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Structural Equation Models2
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International Journal of…2
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Marco Vassallo1
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Imaginary Latent Variables: Empirical Testing for Detecting Deficiency in Reflective Measures
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Marco Vassallo – International Journal of Assessment Tools in Education, 2024
Imaginary latent variables are variables with negative variances and have been used to implement constraints in measurement models. This article aimed to advance this practice and rationalize the imaginary latent variables as a method to detect possible latent deficiencies in measurement models. This rationale is based on the theory of complex…
Descriptors: Structural Equation Models, Numbers, Mathematics, Mathematical Concepts
Exploring Number of Response Categories in Factor Analysis: Implications for Sample Size
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Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size