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Dorothea Krampen

Datos Biográficos

ID9252865
NOMBREDorothea Krampen
NOMBRESDorothea
APELLIDOKrampen
FIRMAKRAMPEN D
AFILIACIONESGoethe University Frankfurt
ORCID0000-0002-5725-0065
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2017
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Conceptualizing Correlated Residuals as Item-Level Method Effects in Confirmatory Factor Analysis

    Open Access•Karl Schweizer, Andreas Gold et al.•ARTICLE•Educational and Psychological…•2024

    Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was investigated with respect to model identification. It turned out that a suitable way of realizing the m…

  • Lern- und Verhaltensschwierigkeiten in der Schule

    Marcus Hasselhorn, Andreas Gold et al.•BOOK•Lern- und Verhaltensschwierigkeiten…•2023

    SchülerInnen mit Lernschwierigkeiten zeigen häufig auch Probleme im Verhalten - und umgekehrt. Für SchülerIinnen und Lehrkräfte sind solche gleichzeitig auftretende Phänomene eine große Herausforderung, die mit Fragen zur gezielten Unterstützung dieser Zielgruppe einhergeht. Das Buch fokussiert das Phänomen gleichzeitig auftretender Lern- und Verhaltensschwierigkeiten in der Schule mit dem Ziel, Grundlagen- und Handlungswissen zu dem Thema zu ver…

  • On Modeling Missing Data in Structural Investigations Based on Tetrachoric Correlations With Free and Fixed Factor Loadings

    Open Access•Karl Schweizer, Andreas Gold et al.•ARTICLE•Educational and Psychological…•2023

    In modeling missing data, the missing data latent variable of the confirmatory factor model accounts for systematic variation associated with missing data so that replacement of what is missing is not required. This study aimed at extending the modeling missing data approach to tetrachoric correlations as input and at exploring the consequences of switching between models with free and fixed factor loadings. In a simulation study, confirmatory fa…

  • A Semi-Hierarchical Confirmatory Factor Model for Speeded Data

    Karl Schweizer, Andreas Gold et al.•ARTICLE•Structural Equation Modeling: A…•2020

    This paper presents the semi-hierarchical model for confirmatory factor analysis of speeded data. The semi-hierarchical model is achieved by integrating information from the second level of the hierarchical structure of speeded data into the customary confirmatory factor model. The second level of speeded data originates from subsets of participants responding on the basis of different sources. In the semi-hierarchical model, the contributions of…

  • Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study

    Open Access•Florian Zeller, Dorothea Krampen et al.•ARTICLE•Educational and Psychological…•2017

    The item-position effect describes how an item’s position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine whether adapted representations are more appropriate than the existing ones. Models of confirmatory factor…

Sin obras prominentes en esta página.

  • Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study

    Open Access•Florian Zeller, Dorothea Krampen et al.•ARTICLE•Educational and Psychological…•2017

    The item-position effect describes how an item’s position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine whether adapted representations are more appropriate than the existing ones. Models of confirmatory factor…

  • A Semi-Hierarchical Confirmatory Factor Model for Speeded Data

    Karl Schweizer, Andreas Gold et al.•ARTICLE•Structural Equation Modeling: A…•2020

    This paper presents the semi-hierarchical model for confirmatory factor analysis of speeded data. The semi-hierarchical model is achieved by integrating information from the second level of the hierarchical structure of speeded data into the customary confirmatory factor model. The second level of speeded data originates from subsets of participants responding on the basis of different sources. In the semi-hierarchical model, the contributions of…

  • Lern- und Verhaltensschwierigkeiten in der Schule

    Marcus Hasselhorn, Andreas Gold et al.•BOOK•Lern- und Verhaltensschwierigkeiten…•2023

    SchülerInnen mit Lernschwierigkeiten zeigen häufig auch Probleme im Verhalten - und umgekehrt. Für SchülerIinnen und Lehrkräfte sind solche gleichzeitig auftretende Phänomene eine große Herausforderung, die mit Fragen zur gezielten Unterstützung dieser Zielgruppe einhergeht. Das Buch fokussiert das Phänomen gleichzeitig auftretender Lern- und Verhaltensschwierigkeiten in der Schule mit dem Ziel, Grundlagen- und Handlungswissen zu dem Thema zu ver…

  • On Modeling Missing Data in Structural Investigations Based on Tetrachoric Correlations With Free and Fixed Factor Loadings

    Open Access•Karl Schweizer, Andreas Gold et al.•ARTICLE•Educational and Psychological…•2023

    In modeling missing data, the missing data latent variable of the confirmatory factor model accounts for systematic variation associated with missing data so that replacement of what is missing is not required. This study aimed at extending the modeling missing data approach to tetrachoric correlations as input and at exploring the consequences of switching between models with free and fixed factor loadings. In a simulation study, confirmatory fa…

  • Conceptualizing Correlated Residuals as Item-Level Method Effects in Confirmatory Factor Analysis

    Open Access•Karl Schweizer, Andreas Gold et al.•ARTICLE•Educational and Psychological…•2024

    Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was investigated with respect to model identification. It turned out that a suitable way of realizing the m…

Confirmatory factor analysis (4 obras) · Structural equation modeling (4 obras) · Advanced Statistical Modeling Techniques (3 obras) · Econometrics (3 obras) · Factor analysis (3 obras) · Mathematics (3 obras) · Psychometric Methodologies and Testing (3 obras) · Statistics (3 obras) · Artificial Intelligence (2 obras) · Computer Science (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae