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  • The family of statistical techniques that make up structural equation modeling (SEM) offers many potential advantages in education research, including studies about gifted students. These techniques are highly versatile and permit the evaluation of a wide range of hypotheses, including those about direct or indirect effects, measurement, or mean differences on either observed or latent variables. They have also become quite popular among researchers. Indeed, it is increasingly difficult to look through an issue of an education research journal and not find at least one article in which results of SEM analyses are reported. In gifted research, SEM has been used less often, but there are more and more such studies in this area, too. However, there are some potential pitfalls of using SEM in gifted research that are inherent to the study of a special population, including range restriction, regression effects, and the need for large samples. Accordingly, the goals of this chapter are to (a) review the general characteristics of SEM with special consideration of possible advantages in educational research and (b) consider specific potential pitfalls of using SEM in gifted research. Outlined next are important issues in basically all applications of SEM. Later sections deal with problems specific to the use of SEM in education research in general and in gifted research in particular. (PsycInfo Database Record (c) 2024 APA, all rights reserved) (Source: chapter)

Última actualización de la base de datos: 4/10/26, 6:08 (CEST)

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