Package: resquin 0.1.1.9000

Matthias Roth

resquin: Response Quality Indicators for Survey Research

Calculate common survey data quality indicators for multi-item scales and matrix questions. Currently supports the calculation of response style indicators and response distribution indicators. For an overview on response quality indicators see Bhaktha N, Henning S, Clemens L (2024). 'Characterizing response quality in surveys with multi-item scales: A unified framework' <https://osf.io/9gs67/>.

Authors:Matthias Roth [aut, cre, cph], Nivedita Bhaktha [aut, ctb], Matthias Bluemke [aut, ctb], Thomas Knopf [aut, ctb], Fabienne Krämer [aut, ctb], Clemens Lechner [aut, ctb], Çağla Yildiz [aut, ctb]

resquin_0.1.1.9000.tar.gz
resquin_0.1.1.9000.zip(r-4.7-any)resquin_0.1.1.9000.zip(r-4.6-any)resquin_0.1.1.9000.zip(r-4.5-any)
resquin_0.1.1.9000.tgz(r-4.6-any)resquin_0.1.1.9000.tgz(r-4.5-any)
resquin_0.1.1.9000.tar.gz(r-4.7-any)resquin_0.1.1.9000.tar.gz(r-4.6-any)
resquin_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
resquin/json (API)

# Install 'resquin' in R:
install.packages('resquin', repos = c('https://matroth.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/matroth/resquin/issues

Pkgdown/docs site:https://matroth.github.io

Datasets:
  • nep - NEP-Scale GESIS Panel Campus File

On CRAN:

Conda:

5.12 score 7 stars 19 scripts 256 downloads 5 exports 14 dependencies

Last updated from:765344d44a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK126
source / vignettesOK197
linux-releaseOK134
macos-releaseOK165
macos-oldrelOK198
windows-develOK74
windows-releaseOK76
windows-oldrelOK73
wasm-releaseOK113

Exports:flag_respresp_distributionsresp_nondifferentiationresp_patternsresp_styles

Dependencies:cligluelifecyclemagrittrpillarpkgconfigpurrrrlangsliderstringitibbleutf8vctrswarp

Getting started with resquin
An introduction to resquin | Example dataset of survey responses | resp_styles(): Response style indicators | How to quickly glance at results | resp_distributions(): Intra-individual response distribution indicators | resp_nondifferentiation(): Response nondifferentiation indicators | resp_patterns(): Response pattern indicators | Using the id argument: Uniquely identify respondents | Missing data as a threat to the validity of response quality indicators | References
Rendered fromgetting_started_with_resquin.Rmdusingknitr::rmarkdown

Last update: 2025-06-24
Started: 2024-08-16

Flagging respondents
Using flag_resp() to create and compare flagging strategies | Using two flagging strategies | Comparing three flagging strategies with one comming from a different source | Filtering respondents
Rendered fromflagging_respondents.Rmdusingknitr::rmarkdown

Last update: 2025-06-23
Started: 2025-06-22