| Name : R-recmetrics
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.3
| Date : 2024-06-14 11:55:47
|
| Group : Development/Libraries/Other
| Source RPM : R-recmetrics-0.1.0-lp153.1.3.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Psychometric Evaluation Using Relative Excess Correlations
|
Description :
Modern results of psychometric theory are implemented to provide users
with a way of evaluating the internal structure of a set of items
guided by theory. These methods are discussed in detail in VanderWeele
and Padgett (2024) < doi:10.31234/osf.io/rnbk5>. The relative excess
correlation matrices will, generally, have numerous negative entries
even if all of the raw correlations between each pair of indicators are
positive. The positive deviations of the relative excess correlation
matrix entries help identify clusters of indicators that are more
strongly related to one another, providing insights somewhat analogous
to factor analysis, but without the need for rotations or decisions
concerning the number of factors. A goal similar to
exploratory/confirmatory factor analysis, but \'recmetrics\' uses novel
methods that do not rely on assumptions of latent variables or latent
variable structures.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
