Handbook of Psychology 2003
DOI: 10.1002/0471264385.wei0224
|View full text |Cite
|
Sign up to set email alerts
|

Structural Equation Modeling

Abstract: In this chapter we will present a tutorial on the fundamentals of structural equation modeling (SEM). In recent years structural equation modeling (SEM) has grown enormously in popularity. Fundamentally, SEM is a term for a large set of techniques based on the general linear model. The goal of this chapter is to present an introduction to the field of structural equation modeling. The chapter begins with an overview of SEM that includes the purpose and goals of this statistical analysis as well as terminology … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

6
441
0
48

Year Published

2005
2005
2019
2019

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 520 publications
(495 citation statements)
references
References 88 publications
6
441
0
48
Order By: Relevance
“…CMIN is sensitive to sample size and therefore may not have sufficient power in small samples (54) . CMIN/df is thought to be less dependent on sample size, and values greater than 1 and below 2 are considered good fit (51,55,56) . NFI and CFI range from 0 to 1, with values closer to 1 representing very good fit.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…CMIN is sensitive to sample size and therefore may not have sufficient power in small samples (54) . CMIN/df is thought to be less dependent on sample size, and values greater than 1 and below 2 are considered good fit (51,55,56) . NFI and CFI range from 0 to 1, with values closer to 1 representing very good fit.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…However, because the chi-square statistic is oversensitive to sample size, alternative fit indexes like the R-CFI and R-RMSEA are generally used. An R-CFI of .90 or greater and R-RMSEA values of .08 or lower with the high end of the CI not exceeding 0.10 are considered an adequate fit, whereas an R-CFI in the mid .90s and R-RMSEA values of .05 or lower with the high end of the CI not exceeding .08 indicate a good fit (Kline, 2005;Raykov & Marcoulides, 2000;Ullman, 2001).…”
Section: Data Analytic Strategymentioning
confidence: 99%
“…Essa técnica é entendida por autores do campo (e.g. Klem, 2002;Thompson, 2002;Ullman, 2007) como uma mistura de análise fatorial e análise de regressão, que permite aos pesquisadores testar estruturas fatoriais de instrumentos de medida psicométrica, por meio Procedimentos de análise de dados são característicos na pesquisa em psicologia. A complexidade dos fenômenos estudados exige que os pesquisadores das diferentes áreas da psicologia desenvolvam ou apliquem técnicas multivariadas de análise de dados condizentes com os fenômenos estudados.…”
unclassified