Noncentrality-Based Indices of Fit

Besides the Chi-square value and its probability level, SEPATH prints a number of indices of fit. which can be used to interpret how well a model fits the data. The indices printed here are all single model indices, i.e., values which can be computed from a single model tested on one data set.

General Theoretical Orientation

Noncentrality-Based Parameter Estimates and Confidence Intervals

Steiger-Lind RMSEA Index

Population Gamma Index

Adjusted Population Gamma Index

McDonald's Index of Noncentrality

Extensions to Multiple Group Analysis