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TestDesign (version 1.0.0)

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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Install

install.packages('TestDesign')

Monthly Downloads

470

Version

1.0.0

License

GPL (>= 2)

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Repository

https://github.com/choi-phd/TestDesign

Maintainer

Seung W. Choi

Last Published

November 4th, 2019

Functions in TestDesign (1.0.0)

calc_log_likelihood

Calculate a log-likelihood value of theta

Calculate probability at multiple thetas (GR)

Calculate Root Mean Squared Error

Run adaptive test assembly.

Calculate first derivative

Calculate Fisher information

An S4 class to represent a 1PL item

config_Shadow-class

createShadowTestConfig

output_Shadow-class

iparPosteriorSample

Sample item parameter estimates from their posterior distributions

Generate maximum likelihood estimates of theta

Draw an item exposure plot

constraints-class

An S4 class to represent a set of constraints

Calculate Fisher information at multiple thetas (GR)

Calculate Fisher information at multiple thetas (PC)

plotExposureRateBySegment

Draw exposure rate plots by theta segment

Calculate probability at multiple thetas (PC)

pool_cluster-class

An S4 class to represent a cluster of item pools

calcDerivative2

Calculate second derivative

Calculate Fisher information at multiple thetas (1PL)

Calculate second derivative of log-likelihood

checkConstraints

Check the consistency of constraints and item usage

calc_log_likelihood_function

Calculate a log-likelihood function of theta

Calculate a posterior value of theta

Calculate expected scores

Find matching theta to supplied probability

Calculate item response probabilities

Run Test Assembly

dataset_reading

Reading dataset

calc_posterior_function

Calculate a posterior distribution of theta

extract-methods

Generate expected a posteriori estimates of theta

Calculate the mutual information using full Bayesian

Calculate the Fisher information matrix for a single theta value and a set of items, potentially with a mixture of different models

Generate expected a posteriori estimates of theta

calc_posterior_single

Calculate a posterior value of theta for a single item

Calculate Fisher information at multiple thetas (2PL)

Find the segment to which each theta value belongs

constraint-class

An S4 class to represent a single constraint

An S4 class to represent a 3PL item

Generate a test object

Calculate Fisher information at a single theta (PC)

makeItemPoolCluster

Create an item pool cluster object

Calculate Fisher information at a single theta (GR).

An S4 class to represent a 2PL item

Load set/stimulus/passage attributes

Calculate hyperparameters for log-normal distribution

loadConstraints

Load constraints

Draw an audit trail plot

dataset_science

Science dataset

Calculate an EAP estimate of theta for one examinee

Calculate probability at a single theta (GR)

Calculate probability at a single theta (PC)

calc_info_matrix

Calculate the Fisher information matrix for a vector of theta values and a set of items, potentially with a mixture of different models

test_cluster-class

An S4 class to represent a test cluster

Draw item information plots

Calculate hyperparameters for logit-normal distribution

plotEligibilityStats

Draw item eligibility statistics plots

Calculate Fisher information at a single theta (3PL)

plotExposureRateFinal

Draw exposure rate plots by final theta segment

plotExposureRateFinalFlag

Draw item information plots for flagged items by segment

Calculate Fisher information at a single theta (GPC).

Calculate an empirical Bayes estimate of theta for one examinee

theta_EAP_matrix

Calculate EAP estimates of theta for a group of examinees

plotInfoOverlay

Overlay item information plots

calc_likelihood

Calculate a likelihood value of theta

An S4 class to represent a partial credit item

item_pool-class

An S4 class to represent an item pool

st_attrib-class

An S4 class to represent a set of constraints.

item_attrib-class

An S4 class to represent a set of constraints.

theta_EB_single

Calculate an empirical Bayes estimate of theta for a single item

item_pool.operators

Item pool and pool cluster operators

Save or print audit trails

Calculate probability at a single theta (1PL)

Calculate probability at a single theta (2PL)

Simulate item responses

Create a subset of an item pool object

updateConstraints

Update constraints

theta_FB_single

Calculate a fully Bayesian estimate of theta for a single item

makeTestCluster

Generate a test cluster object

Draw RMSE plots

Draw a shadow test chart

Generate maximum likelihood estimates of theta

Calculate a fully Bayesian estimate of theta for an examinee

Run Static Test Assembly

Add transparancy to color

Calculate probability at multiple thetas (3PL)

Calculate probability at multiple thetas (GPC)

Calculate first derivative of log-likelihood

Calculate item location

config_Static-class

createStaticTestConfig

Calculate the Fisher information using full Bayesian

Calculate the Fisher information using empirical Bayes

dataset_fatigue

Fatigue dataset

Calculate Fisher information at a single theta (2PL)

An S4 class to represent a graded response item

Calculate Fisher information at a single theta (1PL)

An S4 class to represent a generalized partial credit item

Load item attributes

Load item paramaters

Calculate probability at a single theta (GPC)

Calculate probability at a single theta (3PL)

Create a subset of a test object

An S4 class to represent a test

buildConstraints

Build constraints

Calculate Fisher information at multiple thetas (GPC)

Calculate Fisher information at multiple thetas (3PL)

Launch Shiny app

Calculate probability at multiple thetas (1PL)

Calculate probability at multiple thetas (2PL)

Calculate Relative Errors

calc_likelihood_function

Calculate a likelihood function of theta