florida_twins_auth

115,306 responses from 1,356 respondents to 100 items.

About this table

DescriptionThe Book Authors measure assesses a child's recognition of real authors and determines whether their knowledge comes from reading the authors' work.
ReferenceHart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec
LicenceCC BY 4.0
Source datahttps://ldbase.org/datasets/3f7033dd-47a5-4ef8-aeab-08a559dce0d1

Size and shape

Responses115,306
Respondents1,356
Items100
Response categories2
Responses per respondent85.034
Responses per item1153.060
Density0.850
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Child (6-12y), Adolescent (12-18y)
sampleEducational, Representative, Targeted/specific
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameBook Authors

Item text

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

InstrumentThe Book Authors measure assesses a child's recognition of real authors and determines whether their knowledge comes from reading the authors' work.
Mean words per item2.080
Mean characters per item12.960
Mean characters per response24.750
Flesch-Kincaid grade level6.566

Columns

cov_ageiditemrespwave

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_auth")
# Python
pip install irw

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

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