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Classification of Scale Items with Exploratory Graph Analysis and Machine Learning Methods
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Koyuncu, Ilhan; Kilic, Abdullah Faruk – International Journal of Assessment Tools in Education, 2021
In exploratory factor analysis, although the researchers decide which items belong to which factors by considering statistical results, the decisions taken sometimes can be subjective in case of having items with similar factor loadings and complex factor structures. The aim of this study was to examine the validity of classifying items into…
Descriptors: Classification, Graphs, Factor Analysis, Decision Making
A Comparison of Automated Scale Short Form Selection Strategies
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Raborn, Anthony W.; Leite, Walter L.; Marcoulides, Katerina M. – International Educational Data Mining Society, 2019
Short forms of psychometric scales have been commonly used in educational and psychological research to reduce the burden of test administration. However, it is challenging to select items for a short form that preserve the validity and reliability of the scores of the original scale. This paper presents and evaluates multiple automated methods…
Descriptors: Psychometrics, Measures (Individuals), Mathematics, Heuristics
Evaluation of Two Types of Differential Item Functioning in Factor Mixture Models with Binary Outcomes
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Lee, HwaYoung; Beretvas, S. Natasha – Educational and Psychological Measurement, 2014
Conventional differential item functioning (DIF) detection methods (e.g., the Mantel-Haenszel test) can be used to detect DIF only across observed groups, such as gender or ethnicity. However, research has found that DIF is not typically fully explained by an observed variable. True sources of DIF may include unobserved, latent variables, such as…
Descriptors: Item Analysis, Factor Structure, Bayesian Statistics, Goodness of Fit
The Impact of Misspecified Item Parceling on Representing Latent Variables in Covariance Structure Modeling: A Simulation Study
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Kim, Sooyeon; Hagtvet, Knut A. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
This study focused on misspecifications in composing parcels to represent a latent construct. Two measurement design factors, item reliability and intercorrelations among parcels, defined 12 true unidimensional parcel models. Deviations from the true model were examined via a 2-facet measurement model in which items and parcels represented the 2…
Descriptors: Simulation, Factor Structure, Measurement Techniques, Goodness of Fit
A Comparison of Methods for Determining Dimensionality in Rasch Measurement.
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Smith, Richard M. – Structural Equation Modeling, 1996
The Rasch item fit approach for detecting multidimensionality in response data is compared with principal component analysis without rotation using simulated data. Results indicate that both approaches work in a variety of multidimensional data structures, but the Rasch item fit is better under some circumstances, as discussed. (SLD)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Goodness of Fit
The Concepts Underlying Structure Coefficients, Communality, and Factor Scores in the Exploratory Factor Analytic Case.
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McMurray, Mary Anne – 1987
This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…
Descriptors: Correlation, Factor Analysis, Factor Structure, Goodness of Fit