Package: DFIT 1.2

DFIT: Differential Functioning of Items and Tests

A set of functions to perform Raju, van der Linden and Fleer's (1995, <doi:10.1177/014662169501900405>) Differential Functioning of Items and Tests (DFIT) analyses. It includes functions to use the Monte Carlo Item Parameter Replication approach (Oshima, Raju, & Nanda, 2006, <doi:10.1111/j.1745-3984.2006.00001.x>) for obtaining the associated statistical significance tests cut-off points. They may also be used for a priori and post-hoc power calculations (Cervantes, 2017, <doi:10.18637/jss.v076.i05>).

Authors:Victor H. Cervantes <[email protected]>

DFIT_1.2.tar.gz
DFIT_1.2.zip(r-4.7-any)DFIT_1.2.zip(r-4.6-any)DFIT_1.2.zip(r-4.5-any)
DFIT_1.2.tgz(r-4.6-any)DFIT_1.2.tgz(r-4.5-any)
DFIT_1.2.tar.gz(r-4.7-any)DFIT_1.2.tar.gz(r-4.6-any)
DFIT_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DFIT/json (API)

# Install 'DFIT' in R:
install.packages('DFIT', repos = c('https://herulor.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/herulor/dfit/issues

Datasets:

On CRAN:

Conda:

2.46 score 29 scripts 346 downloads 21 exports 88 dependencies

Last updated from:ea8ddaae0b. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING173
source / vignettesOK221
linux-release-x86_64WARNING228
macos-release-arm64WARNING234
macos-oldrel-arm64WARNING186
windows-develWARNING169
windows-releaseWARNING210
windows-oldrelWARNING191
wasm-releaseOK127

Exports:AseIrtBound3PlIprBound4PlIprCdifCutoffIprDeltaMhIrtDtfExtractMirtParsIprIprMGIprMGNcdifIprMhIprNcdifIprSamIprUamIrtMhMGNcdifNcdifPlotNcdifSignedAreaUnsignedArea

Dependencies:audiobeeprbriocallrclassclicliprclustercodetoolscpp11crayondcurverDerivdescdiffobjdigestdplyre1071evaluateexpmfarverfsfuturefuture.applygenericsggplot2globalsglueGPArotationgridExtragtableisobandjsonlitelabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmiraimirtmsmmvtnormnanonextnlmeotelparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxprogressrproxypsqs2R.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppParallelrlangrprojrootS7scalessessioninfoSimDesignsimexsplines2stringfishsurvivaltestthattibbletidyselectutf8vctrsveganviridisLitewaldowithr

Readme and manuals

Help Manual

Help pageTopics
Calculates the asymptotic variance for difficulty parameter estimates under the 1pl modelAse1pl
Calculates the asymptotic covariance matrix of item parameter estimates under the 2pl modelAse2pl
Calculates the asymptotic covariance matrix of item parameter estimates under the 3pl modelAse3pl
Calculates the asymptotic covariance matrices for item parameters according with the IRT model.AseIrt
Takes item parameters from Ipr and forces guessing to lie between 0 and 1Bound3PlIpr
Takes item parameters from Ipr and forces guessing to lie between 0 and 1Bound4PlIpr
Calculates the item success probability under the 1PL model.Calculate1plProb
Calculates the item success probability under the 2PL model.Calculate2plProb
Calculates the item success probability under the 3PL model.Calculate3plProb
Calculates the item success probability under the 4PL model.Calculate4plProb
Calculates the expected item score under the GRM model.CalculateGrmExp
Calculates the differences between two item option characteristic curves for all options (minus one).CalculateItemDifferences
Calculates the expected item score under the (G)PCM model.CalculatePcmExp
Calculates CDIF index for an item with given item parameters of focal and reference groups.Cdif
Identifies items with nonpositive discriminationCheckDiscriminations
Identifies items with guessing outside [0, 1]CheckGuessings
Identifies items with upper asymptote outside [0, 1]CheckUpper
Calculates the crossed probabilities associated with the numerator and denominator of the odds-ratio under dichotomous IRT modelsCrossedProbabilities
Cut-off points for Ipr generated estimatesCutoffIpr
Obtains the ETS Delta measure for Mantel-Haneszel DIF statistic effect size.DeltaMhIrt
Differential Functioning of Items and Tests frameworkDFIT
Sets of focal and reference item parameters from Wright (2011).dichotomousItemParameters
Calculates DTF index for a set of items with given item parameters of focal and reference groups.Dtf
Extract item discrimination and difficulties and estimate covariance estimates for 2PL items from a fitted mirt object for one or two groupsExtract2PLMirt
Extract item discrimination, difficulties, and guessing parameters and estimate covariance estimates for 3PL items from a fitted mirt object for one or two groupsExtract3PLMirt
Extract item discrimination, difficulties, guessing, and upper asymptote parameters and estimate covariance estimates for 4PL items from a fitted mirt object for one or two groupsExtract4PLMirt
Extract item discrimination and difficulties and estimate covariance estimates for GPCM items from a fitted mirt object for one or two groupsExtractGPCMMirt
Extract item discrimination and difficulties and estimate covariance estimates for GRM items from a fitted mirt object for one or two groupsExtractGRMMirt
Extracts the item parameters from a unidimensional mirt modelExtractMirtPars
Extract item difficulties and item difficulty variance estimates for Rasch items from a fitted mirt object for one or two groupsExtractRaschMirt
Item parameter replicationIpr
Item parameter replicationIprMG
MGNCDIF for Item parameter replicationIprMGNcdif
Mantel Haenszel for Item parameter replicationIprMh
NCDIF for Item parameter replicationIprNcdif
Signed Area Measure for Item parameter replicationIprSam
Unsigned Area Measure for Item parameter replicationIprUam
Calculates the Mantel-Haenszel theoretical parameter when a dichotomous IRT model holdsIrtMh
Calculates the MG-NCDIF index for an item with given item parameters of two or more groups.MGNcdif
Calculates NCDIF index for an item with given item parameters of focal and reference groups.Ncdif
Plot the item characteristic (expected score) curve for focal and reference groups for the iiItem along with a representation of the focal group density.PlotNcdif
Sets of focal and reference item parameters from Raju et al. (2009)polytomousItemParameters
Calculates the product of item response probabilities for dichotomous IRT modelsProductProbabilities
Calculates Raju's Signed Area Measure index for an item with given item parameters of focal and reference groups.SignedArea
Calculates Raju's Unsigned Area Measure index for an item with given item parameters of focal and reference groups.UnsignedArea