| Type: | Package |
| Title: | Items Response Theory Analysis with Steps and Interpretation |
| Version: | 0.4.1 |
| Maintainer: | Hari Purnomo Susanto <haripurnomosusanto@gmail.com> |
| Description: | Dichotomous and polytomous data analysis and their scoring using the unidimensional Item Response Theory model (Chalmers (2012) <doi:10.18637/jss.v048.i06>) with user-friendly graphic User Interface. Suitable for beginners who are learning item response theory. |
| Imports: | DT, mirt, psych, readxl,shiny,shinyWidgets,shinycssloaders,rmarkdown,bs4Dash,gt,diagram,writexl,mirtCAT,WrightMap |
| License: | GPL (≥ 3) |
| Encoding: | UTF-8 |
| NeedsCompilation: | no |
| URL: | https://github.com/SusantoHP/irtawsi |
| BugReports: | https://github.com/SusantoHP/irtawsi/issues |
| Packaged: | 2024-06-26 16:16:47 UTC; Hari PS |
| Author: | Hari Purnomo Susanto
 [aut, cre],
Heri Retnawati
[ctb],
Agus Maman Abadi
[ctb],
Haryanto Haryanto
[ctb],
Hasan Djidu [ctb] |
| Repository: | CRAN |
| Date/Publication: | 2024-06-26 18:10:02 UTC |
Items Response Theory Analysis with Steps and Interpretation
Description
Dichotomous and polytomous data analysis and their scoring using the unidimensional Item Response Theory model (Chalmers (2012) <doi:10.18637/jss.v048.i06>) with user-friendly graphic User Interface. Suitable for beginners who are learning item response theory.
Usage
irtawsi()
Value
No values are returned, launches 'shiny' interface
References
Cai, L. & Monro, S. (2014). A new statistic for evaluating item response theory models for ordinal data. National Center for Research on Evaluation, Standards, & Student Testing. Technical Report.
Chalmers, R., P. (2012). mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software, 48(6), 1-29. doi:10.18637/jss.v048.i06
DeMars, C. (2010). Item Response Theory. doi:10.1093/acprof:oso/9780195377033.001.0001
Guenole, N., & Brown, A. (2014). The consequences of ignoring measurement invariance for path coefficients in structural equation models. Frontiers in Psychology, 5. doi:10.3389/fpsyg.2014.00980
Maydeu-Olivares, A. (2013). Goodness-of-Fit Assessment of Item Response Theory Models. Measurement: Interdisciplinary Research & Perspective, 11 (3), 71–101. doi:10.1080/15366367.2013.831680
Maydeu-Olivares, A. (2014). Evaluating the Fit of IRT Models. In S. P. Reise & D. A. Revicki (Eds.), Handbook of Item Response Theory Modeling 129–145. Routledge. doi:10.4324/9781315736013-15
Nguyen, T. H., Han, H.-R., Kim, M. T., & Chan, K. S. (2014). An Introduction to Item Response Theory for Patient-Reported Outcome Measurement. The Patient - Patient-Centered Outcomes Research, 7 (1), 23–35. doi:10.1007/s40271-013-0041-0
Paek, I., & Cole, K. (2019). Using R for Item Response Theory Model Applications. Routledge. doi:10.4324/9781351008167
Petersen, M. A. (2005). Introduction to Nonparametric Item Response Theory. Quality of Life Research, 14 (4), 1201–1202. doi:10.1007/s11136-005-1259-7
Retnawati, H. (2015). Karakteristik Butir Tes dan Analisisnya. Uny, 53(5).
Toland, M. D. (2014). Practical Guide to Conducting an Item Response Theory Analysis. The Journal of Early Adolescence, 34 (1), 120–151. doi:10.1177/0272431613511332
Xu, J., Zhang, Q., & Yang, Y. (2020). Impact of violations of measurement invariance in cross-lagged panel mediation models. Behavior Research Methods, 52 (6), 2623–2645. doi:10.3758/s13428-020-01426-z
Examples
if(interactive()){
## Run this code for launching the Graphic User Interface
irtawsi()
}