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Computing Robust, Bootstrap-Adjusted Fit Indices for Use With Nonnormal Data

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Measurement and Evaluation in Counseling and Development

Published online on

Abstract

Nonnormality of data presents unique challenges for researchers who wish to carry out structural equation modeling. The subsequent SPSS syntax program computes bootstrap-adjusted fit indices (comparative fit index, Tucker–Lewis index, incremental fit index, and root mean square error of approximation) that adjust for nonnormality, along with the Bollen–Stine bootstrap-adjusted 2 equivalent statistic and associated scaling factor.