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catSurv (version 1.5.0)

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, Birnbaum`s 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

330

Version

1.5.0

License

GPL-3

Maintainer

Erin Rossiter

Last Published

December 3rd, 2022

Functions in catSurv (1.5.0)

Expected Posterior Variance

ex_qualtrics_results

Example Qualtrics Data for Adaptive Inventory

Fisher's Information

Likelihood of the Specified Response Set

Computerized Adaptive Testing Generalized Partial Credit Model

Fisher's Test Information

Expected Kullback-Leibler Information, Weighted by Likelihood

gpcm Cat Object

ex_qualtrics_results_multiple

Example Qualtrics Data for Multiple Adaptive Inventories

Convert JSON object to Cat object

Methods for Accessing Cat Object Slots

Estimates of Ability Parameters for a Dataset of Response Profiles

Need to Evaluate

Neuroticism Cat Object

Make Tree of Possible Question Combinations

Need to Evaluate Cat Object

Find Answer Profile that Minimizes Bias

Narcissistic personality inventory question items

Machiavellianism Personality Cat Object

Narcissistic Personality Cat Object

Observed Information

Openness to Experience Cat Object

Extraversion Cat Object

Look Ahead to Select Next Item

Computerized Adaptive Testing Latent Trait Model

Plotting function for Cat object

Clean adaptive inventory responses from Qualtrics

Qualtrics AJAX Handler

Need For Cognition

Need for Affect Cat Object

Right Wing Authoritarianism Cat Object

Social Dominance Orientation Cat Object

Expected Kullback-Leibler Information

Expected Observed Information

Select Next Item

Computerized Adaptive Testing Graded Response Model

Methods for Setting Value(s) to Cat Object Slots

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

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

Computerized Adaptive Testing Birnbaum's Three Parameter Model

MTurk Political Knowledge

Need for Cognition Cat Object

Narcissistic Personality Inventory

TAPS Political Knowledge (Ordered Response Options)

simulateFisherInfo

Calculates Fisher Information under different adaptive battery specifications

sv_conservation_cat

Conservation (Schwartz Values) Cat Object

simulateRespondents

Simulate answer profiles given some true value of theta

Convert Cat object to JSON

systemizing_cat

Systemizing Quotient Cat Object

Estimates theta under different adaptive battery specifications

Expected Kullback-Leibler Information, Weighted by the Prior

Update Answer to Single Item

TAPS Political Knowledge

sv_selftransc_cat

Self-Transcendence (Schwartz Values) Cat Object

sv_selfenhance_cat

Self-Enhancement (Schwartz Values) Cat Object

Openness to Change (Schwartz Values) Cat Object

Computerized Adaptive Testing Survey (catSurv) Object

The First Derivative of the Log-Likelihood

Agreeableness Cat Object

Estimate of the Respondent's Ability Parameter

Check if Stop and/or Override Rules are Met

The Second Derivative of the Log-Likelihood

Standard Error of Ability Parameter Estimate

Conscientiousness Cat Object

Empathizing Quotient Cat Object