estcrm_epia

5,165 responses from 1,033 respondents to 5 items.

About this table

DescriptionEysenck Personality Inventory Impulsivity Subscale
ReferenceFerrando, P.J.(2002). Theoretical and Empirical Comparison between Two Models for Continuous Item Responses. Multivariate Behavioral Research, 37(4), 521-542.
DOI10.1207/S15327906MBR3704_05
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/EstCRM/index.html

Size and shape

Responses5,165
Respondents1,033
Items5
Response categories111
Responses per respondent5
Responses per item1,033
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameEysenck Personality Inventory – Impulsivity Subscale

Item text

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

InstrumentEysenck Personality Inventory Impulsivity Subscale
Mean words per item7.600
Mean characters per item40.600
Mean characters per response2.027
Flesch-Kincaid grade level2.883

Columns

iditemresp

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("estcrm_epia")
# Python
pip install irw

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

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0