florida_twins_behavior_ecs

106,442 responses from 1,387 respondents to 48 items.

About this table

DescriptionThe Effortful Control Scale (ECS) evaluates traits related to impulsivity and behavioral regulation.
ReferenceSchatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20
LicenceCC BY 4.0
Source datahttps://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20

Size and shape

Responses106,442
Respondents1,387
Items48
Response categories5
Responses per respondent76.743
Responses per item2217.542
Density1.599
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Child (6-12y), Adolescent (12-18y)
sampleEducational, Representative, Targeted/specific
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameEffortful Control Scale (ECS)

Item text

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

InstrumentThe Effortful Control Scale (ECS) evaluates traits related to impulsivity and behavioral regulation.
Mean words per item10.625
Mean characters per item57.771
Mean characters per response8
Flesch-Kincaid grade level4.858

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("florida_twins_behavior_ecs")
# Python
pip install irw

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

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