A Semi-Hierarchical Confirmatory Factor Model for Speeded Data

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 the latent variables are modified to reflect characteristics of these subsets. Furthermore, the results of a simulation study comparing the semi-hierarchical model adapted to speeded data and the customary confirmatory factor model are reported. Whereas all the models yielded good model fit according to RMSEA and SRMR, differences between the models were signified by CFI and TLI. The semi-hierarchical model led to the better model fit in data showing noticeable speededness

Confirmatory factor analysis · Data mining · Factor analysis · Hierarchical database model · Latent variable · Machine learning · Multilevel model · Structural equation modeling · Computer Science · Customer Service Quality and Loyalty · Multi-Criteria Decision Making · Sensory Analysis and Statistical Methods · Artificial Intelligence

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  Incluir item

• Statistical Theories of Mental Test Scores

  Frederic M Lord, Melvin R Novick•Statistical Theories of Mental…•2008

  Incluir item

• Generalized Linear Models

  Open Access•Paul McCullagh, P McCullagh et al.•Generalized Linear Models•1983

  Incluir item

• Assessing Fit in Structural Equation Models

  Alberto Maydeu-Olivares, Alberto Maydeu‐olivare et al.•Structural Equation Modeling: A…•2018

  Incluir item

• Latent Variable Modeling of Differences and Changes with Longitudinal Data

  John J Mcardle•Annual Review of Psychology•2009

  Incluir item

• Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance

  Gordon W Cheung, Roger B Rensvold•Structural Equation Modeling: A…•2002

  Incluir item

• Missing Data Analysis

  John W Graham, J A Graham•Annual Review of Psychology•2009

  Incluir item

• Cutoff criteria for fit indexes in covariance structure analysis

  Li‐tze Hu, Peter M Bentler•Structural Equation Modeling: A…•1999

  Incluir item

• Hierarchical linear models

  Anthony S Bryk, Stephen W Raudenbush•Hierarchical linear models•2002

  Incluir item

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  Incluir item

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

  Incluir item

• A Confirmatory Analysis of Item Reliability Trends (Cairt)

  Johannes Hartig, Britta Hölzel et al.•Multivariate Behavioral Research•2007

  Incluir item