clemente_2024_sd4

11,592 responses from 414 respondents to 28 items.

One of 4 tables from the same source; this one is the sd4 table. The others are listed under Related tables.

About this table

DescriptionShort Dark Tetrad (SD4; Spanish), 28 items (Machiavellianism, narcissism, psychopathy, sadism), 1-5. 414 divorced parents and members of the children's extended families in Spain (259) and Peru (155), Spanish administration.
ReferenceClemente M, Espinosa P, Aguilar-Valera JA, Guevara-Cordero C (2024). The Eye of the Beholder: Attitudes toward divorced parents and perception of children's happiness in Peru and Spain. Heliyon, 10(16), e36260. https://doi.org/10.1016/j.heliyon.2024.e36260
DOI10.1016/j.heliyon.2024.e36260
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.23537073

Size and shape

Responses11,592
Respondents414
Items28
Response categories5
Responses per respondent28
Responses per item414
Density1
LongitudinalFALSE

Classification

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

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentShort Dark Tetrad (SD4; Paulhus et al., 2021), Spanish version
Mean words per item8.786
Mean characters per item45.786
Mean characters per response20.800
Flesch-Kincaid grade level4.470

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, clemente_2024_divorced_parents.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
Respondent covariates
cov_ageCovariate Age
cov_child_ageCovariate Child_age
cov_child_lives_father_or_bothCovariate 1 = Father only · 2 = no · 3 = Both parentsLives_with_father_or_both
cov_child_lives_mother_or_bothCovariate 1 = Mother only · 2 = no · 3 = Both parentsLives_with_mother_or_both
cov_child_lives_with_fatherCovariate 1 = Yes · 2 = NoLives_with_father
cov_child_lives_with_motherCovariate 1 = Yes · 2 = NoLives_with_mother
cov_countryCovariate 1 = Spain · 2 = PeruSAMPLE
cov_educationCovariate 1 = Primary · 2 = Secondary · 4 = Vocational training · 5 = University graduate · 6 = University postgraduateEducation
cov_genderCovariate 1 = Male · 2 = FemaleGender
cov_nationalityCovariate 1 = Peruana · 2 = Española · 3 = OtraNationality
cov_relation_by_genderCovariate 1 = Father · 2 = Mother · 3 = Other, male · 4 = Other_femaleRelación_by_gender
cov_relation_to_childCovariate 1 = Parent · 2 = OtherRelation_to_child
cov_religionCovariate 1 = Agnostic · 2 = Atheist · 4 = Catholic · 5 = Ortodox · 6 = Islam · 7 = Protestant · 8 = OtherReligion

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("clemente_2024_sd4")
# Python
pip install irw

import irw
df = irw.fetch("clemente_2024_sd4")

How to cite

@article{Clemente_2024, title={The Eye of the Beholder: Attitudes toward divorced parents and perception of children’s happiness in Peru and Spain}, volume={10}, ISSN={2405-8440}, url={http://dx.doi.org/10.1016/j.heliyon.2024.e36260}, DOI={10.1016/j.heliyon.2024.e36260}, number={16}, journal={Heliyon}, publisher={Elsevier BV}, author={Clemente, Miguel and Espinosa, Pablo and Aguilar-Valera, J. Alonso and Guevara-Cordero, Claudia}, year={2024}, month=Aug, pages={e36260} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0