when both papers are in the corpus — 218 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.