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resquin-tool-application

Tool application for KODAQS Toolbox, implementing the resquin package

https://github.com/kraemefe/resquin-tool-application

Science Score: 44.0%

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Repository

Tool application for KODAQS Toolbox, implementing the resquin package

Basic Info
  • Host: GitHub
  • Owner: kraemefe
  • License: gpl-3.0
  • Language: HTML
  • Default Branch: main
  • Size: 17.7 MB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

Assessing Response Quality in Multi-Item Scales Using resquin

This is an application case that investigates response quality in two multi-item scales - one on environmental attitudes and one on political trust - using resquin.

About resquin

resquin is currently still in development and will comprise two more functions on the calculation of response pattern and response time indicators.

resquin (response quality indicators) provides functions to assess response quality and identify poor quality responses or response biases. resp_styles() and resp_distributions() provide response quality indicators geared towards multi-item scales or matrix questions. Both multi-item scales and matrix questions present survey respondents with multiple questions which have the same response format, meaning the same number and labeling of response options.

At the moment, resquin provides two functions:

  • resp_styles() - Calculates response style indicators (e.g. extreme response style or middle response style).
  • resp_distributions() - Calculates response distribution indicators (e.g. intra-individual mean and standard deviation over a set of survey questions).

Two more functions are planned:

  • resp_patterns - Calculates response pattern indicators (e.g. straightlining)
  • resp_times - Calculates response time indicators (e.g. median item response time)

For information on the functions of and how to use resquin see resquin and Getting started with resquin.

Installation

resquin is available on CRAN. You can install resquin, by using the following commands:

```{r install resquin}

Installing resquin

install.packages("resquin")

Loading resquin into the R session

library(resquin) ```

Owner

  • Login: kraemefe
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "Please cite this work as follows:"
title: "Assessing Response Quality and Careless Responding in Multi-Item Scales"
authors:
  - family-names: "Kraemer"
    given-names: "Fabienne"
  - family-names: "Eser"
    given-names: "Arjin"
  - family-names: "Yıldız"
    given-names: "Çağla"
  - family-names: "Roth"
    given-names: "Matthias"
date-released: "2024-11-04"
version: "1.0.0"
url: "https://github.com/kraemefe/resquin-tool-application"

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