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catSurv (version 1.6.0)

Computerized Adaptive Testing for Survey Research

Description

Provides methods of computerized adaptive testing for survey researchers. See Montgomery and Rossiter (2020) . Includes functionality for data fit with the classic item response methods including the latent trait model, the Birnbaum three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.

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Version

Install

install.packages('catSurv')

Monthly Downloads

362

Version

1.6.0

License

GPL-3

Maintainer

Erin Rossiter

Last Published

October 15th, 2025

Functions in catSurv (1.6.0)

ex_qualtrics_results_multiple

Example Qualtrics Data for Multiple Adaptive Inventories

Expected Observed Information

Methods for Accessing Cat Object Slots

Fisher's Test Information

Fisher's Information

ex_qualtrics_results

Example Qualtrics Data for Adaptive Inventory

Extraversion Cat Object

Expected Kullback-Leibler Information, Weighted by Likelihood

Likelihood of the Specified Response Set

gpcm Cat Object

Computerized Adaptive Testing Generalized Partial Credit Model

Need for Affect Cat Object

Computerized Adaptive Testing Graded Response Model

Narcissistic Personality Inventory

Need for Cognition Cat Object

Computerized Adaptive Testing Latent Trait Model

Look Ahead to Select Next Item

Narcissistic personality inventory question items

Machiavellianism Personality Cat Object

Narcissistic Personality Cat Object

Need to Evaluate

Need to Evaluate Cat Object

MTurk Political Knowledge

Observed Information

Openness to Experience Cat Object

Expected Kullback-Leibler Information, Weighted by the Prior

Make Tree of Possible Question Combinations

TAPS Political Knowledge

Neuroticism Cat Object

Right Wing Authoritarianism Cat Object

Estimates theta under different adaptive battery specifications

Update Answer to Single Item

Social Dominance Orientation Cat Object

Plotting function for Cat object

Find Answer Profile that Minimizes Bias

Need For Cognition

Qualtrics AJAX Handler

Clean adaptive inventory responses from Qualtrics

sv_selfenhance_cat

Self-Enhancement (Schwartz Values) Cat Object

Computerized Adaptive Testing Birnbaum's Three Parameter Model

sv_conservation_cat

Conservation (Schwartz Values) Cat Object

Openness to Change (Schwartz Values) Cat Object

sv_selftransc_cat

Self-Transcendence (Schwartz Values) Cat Object

Evaluate the Prior Density Distribution at Position \(theta\)

Methods for Setting Value(s) to Cat Object Slots

Select Next Item

TAPS Political Knowledge (Ordered Response Options)

systemizing_cat

Systemizing Quotient Cat Object

simulateFisherInfo

Calculates Fisher Information under different adaptive battery specifications

simulateRespondents

Simulate answer profiles given some true value of theta

Probability of Responses to a Question Item or the Left-Cumulative Probability of Responses

Convert Cat object to JSON

Computerized Adaptive Testing Survey (catSurv) Object

Check if Stop and/or Override Rules are Met

Estimates of Ability Parameters for a Dataset of Response Profiles

Agreeableness Cat Object

The Second Derivative of the Log-Likelihood

Estimate of the Respondent's Ability Parameter

Standard Error of Ability Parameter Estimate

The First Derivative of the Log-Likelihood

Conscientiousness Cat Object

Empathizing Quotient Cat Object

Expected Posterior Variance

Expected Kullback-Leibler Information

Convert JSON object to Cat object