close_relationships

1,853,676 responses from 51,491 respondents to 36 items.

One of 23 tables from the same source. The others are listed under Related tables.

About this table

DescriptionData from an interactive version of the Experinces in Close Relationships Scale by Kelly Brennan, Catherine Clark and Phillip Shaver.
Reference(2018). Experiences in Close Relationships Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/ECR-data-1March2018.zip
LicenceCC BY 4.0
Source datahttp://openpsychometrics.org/_rawdata/

Size and shape

Responses1,853,676
Respondents51,491
Items36
Response categories5
Responses per respondent36
Responses per item51,491
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameExperiences in Close Relationships Scale

Item text

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

InstrumentExperiences in Close Relationships Scale (ECR)
Mean words per item11.333
Mean characters per item60.361
Mean characters per response14
Flesch-Kincaid grade level6.178

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, close_relationships.R. 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 source’s codebook, codebook.html (inside ECR-data-1March2018.zip).

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("close_relationships")
# Python
pip install irw

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

How to cite

@misc{ECR2018,
  title = {Experiences in Close Relationships Scale [dataset and codebook]},
  year = {2018},
  url = {http://openpsychometrics.org/_rawdata/ECR-data-1March2018.zip},
  note = {Retrieved from http://openpsychometrics.org/_rawdata/}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v39.0