ICPS
2021 APS Virtual Convention · 2021
Psychometric Models of Individual Differences in Reading Comprehension: A Re-Analysis of Freed, Hamilton, and Long (2017)
- Sara Goring
Tufts University - Christopher Schmank
Claremont Graduate University - Michael Kane
The University of North Carolina at Greensboro - Andrew Conway
Claremont Graduate University
Abstract
Reading comprehension data from Freed et al. (2017) were reanalyzed using latent variable modeling and psychometric network modeling. The analysis revealed problems with the measurement model reported by Freed et al. The network models corroborated the latent variable models and offered an alternative approach to modeling individual difference data.
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