Item Selection and Exhaustive Search for Rasch Models
adds information criteria to the @IC slot of an object of class passed...
options for test_itemfit()
S3 logLik for Object of class "pers"
itemfit statistics for 'psychotools' Anderson's likelihood ratio test ...
Martin-Loef test for psychotools
builds a raschtree using the raschtree or rstree function of the psych...
checks the itemfit indices of a rasch model using the itemfit() functi...
parameter estimation for for rasch models.
summary function for class passed_exRa
checks if all possible raw scores occur in the data.
selects item combinations based on defined rules
selects item combinations based on defined rules
options for item parameter estimation
(main function) Runs exhaustive tests
returns a matrix with dims like resp matrix with expected scores and m...
returns a matrix with dims like resp matrix with expected scores and m...
no test will be conducted, but rasch models (RM, PCM, RSM - depending ...
conducts and controls the parallelisation of the tests, Intentionally,...
class passed_exRa, an S4 class representing an a result of the exhaust...
itemfit statistics for psychotools
pvx matrix
this is an internal function for expscore()
internal pvx.super function"
removes subsets or supersets of item combinations
S3 residuals for Object of class "pers"
runs Anderson's likelihood ration test using the LRtest() function of ...
runs Martin-Loef Test using the MLoef() function of eRm.
checks the relationship between the person parameter distribution and ...
runs a principal component analysis (PCA) on the residuals of the rasc...
runs a principal component analysis (PCA) on the residuals of the rasc...
runs a Wald test using the Waldtest() function of eRm.
checks for disordered thresholds in rasch models
Fischer and Scheiblechner's "wald-like" S-statistic for psychotools
Automation of the item selection processes for Rasch scales by means of exhaustive search for suitable Rasch models (dichotomous, partial credit, rating-scale) in a list of item-combinations. The item-combinations to test can be either all possible combinations or item-combinations can be defined by several rules (forced inclusion of specific items, exclusion of combinations, minimum/maximum items of a subset of items). Tests for model fit and item fit include ordering of the thresholds, item fit-indices, likelihood ratio test, Martin-Löf test, Wald-like test, person-item distribution, person separation index, principal components of Rasch residuals, empirical representation of all raw scores or Rasch trees for detecting differential item functioning. The tests, their ordering and their parameters can be defined by the user. For parameter estimation and model tests, functions of the packages 'eRm', 'psychotools' or 'pairwise' can be used.
Useful links