Applying structural equation modelling in educational research / La aplicación del modelo de ecuación estructural en las investigaciones educativas
Dados Bibliográficos
| ID | 12486552 |
|---|---|
| Autores | Jichuan Wang (0000-0001-8414-9432, George Washington University, autor correspondente), Amir Hefetz (0000-0002-5270-8954, Data Graph — Research and Statistical Consulting), Gabriel Liberman (Data Graph — Research and Statistical Consulting) |
| Ano | 2017 |
| Volume | 29 |
| Fascículo | 3 |
| Páginas | 563-618 |
| Data de publicação | 2017-07-03 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Culture and Education (JOURNAL) |
| Identificadores do periódico | ISSN: 1135-6405 • E-ISSN: 1578-4118 |
| Editora | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/11356405.2017.1367907 |
| OpenAlex | W2767546614 |
| Idioma | ES |
| Citações recebidas | 20 |
| Referências citadas | 47 |
Structural equation modelling (SEM) is a comprehensive and flexible statistical technique for testing complex relationships between variables, including both observed variables and latent variables (constructs or factors), with multiple pathways. In the past two decades, SEM has quickly pervaded in various research fields, such as psychology, sociology, education, economics, etc. This study provides a brief non-mathematical introduction to SEM for educational researchers who are interested in SEM but do not have advanced statistical backgrounds. This study presents the basic concepts of SEM, describes the steps of SEM implementation and discusses some issues that are often encountered in SEM applications. Examples of measurement model (confirmatory factor analysis, CFA) and general structural equation model are demonstrated, using real educational research data. Computer program Mplus was applied for modelling; the programming syntax and selected output for the example models are included
Confirmatory factor analysis · Latent variable · Machine learning · Statistical analysis · Statistics · Structural equation modeling · Syntax · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing · Statistical Methods and Applications · Artificial Intelligence
Problematic Media Use Measure
Multidimensional research on university engagement using a mixed method approach
The effects of teacher’s emotional intelligence on team-member exchange and job performance
Peer Effects in Education
The risk of sexual-erotic online behavior in adolescents – Which personality factors predict sexting and grooming victimization
Teachers’ professional development needs
Exploring mechanisms of peer-effects in education
The Relationship Among Spirituality, Self-Efficacy, Covid-19 Anxiety, and Hopelessness During the Covid-19 Process in Turkey
Determinants of Congregational Attendees’ Psychological Outcomes
Prediction model for the inclusion of key competences in the primary school curriculum through the teachers’ perceptions in the Region de Murcia / Modelo de predicción para la inclusión de las competencias en el currículo de educación primaria según la percepción del profesorado de la Región de Murcia
The factor analysis procedure for exploration
Palestinian kindergarten teachers in Israel and Arabic education policy
The Role of Organizational Factors in Nurses’ Perceived Preparedness to Screen, Intervene and Refer in Cases of Suspected Postpartum Depression
Social-Emotional Profile of Children with and without Learning Disabilities
Cross-Cultural Adaptation and Psychometric Evaluation of the Educational Content Validation Instrument in Health
The countenance of the value of patriotism among young and mature pre-service teachers during their apprenticeship at school
Advanced statistical modelling ideas, a challenge for research in culture and education / Ideas sobre modelos estadísticos avanzados
Youth and religion in an age of global citizenship identification
The mediating role of science intrinsic motivation
Psychometry of the Multidimensional Perceived Autonomy Support Scale in Physical Education With Spanish Secondary School Students
Introduction to Psychometric Theory
Factor Analysis
Structural Equation Modeling
Statistical Analysis With Missing Data
Model Modification
Behavioral scale reliability and measurement invariance evaluation using latent variable modeling
Understanding the limitations of global fit assessment in structural equation modeling
Beyond SEM
Bayesian structural equation modeling
Rosenberg's self‐esteem scale
Confirmatory factor analysis models of factorial invariance
Applications of Structural Equation Modeling in Psychological Research
A General Approach to Confirmatory Maximum Likelihood Factor Analysis
The Application of Exploratory Factor Analysis in Applied Psychology
Statistical Analysis of Sets of Congeneric Tests
When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
Cutoff criteria for fit indexes in covariance structure analysis
Application of Model-Selection Criteria to Some Problems in Multivariate Analysis
Testing Structural Equation Models
Structural Equations with Latent Variables
Unidimensional Versus Domain Representative Parceling of Questionnaire Items
Multiple Imputation for Nonresponse in Surveys
A Comparison of Bifactor and Second-Order Models of Quality of Life
Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes
Structural Equation Modeling with Lisrel
Sociological Methodology 1978
Children's action-control beliefs and emotional regulation in the social domain
Model modifications in covariance structure analysis
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Positive and negative global self-esteem
Principles and Practice of Structural Equation Modeling
Structural Equation Modeling with Lisrel
Alternative Ways of Assessing Model Fit
Bootstrapping Goodness-of-Fit Measures in Structural Equation Models
Tests for Structural Equation Models
| Obras citantes distintas | 20 |
|---|---|
| Citações por ano | 2,22 |
| Intervalo de citações | 2017 - 2026 (10) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 20 |