Unknown

Dataset Information

0

IRTGUI: An R Package for Unidimensional Item Response Theory Analysis With a Graphical User Interface.


ABSTRACT: In the last decade, many R packages were published to perform item response theory (IRT) analysis. Some researchers and practitioners have difficulty in using these functional tools because of their insufficient coding skills. The IRTGUI package provides these researchers a user-friendly GUI where they can perform unidimensional IRT analysis without coding skills. Using the IRTGUI package, person and item parameters, model and item fit indices can be obtained. Dimensionality and local independence assumptions can be tested. With the IRTGUI package, users can generate dichotomous data sets with customizable conditions. Also, Wright Maps, item characteristics and information curves can be graphically displayed. All outputs can be easily downloaded by users.

SUBMITTER: Yildiz H 

PROVIDER: S-EPMC8640354 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

IRTGUI: An R Package for Unidimensional Item Response Theory Analysis With a Graphical User Interface.

Yildiz Huseyin H  

Applied psychological measurement 20210915 7-8


In the last decade, many R packages were published to perform item response theory (IRT) analysis. Some researchers and practitioners have difficulty in using these functional tools because of their insufficient coding skills. The <i>IRTGUI</i> package provides these researchers a user-friendly GUI where they can perform unidimensional IRT analysis without coding skills. Using the <i>IRTGUI</i> package, person and item parameters, model and item fit indices can be obtained. Dimensionality and lo  ...[more]

Similar Datasets

| S-EPMC6166986 | biostudies-literature
| S-EPMC4105585 | biostudies-literature
| S-EPMC3413388 | biostudies-literature
| S-EPMC8215856 | biostudies-literature
| S-EPMC3529807 | biostudies-literature
| S-EPMC10933447 | biostudies-literature
| S-EPMC6914213 | biostudies-literature
| S-EPMC10514215 | biostudies-literature
| S-EPMC2639440 | biostudies-literature
| S-EPMC4031428 | biostudies-literature