preschool_sel_pl

19,036 responses from 965 respondents to 39 items.

About this table

DescriptionpreLAS: The English Language Proficiency Assessment for Early Learners:
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

Responses19,036
Respondents965
Items39
Response categories2
Responses per respondent19.726
Responses per item488.103
Density0.506
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Early (<6y)
sampleEducational
construct typeAffective/mental health, Cognitive/educational, Developmental
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng, spa
construct namepreLAS: The English Language Proficiency Assessment for Early Learners

Item text

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

InstrumentpreLAS: The English Language Proficiency Assessment for Early Learners:
Mean words per item3.436
Mean characters per item15.821
Mean characters per response8.282
Flesch-Kincaid grade level-0.705

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_pl")
# Python
pip install irw

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

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