What is he best known for?
The fields of study he is best known for:
- Statistics
- Machine learning
- Law
George A. Marcoulides mainly focuses on Structural equation modeling, Econometrics, Applied mathematics, Mathematics education and Multivariate analysis.
His work on LISREL as part of general Structural equation modeling research is frequently linked to Cutoff, bridging the gap between disciplines.
His Econometrics study combines topics from a wide range of disciplines, such as Confirmatory factor analysis and Statistics, Latent growth modeling, Path analysis, Generalizability theory.
His studies deal with areas such as Data envelopment analysis, Partial least squares regression, Categorical variable and Growth curve as well as Generalizability theory.
His research integrates issues of Pedagogy and Affect in his study of Mathematics education.
George A. Marcoulides works mostly in the field of Multivariate analysis, limiting it down to concerns involving Multivariate statistics and, occasionally, Principal component analysis, Multivariate analysis of variance and Canonical correlation.
His most cited work include:
- Modern methods for business research (1207 citations)
- A First Course in Structural Equation Modeling (872 citations)
- Advanced structural equation modeling : issues and techniques (828 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Econometrics, Statistics, Structural equation modeling, Latent variable model and Generalizability theory.
George A. Marcoulides has included themes like Latent variable, Missing data, Multivariate analysis, Item response theory and Multilevel model in his Econometrics study.
The Confidence interval, Reliability, Principal component analysis and Covariance research he does as part of his general Statistics study is frequently linked to other disciplines of science, such as Variable, therefore creating a link between diverse domains of science.
His study focuses on the intersection of Structural equation modeling and fields such as Psychometrics with connections in the field of Cross-cultural studies.
George A. Marcoulides studied Latent variable model and Interval estimation that intersect with Cronbach's alpha and Computation.
The Generalizability theory study combines topics in areas such as Pedagogy and Resource allocation.
He most often published in these fields:
- Econometrics (25.13%)
- Statistics (24.62%)
- Structural equation modeling (22.61%)
What were the highlights of his more recent work (between 2012-2020)?
- Latent variable model (20.60%)
- Econometrics (25.13%)
- Statistics (24.62%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Latent variable model, Econometrics, Statistics, Interval estimation and Structural equation modeling.
The study incorporates disciplines such as Multiple comparisons problem, Statistical hypothesis testing, Multilevel model and Measurement invariance in addition to Latent variable model.
His research in Econometrics intersects with topics in Latent variable, Data mining, Missing data and Item response theory, Differential item functioning.
In the subject of general Statistics, his work in Reliability, Confidence interval, Principal component analysis and Criterion validity is often linked to Observational error, thereby combining diverse domains of study.
His Interval estimation research is multidisciplinary, relying on both Measure, Cronbach's alpha and Computation.
As part of one scientific family, George A. Marcoulides deals mainly with the area of Structural equation modeling, narrowing it down to issues related to the Saturated model, and often System identification, Relevance and Path analysis.
Between 2012 and 2020, his most popular works were:
- Assessing Structural Equation Models by Equivalence Testing With Adjusted Fit Indexes (69 citations)
- Longitudinal Pathways From Math Intrinsic Motivation and Achievement to Math Course Accomplishments and Educational Attainment (37 citations)
- Thanks Coefficient Alpha, We Still Need You!. (36 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Machine learning
- Law
George A. Marcoulides mostly deals with Statistics, Latent variable model, Econometrics, Interval estimation and Developmental psychology.
George A. Marcoulides combines subjects such as Structural equation modeling, Statistical hypothesis testing and Multiple comparisons problem with his study of Latent variable model.
His Structural equation modeling research integrates issues from Equivalence testing, Null hypothesis and Measurement invariance.
He connects Econometrics with Statistical analysis in his research.
His Interval estimation research includes themes of Cronbach's alpha, Computation and Applied mathematics.
His work in the fields of Latent growth modeling overlaps with other areas such as Typically developing and Intellectual disability.
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