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Published on: August 28, 2021
The measurement properties and factor structure of the Test of Visual-Perceptual Skills-Revised: implications for
G Ted Brown1, Isabelle Gaboury
1Occupational Therapy Program, School of Primary Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University-Peninsula Campus, PO Box 527, Frankston, Victoria 3199, Australia. ted.brown@med.monash.edu.au
Objectives:
The aim of this study was to examine the measurement properties of the Test of Visual-Perceptual Skills-Revised (TVPS-R).
Methods:
A group of 356 typically developing children 5-11 years of age completed the TVPS-R along with three criterion measures.
Results:
Several of the TVPS-R items had item-total subscale correlation coefficients were lower than the 0.20 correlation criteria. Cronbach's alpha coefficients varied between 0.74 and 0.84 for the seven subscales. The perceptual quotient (PQ) reliability coefficient for the age levels ranged between 0.79 and 0.91. The PQ total group reliability coefficient was 0.96. Results from the principal component analysis indicated that the majority of the TVPS-R items loaded on a dominant first factor. Confirmatory factor analytic models were assessed using four different goodness-of-fit indices. Two of the fit indices supported the unidimensional assumption (RMR and CFI ), while two of the fit indices did not support the TVPS-R one-factor model (chi-square and RMSEA). A unitary motor-free visual-perceptual factor was not found.
Conclusion:
The TVPS-R PQ should not be used as an overall performance summary score. Of the seven TVPS-R subscales, five can be used with confidence (visual discrimination, visual-spatial relationships, visual-sequential memory, visual figure ground, and visual-closure) whereas the visual memory and visual form constancy [corrected] subscales are not recommended.
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Scientific Measurement and Lab Skills
Some chemistry experiments take the form of directly changing one property of the system that you are studying otherwise known as the independent variable, like temperature, and measuring the effects on another property, otherwise known as the dependent variable, like volume. Once the data have been collected, the interaction between the two parameters must be quantified — or converted into a form that can be evaluated — and compared to other relationships.
Scientific Measurement and Lab Skills
