What is she best known for?
The fields of study she is best known for:
- Statistics
- Social psychology
- Developmental psychology
Her primary areas of study are Structural equation modeling, Statistics, LISREL, Construct validity and Equivalence.
She integrates Structural equation modeling and Causal structure in her studies.
Barbara M. Byrne focuses mostly in the field of Statistics, narrowing it down to topics relating to Econometrics and, in certain cases, Computerized adaptive testing, Data analysis and Confirmatory factor analysis.
Her LISREL research includes themes of Specification and Measurement invariance.
Her work in Equivalence tackles topics such as Theoretical computer science which are related to areas like Social psychology.
Barbara M. Byrne combines subjects such as Structure and Growth curve with her study of Multilevel model.
Her most cited work include:
- Structural equation modeling with EQS : basic concepts, applications, and programming (11922 citations)
- Structural equation modeling with AMOS (3574 citations)
- Structural equation modeling with LISREL, PRELIS, and SIMPLIS : basic concepts, applications, and programming (2960 citations)
What are the main themes of her work throughout her whole career to date?
Barbara M. Byrne mostly deals with Developmental psychology, Social psychology, Self-concept, Construct validity and Structural equation modeling.
In her research on the topic of Developmental psychology, Beck Depression Inventory, Factorial and Psychological testing is strongly related with Test validity.
Her research investigates the connection with Social psychology and areas like Validity which intersect with concerns in Cognitive psychology.
In her study, Aptitude is inextricably linked to Academic achievement, which falls within the broad field of Self-concept.
Her Construct validity study is associated with Statistics.
Her study looks at the relationship between Structural equation modeling and topics such as Equivalence, which overlap with Measurement invariance and Analysis of covariance.
She most often published in these fields:
- Developmental psychology (24.62%)
- Social psychology (23.85%)
- Self-concept (21.54%)
What were the highlights of her more recent work (between 2010-2018)?
- Structural equation modeling (19.23%)
- Social psychology (23.85%)
- Pure mathematics (3.08%)
In recent papers she was focusing on the following fields of study:
Barbara M. Byrne mainly investigates Structural equation modeling, Social psychology, Pure mathematics, Invariant and Construct validity.
Barbara M. Byrne studied Structural equation modeling and Multilevel model that intersect with Econometrics.
Her Social psychology study incorporates themes from Test validity, Scale, Adaptation and Rating scale.
Among her Pure mathematics studies, there is a synthesis of other scientific areas such as Cultural group selection and Causal structure.
In her study, Artificial intelligence is strongly linked to Machine learning, which falls under the umbrella field of Construct validity.
The study incorporates disciplines such as Mathematics education and Equivalence in addition to Exemplification.
Between 2010 and 2018, her most popular works were:
- Structural Equation Modeling With Mplus: Basic Concepts, Applications, And Programming (1183 citations)
- Adaptation of Assessment Scales in Cross-National Research: Issues, Guidelines, and Caveats (32 citations)
- The maximum likelihood alignment approach to testing for approximate measurement invariance: a paradigmatic cross-cultural application (18 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Social psychology
- Cognition
Her scientific interests lie mostly in Structural equation modeling, Social psychology, Mathematics education, Equivalence and LISREL.
Her Multilevel model research extends to the thematically linked field of Structural equation modeling.
The concepts of her Social psychology study are interwoven with issues in Test validity and Rating scale.
Her Test validity research incorporates elements of Distress and Clinical psychology.
Her Mathematics education research integrates issues from Structure and Pure mathematics.
Her work carried out in the field of Equivalence brings together such families of science as Factorial, Econometrics and Cross-cultural studies.
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