iandolo_2021_asq

13,915 responses from 348 respondents to 40 items.

About this table

DescriptionItem-level Attachment Style Questionnaire (ASQ, 40 items, 1-6 Likert) from a cross-cultural comparison of Spanish, Italian, and Japanese young adults; 348 respondents with cov_country/cov_age/cov_gender/cov_romantic_relationship
ReferenceIandolo, Giuseppe (2021). EXPLORATION OF THE SPANISH VERSION OF THE ATTACHMENT STYLE QUESTIONNAIRE: A COMPARATIVE STUDY BETWEEN SPANISH, ITALIAN, AND JAPANESE CULTURE. figshare. Dataset. https://doi.org/10.6084/m9.figshare.13601096.v1
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/EXPLORATION_OF_THE_SPANISH_VERSION_OF_THE_ATTACHMENT_STYLE_QUESTIONNAIRE_A_COMPARATIVE_STUDY_BETWEEN_SPANISH_ITALIAN_AND_JAPANESE_CULTURE/13601096

Size and shape

Responses13,915
Respondents348
Items40
Response categories6
Responses per respondent39.986
Responses per item347.875
Density1.000
LongitudinalFALSE

Classification

age rangeAdult (18+)
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.

InstrumentAttachment Style Questionnaire (ASQ; Feeney, Noller & Hanrahan, 1994) -- Spanish version
Mean words per item10.225
Mean characters per item53.275
Mean characters per response2
Flesch-Kincaid grade level5.506

Columns

cov_agecov_countrycov_gendercov_romantic_relationshipiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("iandolo_2021_asq")
# Python
pip install irw

import irw
df = irw.fetch("iandolo_2021_asq")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0