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psychotools (version 0.7-3)

Psychometric Modeling Infrastructure

Description

Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".

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Version

Install

install.packages('psychotools')

Monthly Downloads

1,565

Version

0.7-3

License

GPL-2 | GPL-3

Maintainer

Achim Zeileis

Last Published

June 9th, 2023

Functions in psychotools (0.7-3)

MemoryDeficits

Memory Deficits in Psychiatric Patients
PairClustering

Pair Clustering Data in Klauer (2006)
FirstNames

Popularity of First Names
MathExam14W

Mathematics 101 Exam Results
YouthGratitude

Measuring Gratitude in Youth
discrpar

Extract Discrimination Parameters of Item Response Models
StereotypeThreat

Stereotype Threat in Dutch Differential Aptitude Test
GermanParties2009

Choice among German Political Parties
VerbalAggression

Situation-Response Questionnaire on Verbal Aggression
SourceMonitoring

Performance in a Source-Monitoring Experiment
covariates

Extract/Set Covariates
as.list.itemresp

Coercing Item Response Data
btmodel

Bradley-Terry Model Fitting Function
anchortest

Anchor methods for the detection of uniform DIF in the Rasch model
anchor

Anchor Methods for the Detection of Uniform DIF the Rasch Model
curveplot

Response Curve Plots for IRT Models
mscale

Extract/Replace Measurement Scale
mptmodel

Multinomial Processing Tree (MPT) Model Fitting Function
labels<-

Set Labels
guesspar

Extract Guessing Parameters of Item Response Models
itempar

Extract Item Parameters of Item Response Models
infoplot

Information Plots for IRT Models
gpcmodel

Generalized Partial Credit Model Fitting Function
itemresp

Data Structure for Item Response Data
paircomp

Data Structure for Paired Comparisons
nplmodel

Parametric Logistic Model (n-PL) Fitting Function
elementary_symmetric_functions

Calculation of the Elementary Symmetric Functions and Their Derivatives
plot.paircomp

Plotting Paired Comparison Data
print.itemresp

Formatting Item Response Data
pcmodel

Partial Credit Model Fitting Function
profileplot

Profile Plots for IRT Models
piplot

Person-Item Plots for IRT Models
predict.pcmodel

Predict Methods for Item Response Models
plot.btmodel

Visualizing Bradley-Terry Models
plot.raschmodel

Visualizing IRT Models
print.paircomp

Formatting Paired Comparison Data
personpar

Extract Person Parameters of Item Response Models
rgpcm

Simulate Data under a Generalized Partial Credit Model
subset.itemresp

Subsetting Item Response Data
rpl

Simulate Data under a Parametric Logistic IRT Model
rrm

Simulate Data under a Rasch model
rrsm

Simulate Data under a Rating Scale Model
raschmodel

Rasch Model Fitting Function
worth

Extract Worth Parameters
summary.itemresp

Summarizing and Visualizing Item Response Data
upperpar

Extract Upper Asymptote Parameters of Item Response Models
subset.paircomp

Subsetting/Reordering Paired Comparison Data
rsmodel

Rating Scale Model Fitting Function
rpcm

Simulate Data under a Partial Credit Model
regionplot

Region Plots for IRT Models
threshpar

Extract Threshold Parameters of Item Response Models
ConspiracistBeliefs2016

Generic Conspiracist Beliefs Scale (2016 Data)
SoundQuality

Quality of Multichannel Reproduced Sound
Sim3PL

Simulated Data for fitting a 3PL and 3PLu