Related Experiment Video
Updated: Feb 3, 2026

A Quantitative Fitness Analysis Workflow
Published on: August 13, 2012
Fit indices for mean structures with growth curve models
Ke-Hai Yuan1, Zhiyong Zhang1, Lifang Deng2
1Department of Psychology.
Abstract:
Motivated by the need to effectively evaluate the quality of the mean structure in growth curve modeling (GCM), this article proposes to separately evaluate the goodness of fit of the mean structure from that of the covariance structure. Several fit indices are defined, and rationales are discussed. Particular considerations are given for polynomial and piecewise polynomial models because fit indices for them are valid regardless of the underlying population distribution of the data. Examples indicate that the newly defined fit indices remove the confounding issues with indices jointly evaluating mean and covariance structure models and provide much more reliable evaluation of the mean structure in GCM. Examples also show that pseudo R-squares and concordance correlations are unable to reflect the goodness of mean structures in GCM. Proper use of the fit indices for the purpose of model diagnostics is discussed. A window-based program, WebSEM, is also introduced for easily computing these fit indices by applied researchers. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
More Related Videos
11:19Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses
Published on: May 4, 2015
11:00Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
Published on: July 19, 2016
Related Concept Videos
Induced-fit Model
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
Indicators
Bacterial Growth Curve
Inclusive Fitness
Goodness-of-Fit Test
Accessory Structures of the Skin: Hair Growth and Types