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catSurv (version 1.3.0)

Computerized Adaptive Testing for Survey Research

Description

Provides methods of computerized adaptive testing for survey researchers. See Montgomery and Rossiter (2019) . 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

294

Version

1.3.0

License

GPL-3

Maintainer

Erin Rossiter

Last Published

October 6th, 2020

Functions in catSurv (1.3.0)

Agreeableness Cat Object

Check if Stop and/or Override Rules are Met

Computerized Adaptive Testing Survey (catSurv) Object

The First Derivative of the Log-Likelihood

Empathizing Quotient Cat Object

Conscientiousness Cat Object

The Second Derivative of the Log-Likelihood

Expected Posterior Variance

Standard Error of Ability Parameter Estimate

Extraversion Cat Object

Estimate of the Respondent's Ability Parameter

Expected Kullback-Leibler Information

Estimates of Ability Parameters for a Dataset of Response Profiles

Computerized Adaptive Testing Graded Response Model

Expected Observed Information

Convert JSON object to Cat object

Likelihood of the Specified Response Set

Expected Kullback-Leibler Information, Weighted by Likelihood

TAPS Political Knowledge (Ordered Response Options)

ex_qualtrics_results

Example Qualtrics Data for Adaptive Inventory

Need for Affect Cat Object

Need For Cognition

Fisher's Information

MTurk Political Knowledge

Fisher's Test Information

Methods for Accessing Cat Object Slots

Machiavellianism Personality Cat Object

Need to Evaluate

simulateRespondents

Simulate answer profiles given some true value of theta

Need to Evaluate Cat Object

simulateFisherInfo

Calculates Fisher Information under different adaptive battery specifications

sv_selfenhance_cat

Self-Enhancement (Schwartz Values) Cat Object

Computerized Adaptive Testing Generalized Partial Credit Model

Observed Information

ex_qualtrics_results_multiple

Example Qualtrics Data for Multiple Adaptive Inventories

Look Ahead to Select Next Item

gpcm Cat Object

Need for Cognition Cat Object

Openness to Experience Cat Object

Narcissistic personality inventory question items

systemizing_cat

Systemizing Quotient Cat Object

Right Wing Authoritarianism Cat Object

Narcissistic Personality Cat Object

Social Dominance Orientation Cat Object

Computerized Adaptive Testing Latent Trait Model

Narcissistic Personality Inventory

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

TAPS Political Knowledge

Expected Kullback-Leibler Information, Weighted by the Prior

Convert Cat object to JSON

Estimates theta under different adaptive battery specifications

Neuroticism Cat Object

Find Answer Profile that Minimizes Bias

Make Tree of Possible Question Combinations

Select Next Item

Plotting function for Cat object

Update Answer to Single Item

Openness to Change (Schwartz Values) Cat Object

sv_conservation_cat

Conservation (Schwartz Values) Cat Object

Methods for Setting Value(s) to Cat Object Slots

sv_selftransc_cat

Self-Transcendence (Schwartz Values) Cat Object

Clean adaptive inventory responses from Qualtrics

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

Qualtrics AJAX Handler

Computerized Adaptive Testing Birnbaum's Three Parameter Model