Publication Date
In 2025 | 4 |
Since 2024 | 18 |
Since 2021 (last 5 years) | 26 |
Since 2016 (last 10 years) | 26 |
Since 2006 (last 20 years) | 99 |
Descriptor
Source
Structural Equation Modeling:… | 110 |
Author
Raykov, Tenko | 10 |
Savalei, Victoria | 5 |
Bentler, Peter M. | 4 |
Enders, Craig K. | 3 |
Hamaker, Ellen L. | 3 |
Lee, Sik-Yum | 3 |
Leite, Walter L. | 3 |
Marcoulides, George A. | 3 |
Song, Xin-Yuan | 3 |
Beauducel, Andre | 2 |
Chunhua Cao | 2 |
More ▼ |
Publication Type
Journal Articles | 110 |
Reports - Research | 57 |
Reports - Descriptive | 30 |
Reports - Evaluative | 23 |
Education Level
Elementary Education | 2 |
Grade 1 | 2 |
Grade 3 | 2 |
Grade 5 | 2 |
Grade 7 | 2 |
Higher Education | 2 |
Junior High Schools | 2 |
Postsecondary Education | 2 |
Secondary Education | 2 |
Early Childhood Education | 1 |
Grade 10 | 1 |
More ▼ |
Audience
Teachers | 1 |
Location
Netherlands | 2 |
Singapore | 1 |
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Eysenck Personality Inventory | 2 |
National Longitudinal Study… | 2 |
National Longitudinal Survey… | 2 |
Early Childhood Longitudinal… | 1 |
Peabody Individual… | 1 |
Rosenberg Self Esteem Scale | 1 |
Wechsler Intelligence Scale… | 1 |
What Works Clearinghouse Rating
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2005
A bias-corrected estimator of noncentrality parameters of covariance structure models is discussed. The approach represents an application of the bootstrap methodology for purposes of bias correction, and utilizes the relation between average of resample conventional noncentrality parameter estimates and their sample counterpart. The…
Descriptors: Computation, Goodness of Fit, Test Bias, Statistical Analysis
Loken, Eric – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The choice of constraints used to identify a simple factor model can affect the shape of the likelihood. Specifically, under some nonzero constraints, standard errors may be inestimable even at the maximum likelihood estimate (MLE). For a broader class of nonzero constraints, symmetric normal approximations to the modal region may not be…
Descriptors: Inferences, Computation, Structural Equation Models, Factor Analysis
Lei, Ming; Lomax, Richard G. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This simulation study investigated the robustness of structural equation modeling to different degrees of nonnormality under 2 estimation methods, generalized least squares and maximum likelihood, and 4 sample sizes, 100, 250, 500, and 1,000. Each of the slight and severe nonnormality degrees was comprised of pure skewness, pure kurtosis, and both…
Descriptors: Structural Equation Models, Simulation, Sample Size, Least Squares Statistics
Savalei, Victoria; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This article proposes a new approach to the statistical analysis of pairwisepresent covariance structure data. The estimator is based on maximizing the complete data likelihood function, and the associated test statistic and standard errors are corrected for misspecification using Satorra-Bentler corrections. A Monte Carlo study was conducted to…
Descriptors: Evaluation Methods, Maximum Likelihood Statistics, Statistical Analysis, Monte Carlo Methods
Gold, Michael S.; Bentler, Peter M.; Kim, Kevin H. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
This article describes a Monte Carlo study of 2 methods for treating incomplete nonnormal data. Skewed, kurtotic data sets conforming to a single structured model, but varying in sample size, percentage of data missing, and missing-data mechanism, were produced. An asymptotically distribution-free available-case (ADFAC) method and structured-model…
Descriptors: Monte Carlo Methods, Computation, Sample Size, Comparative Analysis