Description Usage Arguments Details Value Note Author(s) References See Also Examples
In case a construct loads negatively on the first principal
component, the function alignByLoadings
will reverse it
so that all constructs have positive loadings on the first
principal component (see deatil section for more).
1  alignByLoadings(x, trim = 20, index = TRUE)

x 

trim 
The number of characters a construct is trimmed to (default is

index 
Whether to print the number of the construct (e.g. for correltion
matrices). The default is 
The direction of the constructs in a grid is arbitrary and a reflection of a scale does not affect the information contained in the grid. Nonetheless, the direction of a scale has an effect on interelement correlations (Mackay, 1992) and on the spatial representation and clustering of the grid (Bell, 2010). Hence, it is desirable to follow a protocol to align constructs that will render unique results. A common approach is to align constructs by pole preference, but this information is not always accessible. Bell (2010) proposed another solution for the problem of construct alignment. As a unique protocol he suggests to align constructs in a way so they all have positive loadings on the first component of a grid PCA.
An object of class alignByLoadings
containing a list
of calculations with the following entries:
cor.before 
Construct correlation matrix before reversal 
loadings.before 
Loadings on PCs before reversal 
reversed 
Constructs that have been reversed 
cor.after 
Construct correlation matrix after reversal 
loadings.after 
Loadings on PCs after reversal 
Bell (2010) proposed a solution for the problem of construct alignment. As construct reversal has an effect on element correlation and thus on any measure that based on element correlation (Mackay, 1992), it is desireable to have a standard method for construct alignment independently from its semantics (preferred pole etc.). Bell (2010) proposes to align constructs in a way so they all have positive loadings on the first component of a grid PCA.
Mark Heckmann
Bell, R. C. (2010). A note on aligning constructs. Personal Construct Theory & Practice, 7, 4248.
Mackay, N. (1992). Identification, Reflection, and Correlation: Problems in ihe bases of repertory grid measures. International Journal of Personal Construct Psychology, 5(1), 5775.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  # reproduction of the example in the Bell (2010)
# constructs aligned by loadings on PC 1
bell2010
alignByLoadings(bell2010)
# save results
a < alignByLoadings(bell2010)
# modify printing of resukts
print(a, digits=5)
# access results for further processing
names(a)
a$cor.before
a$loadings.before
a$reversed
a$cor.after
a$loadings.after

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