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  • https://doi.org/10.1080/07481756.2017.1326748Copy DOI Icon

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

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Abstract

ABSTRACTNonnormality 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 χ2 equivalent statistic and associated scaling factor.

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