Testing strong factorial invariance using three-level structural equation modeling

Testing strong factorial invariance using three-level structural equation modeling

Within structural equation modeling, the most prevalent model to investigate measurement bias is the multigroup model. Equal factor loadings and intercepts across groups in a multigroup model represent strong factorial invariance (absence of measurement bias) across groups. Although this approach is possible in principle, it is hardly practical when the number of groups is large or when the gro...

Testing Multinormality in Two-level Structural Equation Models

Invariance and Factorial Models

Two factors having the same set of levels are said to be homologous. This paper aims to extend the domain of factorial models to designs that include homologous factors. In doing so, it is necessary rst to identify the characteristic property of those vector spaces that constitute the standard factorial models. We argue here that essentially every interesting statistical model speciied by a vec...

Structural Equation Modeling using AMOS: An Introduction

Section 1: Introduction .................................................................................................................... 2 1.1 About this Document/Prerequisites ....................................................................................... 2 1.2 Accessing AMOS ..............................................................................................................

Moment testing for interaction terms in structural equation modeling

Starting with Kenny and Judd (1984) several methods have been introduced for analyzing models with interaction terms. In all these methods more information from the data than just means and covariances is required. In this paper we also use more than just firstand second-order moments, however we are aiming to adding just a selection of the third-order moments. The key issue in this paper is to...