arXiv (All)
open access
An Integrated Framework for Assessing Interpretability in Exploratory Factor Analysis
Interpretability in Exploratory Factor Analysis is characterized by the fundamental trade-off between structural sparseness and explained common variance. Lacking formal evaluation metrics, researchers frequently sacrifice parsimony in the pattern matrix to maximize the model's explanatory coverage.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Correlation Thresholding Algorithm for Exploratory Factor Analysis#1141418
- One-step group factor analysis via penalized least squares#798265
- One-step group factor analysis via penalized least squares#796852
- A Scale Development on Teaching Special Program of the Arts: An Exploratory Factor Analysis#1390816
- The GRoNC: Guidelines for Reporting on Norm-Referenced and Criterion-Referenced Scores.#382395
Record · ID 1456493
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive