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catSurv (version 1.1.3)

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

312

Version

1.1.3

License

GPL-3

Maintainer

Erin Rossiter

Last Published

November 19th, 2019

Functions in catSurv (1.1.3)

Computerized Adaptive Testing Survey (catSurv) Object

Empathizing Quotient Cat Object

Agreeableness Cat Object

Estimates of Ability Parameters for a Dataset of Response Profiles

Estimate of the Respondent's Ability Parameter

Standard Error of Ability Parameter Estimate

Expected Posterior Variance

Fisher's Information

Convert JSON object to Cat object

The First Derivative of the Log-Likelihood

The Second Derivative of the Log-Likelihood

Openness to Experience Cat Object

Computerized Adaptive Testing Graded Response Model

Update Answer to Single Item

Plotting function for Cat object

sv_conservation_cat

Conservation (Schwartz Values) Cat Object

MTurk Political Knowledge

Fisher's Test Information

Find Answer Profile that Minimizes Bias

sv_selftransc_cat

Self-Transcendence (Schwartz Values) Cat Object

Methods for Accessing Cat Object Slots

Check if Stop and/or Override Rules are Met

Conscientiousness Cat Object

gpcm Cat Object

Computerized Adaptive Testing Generalized Partial Credit Model

Likelihood of the Specified Response Set

Extraversion Cat Object

Expected Kullback-Leibler Information, Weighted by Likelihood

Narcissistic personality inventory question items

systemizing_cat

Systemizing Quotient Cat Object

Expected Kullback-Leibler Information

Expected Observed Information

Computerized Adaptive Testing Latent Trait Model

Observed Information

Look Ahead to Select Next Item

Need to Evaluate Cat Object

Expected Kullback-Leibler Information, Weighted by the Prior

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

Make Tree of Possible Question Combinations

Machiavellianism Personality Cat Object

Neuroticism Cat Object

Need for Affect Cat Object

Need For Cognition

Need for Cognition Cat Object

Qualtrics AJAX Handler

Methods for Setting Value(s) to Cat Object Slots

Narcissistic Personality Inventory

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

simulateFisherInfo

Calculates Fisher Information under different adaptive battery specifications

Narcissistic Personality Cat Object

Clean adaptive inventory responses from Qualtrics

Openness to Change (Schwartz Values) Cat Object

Right Wing Authoritarianism Cat Object

Social Dominance Orientation Cat Object

sv_selfenhance_cat

Self-Enhancement (Schwartz Values) Cat Object

TAPS Political Knowledge (Ordered Response Options)

simulateRespondents

Simulate answer profiles given some true value of theta

TAPS Political Knowledge

Estimates theta under different adaptive battery specifications

Select Next Item

Convert Cat object to JSON

Computerized Adaptive Testing Birnbaum's Three Parameter Model