baaziz_2023_sms2

14,040 responses from 780 respondents to 18 items.

About this table

Description	18-item Arabic Revised Sport Motivation Scale (SMS-II, 1-7 Likert) from a transcultural validation study of Tunisian athletes
Reference	Baaziz M, Aloui A, Tayech A, Stults-Kolehmainen M, Mejri MA, Ben Abderrahman A (2023) Transcultural validation of the 'revised sport motivation scale' (SMS-II) in Arabic language: Exploratory study on motivation in sport for a sample of Tunisian Athletes. PLoS ONE.
DOI	10.1371/journal.pone.0295262
Licence	CC0 1.0
Source data	https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0295262.s003

Size and shape

Responses	14,040
Respondents	780
Items	18
Response categories	7
Responses per respondent	18
Responses per item	780
Density	1
Longitudinal	FALSE

Classification

age range	Mixed
child age (for child-focused studies)	Adolescent (12-18y)
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	ara

Item text

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

Instrument	Revised Sport Motivation Scale (SMS-II), Arabic version
Mean words per item	12.500
Mean characters per item	63.611
Mean characters per response	4.857
Flesch-Kincaid grade level	5.753

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, baaziz_2023_sms2.py. 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).	`identifiant`
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`Age`
`cov_age_group`	Covariate	`recoded.Age`
`cov_gender`	Covariate	`Sexe`
`cov_region`	Covariate	`Region`
`cov_sport`	Covariate	`sport`

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:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("baaziz_2023_sms2")

# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("baaziz_2023_sms2")

How to cite

@article{Baaziz_2023, title={Transcultural validation of the “revised sport motivation scale” (SMS‐II) in Arabic language: Exploratory study on motivation in sport for a sample of Tunisian Athletes}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0295262}, DOI={10.1371/journal.pone.0295262}, number={11}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Baaziz, Mohamed and Aloui, Ali and Tayech, Amel and Stults-Kolehmainen, Matthew and Mejri, Mohamed Arbi and Ben Abderrahman, Abderraouf}, editor={Lin, Chung-Ying}, year={2023}, month=Nov, pages={e0295262} }

Version and provenance

IRW version	v540
Redivis dataset	item_response_warehouse_4 v13.0
Redivis dataset DOI	10.57761/w8zx-td92
Manifest pin for this IRW version	v13.0
Metadata source	irw_meta v37.0