R: Information Analysis for Test and Rating Scale Data

# Information Analysis for Test and Rating Scale Data

## Documentation for package ‘TestGardener’ version 3.3.6

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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.init | Initialize surprisal smoothing of choice data.
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.
surp.fit | Objects resulting for assessing fit of surprisal matrix to surprisal data
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