Optimal Analysis of Test and Rating Scale Data


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Documentation for package ‘TestGardener’ version 2.0.0

Help Pages

Analyze Analyze test or rating scale data defined in 'dataList'.
ArcLength.plot Plot arc length as a function of score index 'theta'.
ConditionalSimulation Simulation-based Estimation of Efficiency of a TestGardener Model
DHfun Compute the first and second derivatives of the negative log likelihoods
Entropy.plot Plot item entropy curves for selected items or questions.
Hfun Compute the negative log likelihoods associated with a vector of score index values.
Hfuns.plot Plot a selection of fit criterion H functions and their first two derivatives.
Item.plot Four plots for item assessment
keyshort Option information for the short form of the SweSAT Quantitative test.
make.dataList Make a list object containing information required for analysis of choice data.
mu.plot Plot expected test score as a function of score index
Power.plot Plot item power curves for selected items or questions.
Quant_dataList List of objects essential for an analysis of the abbreviated SweSAT Quantitative multiple choice test.
Quant_key Option information for the short form of the SweSAT Quantitative test.
Quant_parList List vector containing results for an analysis of the abbreviated SweSAT Quantitative multiple choice test.
Quant_U Test data for 24 math calculation questions from the SweSAT Quantitative data.
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.
SDS The Symptom Distress Scale data.
SDS_dataList List of objects essential for an analysis of the Symptom Distress Scale.
SDS_key Key for Symptom Distress Scale.
SDS_parList List of objects essential for an analysis of the Symptom Distress Scale.
SDS_U Test data for Symptom Distress Scale.
Sensitivity.plot Plots all the sensitivity curves for selected items or questions.
testscore Compute the expected test score by substituting probability of choices for indicator variable 0-1 values. Binary items assumed coded as two choice items.
TG_density.fd Compute a Probability Density Function
theta.distn Compute score density
theta2arclen Compute arc length and positions along the test information or scale curve
thetafun Compute optimal scores
Ushort Test data for 24 math calculation questions from the SweSAT Quantitative data.
Usimulate Simulate a test or scale data matrix.
usimulate Simulate a test or scale data matrix.
Wbinsmth Estimate the option probability and surprisal curves.
Wbinsmth.init Set up initial coefficient values for computing surprisal curves.
Wbinsmth.plot Plot probability and surprisal curves for a selection of test or scale items.
Wpca.plot Plot the test information or scale curve in either two or three dimensions.