Abstract

A method is presented that eliminates some interpretational limitations arising from assumptions implicit in the use of arbitrary rules of thumb to interpret exploratory factor analytic results. The bootstrap method is presented as a way of approximating sampling distributions of estimated factor loadings. Simulated datasets illustrate the approach. (SLD)

Citation

Lambert, Z.V. (1991). Approximating Confidence Intervals for Factor Loadings. Multivariate Behavioral Research, 26(3), 421. Retrieved August 7, 2024 from https://www.learntechlib.org/p/145588/.

This record was imported from ERIC on March 21, 2014. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

• Behavioral Science Research
• Computer Simulation
• Estimation (Mathematics)
• Factor Structure
• mathematical models
• Research Methodology
• Sampling
• Statistical Distributions