How to Estimate Absolute-Error Components in Structural Equation Models of Generalizability Theory
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- Type
- article
- Published
- 2021-05-29
- Cited by
- 19
- References
- 70
- Access
- Open access
- OpenAlex
- https://openalex.org/W3168088551
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:236405774
Keywords
Generalizability theory, Estimator, Structural equation modeling, Dependability, Statistics
References
- Applying Generalizability Theory using EduG
- An introduction to categorical data analysis
- Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares
- lavaan: An R Package for Structural Equation Modeling
- Fitting Linear Mixed-Effects Models Using lme4
- Estimation of Generalizability Coefficients Via a Structural Equation Modeling Approach to Scale Reliability Evaluation
- A Non-arbitrary Method of Identifying and Scaling Latent Variables in SEM and MACS Models
- When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
- Generalizability in Item Response Modeling
- Maximizing the Usefulness of Data Obtained with Planned Missing Value Patterns: An Application of Maximum Likelihood Procedures.
- A Note on the Relation Between Factor Analytic and Item Response Theory Models
- Planned missing data designs in psychological research.
- Estimating Variance Components in Generalizability Theory: The Covariance Structure Analysis Approach. Teacher's Corner.
- THEORY OF GENERALIZABILITY: A LIBERALIZATION OF RELIABILITY THEORY†
- Understanding Robust Corrections in Structural Equation Modeling
- On The Robustness Of Factor Analysis Against Crude Classification Of The Observations.
- Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha
- The Information in Multiple Ratings
- On Examining the Underlying Normal Variable Assumption in Latent Variable Models With Categorical Indicators
- A Tri-Factor Model for Integrating Ratings Across Multiple Informants
Cited by
- Editorial of the Psych Special Issue “Computational Aspects, Statistical Algorithms and Software in Psychometrics”
- Integrating Bifactor Models into a Generalizability Theory Based Structural Equation Modeling Framework
- Using Structural Equation Modeling to Reproduce and Extend ANOVA-Based Generalizability Theory Analyses for Psychological Assessments
- Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale
- Extending Applications of Generalizability Theory-Based Bifactor Model Designs
- Analyzing Multivariate Generalizability Theory Designs within Structural Equation Modeling Frameworks
- Applying multivariate generalizability theory to psychological assessments.
- Analyzing and Comparing Univariate, Multivariate, and Bifactor Generalizability Theory Designs for Hierarchically Structured Personality Traits
- Analyzing Complete Generalizability Theory Designs Using Structural Equation Models
- A Robust Indicator Mean-Based Method for Estimating Generalizability Theory Absolute Error and Related Dependability Indices within Structural Equation Modeling Frameworks
- Reducing Attenuation Bias in Regression Analyses Involving Rating Scale Data via Psychometric Modeling
- Nutrient contents and microbial communities as mediators of the effects of land-use in ecosystem functioning in alpine ecosystems from Central Mexico
- Interrater Reliability for Interdependent Social Network Data: A Generalizability Theory Approach
- Structural Equation Modeling Approaches to Estimating Score Dependability Within Generalizability Theory-Based Univariate, Multivariate, and Bifactor Designs
- How to Estimate Intraclass Correlation Coefficients for Interrater Reliability from Planned Incomplete Data
- Estimating Item Wording Effects in Self-Report Measures with Generalizability Theory-Based SEMs: Illustrations Using the Self-Description Questionnaire-III
- Death anxiety scale (DAS): internal structure and factorial invariance in Peruvian adults
- Interrater Reliability Comparisons with Generalizability Theory and Structural Equation Modeling
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