BOOTSTRAP FIT TESTING, CONFIDENCE INTERVALS, AND STANDARD ERROR ESTIMATION IN THE FACTOR ANALYSIS OF POLYCHORIC CORRELATION MATRICES

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概要

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• Ordinary least squares estimation is considered for fitting a factor analysis model to polychoric correlation matrices. A parametric bootstrap procedure is proposed for obtaining test statistics, standard error estimates, and confidence intervals associated with the OLS estimates. The adequacy of the proposed procedure is demonstrated using a simulation study.

• 日本行動計量学会の論文

著者

• Zhang Guangjian

  Psychology Department The Ohio State University

• Browne Michael

  Psychology Department, The Ohio State University

関連論文

• BOOTSTRAP FIT TESTING, CONFIDENCE INTERVALS, AND STANDARD ERROR ESTIMATION IN THE FACTOR ANALYSIS OF POLYCHORIC CORRELATION MATRICES

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