Educational Assessment Tools for IRT Modeling using Conquest or TAM


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Documentation for package ‘eatModel’ version 0.6.22

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eatModel-package Specify and run IRT models from R (using Conquest or TAM).
aggregateData Aggregate variables to items and/or scales.
convertLabel Transform SPSS variable and value labels into ZKD convention.
createSpssSyntaxSnippet Prepare SPSS syntax to transfer variable and value labels into an SPSS data set.
defineModel Prepares IRT analysis for Conquest and TAM
eapFromRes Collects all EAP results from the object returned by getResults()
equat1pl 1pl equating with optional elimination of linking DIF items
get.dsc Read Conquest 'descriptives' output files.
get.equ Reads equivalence table created in Conquest analysis.
get.itn Read ConQuest 'itanal' Output Files
get.plausible Read Conquest Plausible Values Output Files
get.prm Read Conquest prm (parameter) Output Files
get.shw Read ConQuest showfiles
get.wle Read Conquest WLE or MLE Output Files
getResults Collect all results from Conquest/TAM analysis into a common data frame
gsubAll Pattern matching and replacement
halveString Split string exactly in two parts
itemFromRes Collect all item results from the object returned by getResults()
make.pseudo Transform ratings from real raters into pseudo ratings
meanAgree mean agreement among several raters
meanKappa Cohens kappa among several raters
mergeAttr Merge Two Data Frames and maintain variable attributes
multiseq multiple sequences
num.to.cat Transform continuous variables into ordered factors
plotICC Plots item charactestic curves.
prepRep Prepares 'eatModel' results for jackknifing and trend estimation via 'eatRep'.
pvFromRes Collects all plausible values from the object returned by getResults()
q3FromRes Extracts the Q3 matrices from the object returned by getResults()
rater Variable ratings for 1287 examinees, 7 variables and 4 raters.
runModel Run IRT model specified by 'defineModel' using Conquest or TAM
sciences Science achievement test data obtained from large-scale assessment.
simEquiTable Computes equivalence table based on simulated data
splitModels Create several models by splitting the qMatrix and/or person.groups
transformToBista Transformation of item and person parameters to the Bista metric.
wleFromRes Collects all WLEs from the object returned by getResults()