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Raw scores from the questionnaires were transformed to scale scores using the software syntax for SF-36 [ 27].
Raw scores are transformed to scale scores ranging from 0 to 100, with higher scores indicating better levels of functioning.
Response categories vary from 2 to 6 and can be transformed to scale scores ranging from 0 ('the worst') to 100 ('the best') [ 74, 75].
These scores are summed and transformed to scale from 0 (limited a lot in performing all ten types of physical activities) to 100 (performs all ten types of physical activities without limitation).
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Raw dimension scores were transformed to scales ranging from 0 to 100, in which higher scores indicate higher HRQoL.
By Rasch analysis [ 31], the raw sum scores are transformed to scaled scores ranging from 0 to 100, where 100 is the best.
Raw scores are transformed to scaled scores (0 100) based on a Rasch model with higher scores indicating better levels of functioning.
The FertiQoL total and subscale scores were computed and transformed to scaled scores and summary statistics (e.g. reliability coefficient, mean and standard deviation) produced.
The scores on all sub-scales are transformed to a scale from 0 (the worst score) to 100 (best score) [ 16].
The scale scores range from 0 to 48 but, in order to integrate them into one scale they were transformed to a scale of 0 to 10.
Scale scores were transformed to a scale of 0-100, where 100 is the best possible rating.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com