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Exploratory factor analysis is a complex and multivariate statistical technique commonly employed in information system, social science, education and psychology. This paper intends to provide a simplified collection of information for researchers and practitioners undertaking exploratory factor analysis (EFA) and to make decisions about best practice in EFA. Particularly, the objective of the paper is to provide practical and theoretical information on decision making of sample size, extraction, number of factors to retain and rotational methods.
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Stored only when both papers are in the corpus — 394 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.