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TestDesign (version 1.1.3)

Optimal Test Design Approach to Fixed and Adaptive Test Construction

Description

Use the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) in constructing fixed and adaptive tests. Supports the following mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see . See vignette for installing 'Rsymphony' package on Mac systems.

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Version

Install

install.packages('TestDesign')

Monthly Downloads

493

Version

1.1.3

License

GPL (>= 2)

Maintainer

Seung W. Choi

Last Published

October 1st, 2020

Functions in TestDesign (1.1.3)

Calculate Fisher information

buildConstraints

Build constraints (shortcut to other loading functions)

Run adaptive test assembly

Calculate Relative Errors

Open TestDesign app

Calculate Root Mean Squared Error

Run fixed-form test assembly

Calculate second derivative of log-likelihood

Open TestDesign app

Calculate expected scores

calc_likelihood

Calculate likelihoods

calcLocation-methods

Calculate central location (overall difficulty)

Calculate first derivative of log-likelihood

calcProb-methods

Calculate item response probabilities

calcLogLikelihood

Calculate log-likelihood

Calculate the Fisher information using empirical Bayes

calc_posterior_function

Calculate a posterior distribution of theta

calc_posterior_single

Calculate a posterior value of theta for a single item

Calculate the Fisher information using full Bayesian

constraints-class

Class 'constraints': a set of constraints

Calculate the mutual information using full Bayesian

checkConstraints

Check the consistency of constraints and item usage

constraint-class

Class 'constraint': a single constraint

dataset_fatigue

Fatigue dataset

constraints-operators

Basic operators for constraints objects

item_attrib-class

Load item attributes

dataset_science

Science dataset

Print solution items

getSolutionAttributes

Retrieve constraints-related attributes from solution

dataset_reading

Reading dataset

st_attrib-class

Load set/stimulus/passage attributes

Calculate hyperparameters for logit-normal distribution

Calculate Fisher information (multiple items)

makeItemPoolCluster

Create an item pool cluster object

item_pool_cluster-class

Class 'item_pool_cluster': an item pool

output_Shadow-class

Class 'output_Shadow': adaptive assembly solution for one simulee

item_attrib-operators

Basic functions for item attribute objects

Calculate Fisher information (single item)

item_pool-operators

Basic operators for item pool objects

makeTestCluster

Generate a test cluster object

item_pool-class

Class 'item_pool': an item pool

Generate a test object

output_Shadow_all-class

Class 'output_Shadow_all': a set of adaptive assembly solutions

Extension of plot() for objects in TestDesign package

Calculate theta estimates using EB (Empirical Bayes) method

(deprecated) Plot audit trail

theta_EAP_matrix

Calculate EAP estimates of theta for a group of examinees

Calculate a posterior value of theta

config_Shadow-class

Create a config_Shadow object

Run Test Assembly

Save or print audit trails

summary-classes

Summary classes

output_Static-class

Class 'output_Static': fixed-form assembly solution

(deprecated) Plot a shadow test chart

Extension of print() for objects in TestDesign package

Compute expected a posteriori estimates of theta

config_Static-class

Create a config_Static object

Classify theta into segments

Extension of show() for objects in TestDesign package

showConstraints

(deprecated) Show constraints

Calculate a fully Bayesian estimate of theta for an examinee

theta_FB_single

Calculate a fully Bayesian estimate of theta for a single item

toggleConstraints

Toggle constraints

iparPosteriorSample

Sample item parameter estimates from their posterior distributions

Calculate item response probability

updateConstraints

(deprecated) Update constraints

Simulate item response data

Calculate hyperparameters for log-normal distribution

Extension of summary() for objects in TestDesign package

loadConstraints

Load constraints

Compute maximum likelihood estimates of theta using fence items

Compute maximum likelihood estimates of theta

(deprecated) Plot item exposure rates

st_attrib-operators

Basic functions for stimulus attribute objects

(deprecated) Plot item/test/pool-level information

Calculate an EAP estimate of theta for one examinee

Basic operators for test objects

Class 'test': data for test assembly

test_cluster-class

Class 'test_cluster': data for test assembly