Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
Item reduction by factor analysis showed that 21 of the question items have strong factor loadings.
Similar(59)
The perceived usefulness of the information was measured by seven items; factor analysis showed that these items constituted one scale with high reliability (α = .87).87
A factor analysis showed similar determinants.
Factor analysis showed that anomalies of element concentrations in most cases can be explained by local mineralogical conditions.
Confirmatory factor analysis showed that a single-factor model comprised of five domain scores was the best fit.
Factor analysis showed a one-factor structure.
Factor analysis showed a single underlying dimension.
Factor analysis showed one factor: 'Level of activities and participation'.
The scaling of these 12 items was also supported by a varimax-rotated factor analysis, showing that all item loadings ranged from.62 .82 on predicted primary factors, and below.32 on secondary factors.
This was confirmed by the results of the factor analysis, showing that the intensity component and the muscle strength component loaded on a single factor.
Factor analysis shows that quality of care is determined by four clusters of items: Support, Communication, General Information and Organisation.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com