Man pages for TestGardener
Information Analysis for Test and Rating Scale Data

AnalyzeAnalyze test or rating scale data defined in 'dataList'.
chcemat_simulateSimulate a test or scale data matrix.
dataSimulationSimulation Based Estimates of Error Variation of Score Index...
density_plotPlot the probability density function for a set of test...
DFfunCompute the first and second derivatives of the negative log...
entropiesEntropy measures of inter-item dependency
Entropy_plotPlot item entropy curves for selected items or questions.
eval.surpValues of a Functional Data Object Defining Surprisal Curves.
FcurveConstruct grid of 101 values of the fitting function
FfunCompute the negative log likelihoods associated with a vector...
Ffuns_plotPlot a selection of fit criterion F functions and their first...
ICC_plotPlot probability and surprisal curves for test or scale...
index2infoCompute results using arc length or information as the...
index_distnCompute score density
index_funCompute optimal scores
index_searchEnsure that estimated score index is global
make_dataListMake a list object containing information required for...
muCompute the expected test score by substituting probability...
mu_plotPlot expected test score as a function of score index
Power_plotPlot item power curves for selected items or questions.
Quant_13B_problem_chcematTest data for 24 math calculation questions from the SweSAT...
Quant_13B_problem_dataListList of objects essential for an analysis of the abbreviated...
Quant_13B_problem_infoListArclength or information parameter list for 24 items from the...
Quant_13B_problem_keyOption information for the short form of the SweSAT...
Quant_13B_problem_parmListParameter list for 24 items from the quantitative SweSAT...
SbinsmthEstimate the option probability and surprisal curves.
Sbinsmth_nomList vector containing numbers of options and boundaries.
Scope_plotPlot the score index 'index' as a function of arc length.
scoreDensityCompute and plot a score density histogram and and curve.
scorePerformanceCalculate mean squared error and bias for a set of score...
Sensitivity_plotPlots all the sensitivity curves for selected items or...
SimulateDataSimulate Choice Data from a Previous Analysis
smooth.ICCSmooth binned probability and surprisal values to make an...
smooth.surpFit data with surprisal smoothing.
SpcaFunctional principal components analysis of information curve
Spca_plotPlot the test information or scale curve in either two or...
TestGardener-packageAnalyses of Tests and Rating Scales using Information or...
TestInfo_svdImage of the Test Tnformation Curve in 2 or 3 Dimensions
TG_analysisStatistics for Multiple choice Tests, Rating Scales and Other...
TG_density.fdCompute a Probability Density Function
TestGardener documentation built on Nov. 24, 2023, 5:08 p.m.