Related Experiment Video
Updated: Mar 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
Invariant Standardized Estimated Parameter Change for Model Modification in Covariance Structure Analysis
Abstract:
An estimated parameter change (EPC) has recently been introduced as another criterion to be considered in the process of model modification in covariance structure analysis. Kaplan (1989) provided a standardized version of this statistic (SEPC-K). It has been found that SEPC-K is only partially standardized; specifically, it is not invariant under different scalings of latent and measured variables. In this article, a new SEPC that is invariant to the original metrics of the measured and latent variables is suggested for use in model modification. A multivariate estimated parameter change (MEPC) which estimates changes for a set of fixed parameters to be freed simultaneously is also introduced. A standardized MEPC (SMEPC) is, furthermore, provided. Because there are now three different types of standardized solutions in structural modeling programs, general discussion of standardized solution in covariance structure analysis is provided. The inappropriate use of standardization for scale-specific models is noted.
More Related Videos
04:35Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
Related Concept Videos
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Variation
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...