Your English writing platform
Discover LudwigExact(8)
We used eight methods to reduce the items.
Similarly, we used content oriented quota sampling rather than data driven methods to reduce the items.
The small number of events also made it impossible to reduce the items by factor analysis.
Panel feedback was very positive about the comprehensiveness of the items; most said it was challenging to reduce the items as all were viewed as important.
Our second objective was to build on the results of this factor analysis, by using experts in a nominal group technique (NGT) to reduce the items pool and to decide on a new assessment tool with face and content validity.
Principal components analysis attempts to reduce the items (questions) into a number of smaller components and was undertaken here to determine whether the items loaded into the pattern that was hypothesised by the instrument developers.
Similar(52)
Item generation was followed by four stages of pre-testing to reduce the item pool.
These were then modified iteratively through expert consensus, following which item analysis was used to reduce the item pool.
Cross correlations between items, factor analysis, inspection for floor and ceiling effects and item distribution were used to reduce the item pool to the optimal set of items.
Pretest of theses scale reduced the items and final scale comprised of 5-items.
The authors followed a systematic, clinimetric method of generating and reducing the items.
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