Information Analysis for Test and Rating Scale Data

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Documentation for package ‘TestGardener’ version 3.3.3

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Analyze Analyze test or rating scale data defined in 'dataList'.
chcemat_simulate Simulate a test or scale data matrix.
dataSimulation Simulation Based Estimates of Error Variation of Score Index Estimates
density_plot Plot the probability density function for a set of test scores
DFfun Compute the first and second derivatives of the negative log likelihoods
entropies Entropy measures of inter-item dependency
Entropy_plot Plot item entropy curves for selected items or questions.
eval.surp Values of a Functional Data Object Defining Surprisal Curves.
Fcurve Construct grid of 101 values of the fitting function
Ffun Compute the negative log likelihoods associated with a vector of score index values.
Ffuns_plot Plot a selection of fit criterion F functions and their first two derivatives.
ICC Plotting probability and surprisal curves for an item
ICC_plot Plot probability and surprisal curves for test or scale items.
index2info Compute results using arc length or information as the abscissa.
index_distn Compute score density
index_fun Compute optimal scores
index_search Ensure that estimated score index is global
make_dataList Make a list object containing information required for analysis of choice data.
mu Compute the expected test score by substituting probability of choices for indicator variable 0-1 values. Binary items assumed coded as two choice items.
mu_plot Plot expected test score as a function of score index
Power_plot Plot item power curves for selected items or questions.
Quant_13B_problem_chcemat Test data for 24 math calculation questions from the SweSAT data.
Quant_13B_problem_dataList List of objects essential for an analysis of the abbreviated SweSAT Quantitative multiple choice test.
Quant_13B_problem_infoList Arclength or information parameter list for 24 items from the quantitative SweSAT subtest.
Quant_13B_problem_key Option information for the short form of the SweSAT Quantitative test.
Quant_13B_problem_parmList Parameter list for 24 items from the quantitative SweSAT subtest.
Sbinsmth Estimate the option probability and surprisal curves.
Sbinsmth_nom List vector containing numbers of options and boundaries.
Scope_plot Plot the score index 'index' as a function of arc length.
scoreDensity Compute and plot a score density histogram and and curve.
scorePerformance Calculate mean squared error and bias for a set of score index values from simulated data.
Sensitivity_plot Plots all the sensitivity curves for selected items or questions.
SimulateData Simulate Choice Data from a Previous Analysis
smooth.ICC Smooth binned probability and surprisal values to make an 'ICC' object.
smooth.surp Fit data with surprisal smoothing.
Spca Functional principal components analysis of information curve
Spca_plot Plot the test information or scale curve in either two or three dimensions.
TestGardener Analyses of Tests and Rating Scales using Information or Surprisal
TestInfo_svd Image of the Test Tnformation Curve in 2 or 3 Dimensions
TG_analysis Statistics for Multiple choice Tests, Rating Scales and Other Choice Data)
TG_density.fd Compute a Probability Density Function