jeilani_2024_social_support_family

2,652 responses from 663 respondents to 4 items.

One of 11 tables from the same source; this one measures Social support from family scale (SSF). The others are listed under Related tables.

About this table

DescriptionPerceived social support from family: the MSPSS Family subscale (SSF1, SSF2_001, SSF3, SSF4; 4 items, 1-5); Somali university students N=663
ReferenceJeilani et al. (2024). Mediating role of Social Support and Self-efficiency on Academic stress and Student's Psychological well-being among Public and Private Universities in Mogadishu, Somalia. figshare. doi:10.6084/m9.figshare.26820745.v4
LicenceCC0 1.0
Source datahttps://figshare.com/articles/dataset/26820745

Size and shape

Responses2,652
Respondents663
Items4
Response categories5
Responses per respondent4
Responses per item663
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
construct nameSocial support from family scale (SSF)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, jeilani_2024_academic_stress.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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate made in the build script
cov_genderCovariate made in the build script
cov_universityCovariate made in the build script
cov_yearCovariate 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("jeilani_2024_social_support_family")
# Python
pip install irw

import irw
df = irw.fetch("jeilani_2024_social_support_family")

How to cite

@misc{jeilani2024mediating,
  author = {Jeilani et al.},
  title = {Mediating role of Social Support and Self-efficiency on Academic stress and Student's Psychological well-being among Public and Private Universities in Mogadishu, Somalia},
  year = {2024},
  howpublished = {figshare},
  doi = {10.6084/m9.figshare.26820745.v4},
  url = {https://figshare.com/articles/dataset/26820745}
}

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