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. |