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

Authors :: Walker, David A.
Smith, Thomas J.
Source :: Measurement & Evaluation in Counseling & Development. Jan2017, Vol. 50 Issue 1/2, p131-137. 7p.
Publication Year :: 2017
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 X2 equivalent statistic and associated scaling factor. [ABSTRACT FROM AUTHOR]