Computes item diagnostics to determine whether there exist several
potential psychometric issues that affect itemStability
.
These issues include local dependence (using UVA
),
minor dimensions (using cosine
on the stability patterns),
multidimensional items (using net.loads
), and
items with low loadings (using net.loads
)
Value
Returns a list containing:
- diagnostics
A data frame containing the diagnostics of low item stabilities (see
itemStability
)- boot
Output from
bootEGA
- uva
Output from
UVA
- minor
A list containing suggested items to
keep
,remove
, and a matrix for probable minor dimensions (minor.matrix
)- loadings
Output from
net.loads
- suggested
Variables that are suggested to be retained to increase item stability