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gep-survey-data-analysis

https://github.com/inspirequalityeu/gep-survey-data-analysis

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: zenodo.org
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: InspireQualityeu
  • License: other
  • Language: R
  • Default Branch: main
  • Size: 4.88 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Project title

gep survey data analysing

Description

The Gender Equality Plan (GEP) monitoring survey analysis script contains R code for analysing INSPIRE's survey. INSPIRE survey targeted 27 EU member plus Bosnia-Herzegovina, Israel, Norway, Serbia, Switzerland, and the UK. Survey is launched in 2024. Data analysis was conducted using various software tools; however, to promote transparency and reproducibility, we aim to publish the analysis code in R. Due to data protection regulations, the survey data cannot be publicly shared. The data analysis script is based on the D3.3 Report on GEP Monitoring Survey and Webcrawl Results. The report can be accessed via the following link: https://zenodo.org/records/14264597.

INSPIRE is an EU funded project. INSPIRE is Europe's Centre of Excellence on inclusive gender equality in research and innovation. It brings together cutting-edge knowledge, ambitious policy approaches, and innovative practices to provide a gateway for scholars, equality experts, practitioners and trainers to connect and share resources, as well as co-create new ones. For more info please visit: INSPIRE's official website

List of scripts

  1. Response rate by country
  2. Response rate by country cluster
  3. Response rate by language
  4. Response rate by type of organisation
  5. People and functions fullfilling the survey
  6. Prevalence survey organisation type
  7. Reasons for not having a GEP
  8. Kind of GEP or equivalent
  9. Yea of the first GEP in the organsiation
  10. Year of the first GEP in the organsiation - only 2020 and 2024
  11. Influence of eligibility criterion to set up a GEP
  12. Publication of the GEP
  13. Language of the GEP
  14. Mean of ratings changes with and without GEP
  15. Mean of ratings stabilisation with and without GEP
  16. Mean of ratings stabilisation before 2021 and after 2021
  17. Mean of ratings stabilisation with and without financial resources
  18. Mean of ratings changes country cluster
  19. Mean of ratings stabilisation country cluster
  20. Relevance of the GEP on the achieved positive changes
  21. Correlation between the relevance of the GEP for achieved positive changes and achieved stabilisation

Installation

Make sure you have a recent version of R or RStudio. R version 4.4.3 is recommended.

Install the following required libraries to run script :

install.packages("haven")
install.packages("dplyr")
install.packages("tidyr")
install.packages("ggplot2")
install.packages("readxl")
install.packages("gt")
install.packages("webshot")
install.packages("fmsb")
install.packages("scales")
install.packages("Hmisc")
install.packages("grid")
install.packages("gridExtra")

License

Distributed under the Attribution-NonCommercial-ShareAlike 4.0 International license. Please, see LICENSE.md for more detail.

Owner

  • Name: INSPIRE
  • Login: InspireQualityeu
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this code, make sure cite it as below."
type: software
authors:
  - family-names: "Karataş"
    given-names: "Mazlum"
    orcid: 0000-0002-4096-0212
    affiliation: GESIS - Leibniz-Institute for the Social Sciences
    city: Cologne
    country: DE
    email: mazlum.karatas@gesis.org
title: "gep-survey-data-analysis"
repository-code: 'https://github.com/InspireQualityeu/gep-survey-data-analysis'
url: 'https://www.inspirequality.eu'
license: CC-BY-NC-SA-4.0

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