EEEDPRM_Bulut_2021

9,610 responses from 961 respondents to 10 items.

About this table

Description	Rosenberg Self-Esteem Scale
Reference	Bulut, O., Gorgun, G., & Yildirim-Erbasli, S. N. (2021). Estimating explanatory extensions of dichotomous and polytomous Rasch models: The eirm package in R. Psych, 3(3), 308-321.
DOI	10.3390/psych3030023
Licence	CC BY 4.0
Source data	https://osf.io/eapd8/

Size and shape

Responses	9,610
Respondents	961
Items	10
Response categories	4
Responses per respondent	10
Responses per item	961
Density	1
Longitudinal	FALSE

Classification

age range	Mixed
child age (for child-focused studies)	Adolescent (12-18y)
construct type	Cognitive/educational
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Rosenberg Self-Esteem Scale

Item text

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

Instrument	Rosenberg Self-Esteem Scale
Mean words per item	10.200
Mean characters per item	46.400
Mean characters per response	11
Flesch-Kincaid grade level	3.080

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, EEEDPRM_Bulut_2021.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	`person`
`item`	IRW standard Item identifier.	not traced
`resp`	IRW standard Response value.	`response`
Respondent covariates
`cov_age`	Covariate	not traced
`cov_gender`	Covariate	not traced
Other columns
`position`	Not documented Not documented by the IRW; see the source’s codebook.	not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("EEEDPRM_Bulut_2021")

# Python
pip install irw

import irw
df = irw.fetch("EEEDPRM_Bulut_2021")

How to cite

@article{Bulut_2021, title={Estimating Explanatory Extensions of Dichotomous and Polytomous Rasch Models: The eirm Package in R}, volume={3}, ISSN={2624-8611}, url={http://dx.doi.org/10.3390/psych3030023}, DOI={10.3390/psych3030023}, number={3}, journal={Psych}, publisher={MDPI AG}, author={Bulut, Okan and Gorgun, Guher and Yildirim-Erbasli, Seyma Nur}, year={2021}, month=jul, pages={308–321} }

Version and provenance

IRW version	v566
Redivis dataset	item_response_warehouse v70.0
Redivis dataset DOI	10.57761/4qxs-pq87
Manifest pin for this IRW version	v70.0
Metadata source	irw_meta v43.0