Studying levels of severity for the Computer-Vision Symptom Scale (CVSS 17)
The Computer-Vision Symptom Scale (CVSS17) was developed by the group to provide a measure to determine computer-related visual and ocular symptoms (CRVOS) among Video Display Terminal (VDT) workers. The CVSS17 was developed and validated using Classical Test Theory (TCT) and Item Response Theory (IRT) working with the Partial Credit Model (PCM) that is a special case of Generalized Linear Models.
Because CVSS17 is a new instrument, it is necessary to provide information on it to interpret their results, like its levels of severity and main factors. Therefore, with the PCM we estimate the CVSS17 measures (in logits) and standard error corresponding to every possible raw score and we used these data to compute the number statistically different levels of performance present in the CVSS17 score range. In addition, we used Discriminant Analysis to verify if the two CVSS17 main factors were able to classify subjects among the previously defined levels of performance.
Palabras clave / Keywords: Classical Test Theory (TCT) Item Response Theory (IRT) Partial Credit Model (PCM)
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