Information Analysis for Test and Rating Scale Data
Analyze test or rating scale data defined in dataList.
Simulate a test or scale data matrix.
Simulation Based Estimates of Error Variation of Score Index Estimates
Plot the probability density function for a set of test scores
Compute the first and second derivatives of the negative log likelihoo...
Entropy measures of inter-item dependency
Plot item entropy curves for selected items or questions.
Values of a Functional Data Object Defining Surprisal Curves.
Construct grid of 101 values of the fitting function
Compute the negative log likelihoods associated with a vector of score...
Plot a selection of fit criterion F functions and their first two deri...
Plot probability and surprisal curves for test or scale items.
Plotting probability and surprisal curves for an item
Compute score density
Compute optimal scores
Ensure that estimated score index is global
Compute results using arc length or information as the abscissa.
Make a list object containing information required for analysis of cho...
Plot expected test score as a function of score index
Compute the expected test score by substituting probability of choices...
Plot item power curves for selected items or questions.
List vector containing numbers of options and boundaries.
Initialize surprisal smoothing of choice data.
Estimate the option probability and surprisal curves.
Plot the score index index as a function of arc length.
Compute and plot a score density histogram and and curve.
Calculate mean squared error and bias for a set of score index values ...
Plots all the sensitivity curves for selected items or questions.
Simulate Choice Data from a Previous Analysis
Smooth binned probability and surprisal values to make an ICC object...
Fit data with surprisal smoothing.
Plot the test information or scale curve in either two or three dimens...
Functional principal components analysis of information curve
Objects resulting for assessing fit of surprisal matrix to surprisal d...
Analyses of Tests and Rating Scales using Information or Surprisal
Image of the Test Tnformation Curve in 2 or 3 Dimensions
Statistics for Multiple choice Tests, Rating Scales and Other Choice D...
Compute a Probability Density Function
Develop, evaluate, and score multiple choice examinations, psychological scales, questionnaires, and similar types of data involving sequences of choices among one or more sets of answers. This version of the package should be considered as brand new. Almost all of the functions have been changed, including their argument list. See the file NEWS.Rd in the Inst folder for more information. Using the package does not require any formal statistical knowledge beyond what would be provided by a first course in statistics in a social science department. There the user would encounter the concept of probability and how it is used to model data and make decisions, and would become familiar with basic mathematical and statistical notation. Most of the output is in graphical form.