Structural equation model (SEM) trees, a combination of SEMs and decision trees, have
been proposed as a data-analytic tool for theory-guided exploration of empirical data. With …

In the behavioral and social sciences, structural equation models (SEMs) have become
widely accepted as a modeling tool for the relation between latent and observed variables …

Structural equation model (SEM) trees are data-driven tools for finding variables that predict
group differences in SEM parameters. SEM trees build upon the decision tree paradigm by …

Abstract Model selection in structural equation modeling (SEM) involves using selection
criteria to declare one model superior and treating it as a best working hypothesis until a …

The purpose of this chapter is to present an accessible overview of recent research on what
are termed structural equation models (SEM). This presentation is intended for graduate …

The primary goal of this thesis is to present novel methodologies for the exploratory analysis
of psychological data sets that support researchers in informed theory development …

This chapter focuses on a family of statistical methods and strategies collectively referred to
as structural equation modeling (SEM), of which path analysis is a special case. The first …

This paper provides an introduction to basic issues concerning structural equation modeling
(SEM), a research methodology increasingly being used in social science research. First …

One of the strengths of structural equation model ing (SEM) is the ability to test models that
represent a complex set of theoretical hypotheses. The set of hypothesized relationships is …

Data mining of treatment study results can reveal unforeseen but critical insights, such as
who receives the most benefit from treatment and under what circumstances. The usefulness …