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rstyles: Generating Simulated Data Mimicking Response Styles to Survey Questions
Package allows to generate simulated datasets using algorithms that mimic different response styles to survey questions using: 1) IRTree approach (Bockenholt (2012) <doi:10.1037/a0028111>, (2017) <doi:10.1037/met0000106>), 2) (G)PCM (and rating scale version of a partial credit model) random-thresholds approach (Falk & Cai (2016) <doi:10.1037/met0000059>; Henninger & Meiser (2020a) <doi:10.1037/met0000249>, (2020b) <doi:10.1037/met0000268>; Plieninger (2017) <doi:10.1177/0013164416636655>), 3) user provided function that (with some probability) chooses response using information about previous responses. This allows to cover wide range of potential response styles like: extreme and middle (ERS, MRS), acquiesce (ARS) and also careless/inattentive responding (CR, IR).
Getting started
Browse package contents
Package details |
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| Author | Tomasz Zoltak [aut, cre] (<https://orcid.org/0000-0003-1354-4472>), Artur Pokropek [aut] (<https://orcid.org/0000-0002-5899-2917>), Marek MuszyŃski [aut] (<https://orcid.org/0000-0002-9306-1237>) |
| Maintainer | Tomasz Zoltak <tomek@zozlak.org> |
| License | MIT + file LICENSE |
| Version | 0.4.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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