preschool_sel_akt

14,506 responses from 883 respondents to 17 items.

About this table

DescriptionAffect Knowledge Test-Shortened
ReferenceBailey, C. S., Korucu, İrem, Eveleigh, A., Schnur, G., Costello, L., Tuttle, M., Knox-Lane, T., Cassidy, C., Ondrusek, A., McNaboe, T., Mazhar, A., & Xie, F. (2023). Preschool Social and Emotional Development Study—Connecticut Dataset. LDbase. https://doi.org/10.33009/ldbase.1680213217.8ed0
LicenceCC BY 4.0
Source datahttps://ldbase.org/datasets/38d4a723-c167-4908-a250-2cf29a4ff49b

Size and shape

Responses14,506
Respondents883
Items17
Response categories2
Responses per respondent16.428
Responses per item853.294
Density0.966
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Early (<6y)
sampleEducational
construct typeAffective/mental health, Cognitive/educational, Developmental
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameAffect Knowledge Test-Shortened (AKT-S)

Item text

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

InstrumentAffect Knowledge Test-Shortened
Mean words per item5.471
Mean characters per item30.235
Mean characters per response9.333
Flesch-Kincaid grade level-1.744

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("preschool_sel_akt")
# Python
pip install irw

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

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