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7) Retrieval performance was better for non-spatial than spatial on Day 1 – is this because of the rotation of items?
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A factor analysis (principal component extraction with varimax rotation) of specific items revealed three factors (Eigenvalues > 1.7) explaining 75.6% of the total variance; namely Side effects (4 items, 28.4%, Cronbach's Alpha =.87), Effectiveness (3 items, 24.1%, Cronbach's Alpha =.85), and Convenience (3 items, 23.1%, Cronbach's Alpha =.87).
Fixed orientation is a state in which there is no possible rotation of the items.
Costco, in particular, is known for its "treasure hunt" strategy of tempting customers with a constant rotation of nonessential items around every corner.
After rotation and deletion of items with high uniqueness, we found that Factor 4 did not contain any items.
For the remaining items, factor analyses with principal components analysis and varimax or oblique rotation per block of items, were performed to extract factors for each theoretical concept.
Factor analyses (extraction of main components with eigenvalues > 1) were repeated rotating different numbers of items (Varimax rotation with Kaiser Normalization) in order to arrive at the solution which demonstrates both the most simple and the most coherent structure.
A principal component analysis with varimax rotation of these eight items yielded a scree plot with a two-factor solution of six items.
A PC Factor analysis (w/ varimax rotation) of the 31 items yielded 5 factors (Eigenvalues > 1.0) explaining 70% of the total variance.
Factor analysis with varimax rotation of the KDQOL-SF™ items revealed that the 36 general health items encompassed the eight factors/sub-scales proposed by the developers of the instrument.
Factor analysis with varimax rotation indicated that the majority of items fell into 2 factors that represent pain and disability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com