LSAT6

Well-known LSAT6 dichotomous response data set from Thissen (1982).

datasets

Fit unidimensional item response theory (IRT) models to a mixture
of dichotomous and polytomous data, calibrate online item parameters
(i.e., pretest and operational items), estimate examinees' abilities,
and examine the IRT model-data fit on item-level in different ways
as well as provide useful functions related to IRT analyses such as
IRT model-data fit evaluation and differential item functioning analysis.
The bring.flexmirt() and write.flexmirt() functions were written by modifying
the read.flexmirt() function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>).
The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog()
and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>).
The bisection() function was written by modifying the bisection() function
(Howard (2017, ISBN:9780367657918)). The code of the inverse test characteristic curve
scoring in the est_score() function was written by modifying the irt.eq.tse() function
(González (2014) <doi:10.18637/jss.v059.i07>). In est_score() function, the code of weighted
likelihood estimation method was written by referring to the Pi(), Ji(), and Ii() functions
of the catR package (Magis & Barrada (2017) <doi:10.18637/jss.v076.c01>).

Hwanggyu Lim

irtQ

Unidimensional Item Response Theory Modeling

LSAT6 function

This data contains 1,000 dichotomous response patterns of five items obtained from
the Law School Admissions Test, section 6.

Format

Hwanggyu Lim <a href="/link/hglim83%40gmail.com?package=irtQ&version=0.2.1" data-mini-rdoc="irtQ::hglim83@gmail.com">hglim83@gmail.com</a>

Author

LSAT6 data — LSAT6

Hwanggyu Lim <a href='mailto:hglim83@gmail.com'>hglim83@gmail.com</a>

LSAT6: LSAT6 data

Description

Usage

Arguments

Format

Author

References