kern_2021_happiness

1,050 responses from 350 respondents to 3 items.

One of 5 tables from the same source; this one is the happiness table. The others are listed under Related tables.

About this table

DescriptionSubjective Happiness Scale (SHS) from Positive Education Tertiary course evaluation; N=350, 3 items, 1-7 Likert
ReferenceYang et al. (2021). Positive education in the tertiary setting: a case study evaluation of a compulsory year one course to develop [Dataset]. Figshare. DOI: 10.6084/m9.figshare.14870235.v1
LicenceCC0 1.0
Source datahttps://figshare.com/articles/dataset/14870235

Size and shape

Responses1,050
Respondents350
Items3
Response categories7
Responses per respondent3
Responses per item350
Density1
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kern_2021_positive_edu.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kern_2021_happiness")
# Python
pip install irw

import irw
df = irw.fetch("kern_2021_happiness")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.14870235.v1,
  doi = {10.6084/M9.FIGSHARE.14870235.V1},
  url = {https://figshare.com/articles/dataset/Positive_education_in_the_tertiary_setting_a_case_study_evaluation_of_a_compulsory_year_one_course_to_develop_sense_of_purpose_leadership_self-management_emotional_intelligence_thinking_skills_and_positive_emotions/14870235/1},
  author = {Yang, Gan Tzyy and Beevi, Zuhrah and Low, Jasmine and Lee, J.Peter and Hall, Deborah A.},
  keywords = {170199 Psychology not elsewhere classified, FOS: Psychology},
  title = {Positive education in the tertiary setting: a case study evaluation of a compulsory year one course to develop sense of purpose, leadership, self-management, emotional intelligence, thinking skills and positive emotions},
  publisher = {figshare},
  year = {2021},
  copyright = {Creative Commons Zero v1.0 Universal}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v43.0