Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 10 |
Descriptor
Statistical Analysis | 11 |
Statistical Inference | 11 |
Structural Equation Models | 11 |
Sampling | 5 |
Computation | 4 |
Monte Carlo Methods | 3 |
Causal Models | 2 |
Comparative Analysis | 2 |
Goodness of Fit | 2 |
Mediation Theory | 2 |
Statistical Bias | 2 |
More ▼ |
Source
Author
Bai, Haiyan | 1 |
Bauer, Daniel J. | 1 |
Bentler, Peter M. | 1 |
Bodla, Mahmood A. | 1 |
Cai, Li | 1 |
Chandralekha Singh | 1 |
Devlieger, Ines | 1 |
Fan, Xitao | 1 |
Imai, Kosuke | 1 |
Jenkins, Lyndsay N. | 1 |
Keele, Luke | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 5 |
Reports - Descriptive | 3 |
Reports - Evaluative | 3 |
Education Level
Elementary Education | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Pakistan | 1 |
Laws, Policies, & Programs
Aid to Families with… | 1 |
Assessments and Surveys
Behavior Assessment System… | 1 |
Program for International… | 1 |
What Works Clearinghouse Rating
Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…
Descriptors: Structural Equation Models, Statistical Analysis, Educational Research, Causal Models
Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
Devlieger, Ines; Talloen, Wouter; Rosseel, Yves – Educational and Psychological Measurement, 2019
Factor score regression (FSR) is a popular alternative for structural equation modeling. Naively applying FSR induces bias for the estimators of the regression coefficients. Croon proposed a method to correct for this bias. Next to estimating effects without bias, interest often lies in inference of regression coefficients or in the fit of the…
Descriptors: Regression (Statistics), Computation, Goodness of Fit, Statistical Inference
Bai, Haiyan; Sivo, Stephen A.; Pan, Wei; Fan, Xitao – International Journal of Research & Method in Education, 2016
Among the commonly used resampling methods of dealing with small-sample problems, the bootstrap enjoys the widest applications because it often outperforms its counterparts. However, the bootstrap still has limitations when its operations are contemplated. Therefore, the purpose of this study is to examine an alternative, new resampling method…
Descriptors: Sampling, Structural Equation Models, Statistical Inference, Comparative Analysis
Bodla, Mahmood A.; Naeem, Basharat – Creativity Research Journal, 2014
Substantial theoretical and empirical literature indicates inconsistent performance implications of intrinsic motivation, suggesting the possibility of some explanatory mechanisms. However, little is known about the factors that might explain intrinsic motivation and sales force performance relation, particularly in highly competitive and…
Descriptors: Motivation, Creativity, Mediation Theory, Sales Occupations
Lee, Taehun; Cai, Li – Journal of Educational and Behavioral Statistics, 2012
Model-based multiple imputation has become an indispensable method in the educational and behavioral sciences. Mean and covariance structure models are often fitted to multiply imputed data sets. However, the presence of multiple random imputations complicates model fit testing, which is an important aspect of mean and covariance structure…
Descriptors: Statistical Inference, Structural Equation Models, Goodness of Fit, Statistical Analysis
Macho, Siegfried; Ledermann, Thomas – Psychological Methods, 2011
The phantom model approach for estimating, testing, and comparing specific effects within structural equation models (SEMs) is presented. The rationale underlying this novel method consists in representing the specific effect to be assessed as a total effect within a separate latent variable model, the phantom model that is added to the main…
Descriptors: Structural Equation Models, Computation, Comparative Analysis, Sampling
Pek, Jolynn; Losardo, Diane; Bauer, Daniel J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Compared to parametric models, nonparametric and semiparametric approaches to modeling nonlinearity between latent variables have the advantage of recovering global relationships of unknown functional form. Bauer (2005) proposed an indirect application of finite mixtures of structural equation models where latent components are estimated in the…
Descriptors: Structural Equation Models, Sampling, Statistical Inference, Computation
Imai, Kosuke; Keele, Luke; Tingley, Dustin – Psychological Methods, 2010
Traditionally in the social sciences, causal mediation analysis has been formulated, understood, and implemented within the framework of linear structural equation models. We argue and demonstrate that this is problematic for 3 reasons: the lack of a general definition of causal mediation effects independent of a particular statistical model, the…
Descriptors: Structural Equation Models, Statistical Analysis, Statistical Inference, Intervention
Rueger, Sandra Yu; Jenkins, Lyndsay N. – School Psychology Quarterly, 2014
The purpose of the current study is to investigate the effects of frequency of peer victimization experiences on psychological and academic adjustment during early adolescence, with a focus on testing psychological adjustment as a mediator, as well as differences based on gender and type of victimization. The sample in this short-term longitudinal…
Descriptors: Bullying, Peer Relationship, Victims, Incidence
Yuan, Ke-Hai; Bentler, Peter M. – Psychometrika, 2004
Since data in social and behavioral sciences are often hierarchically organized, special statistical procedures for covariance structure models have been developed to reflect such hierarchical structures. Most of these developments are based on a multivariate normality distribution assumption, which may not be realistic for practical data. It is…
Descriptors: Statistical Analysis, Statistical Inference, Statistical Distributions, Multivariate Analysis