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iarm (version 0.2.0)

Item Analysis in Rasch Models

Description

Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).

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Version

Install

install.packages('iarm')

Monthly Downloads

345

Version

0.2.0

License

GPL-2

Maintainer

Marianne Mueller

Last Published

May 3rd, 2019

Functions in iarm (0.2.0)

boot_fit

Computes Bootstrapping P Values for Outfit and Infit Statistics
print.outfit

Print Method for the Output of out_infit
person_estimates

Person Estimates with MLE and WLE
print.bootfit

Print Method for the Output of boot_fit
test_prop

Properties of the Test
score_groups

Generate two Score Groups
partgam_DIF

Partial Gamma to detect Differential Item Functioning (DIF)
partgam_LD

Partial Gamma to detect Local Dependence (LD)
item_target

Computation of Item Targets for Polytomous Models
item_restscore

Item Restscore Association
out_infit

Item Outfit and Infit Statistics
item_obsexp

Observed and Expected Item Mean Scores
partgam

Conditional and Partial Gamma Coefficients
clr_tests

Conditional Likelihood Ratio Tests (CLR)
iarm-package

iarm: A package for item analysis in Rasch models
amts

Abbreviated Mental Test Score (AMTS)
desc2

Depression Screening DESC-II