929 responses from 312 respondents to 3 items.
One of 3 tables from the same source; this one measures Non Persian Proficiency. The others are listed under Related tables.
| Description | Cross-cultural adaptation of the Language and Social Background Questionnaire: Psychometric properties emerging from the Persian version |
|---|---|
| Reference | Maleki, M., Jahanjoo, F., Shibafar, S. et al. Cross-cultural adaptation of the Language and Social Background Questionnaire: Psychometric properties emerging from the Persian version. Behav Res 57, 346 (2025). https://doi.org/10.3758/s13428-025-02831-y |
| DOI | 10.3758/s13428-025-02831-y |
| Licence | CC BY 4.0 |
| Source data | https://github.com/maleki1404/Bilingualism_LSBQ/tree/main |
| Responses | 929 |
|---|---|
| Respondents | 312 |
| Items | 3 |
| Response categories | 89 |
| Responses per respondent | 2.978 |
| Responses per item | 309.667 |
| Density | 0.993 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Representative |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Slider/continuous |
| primary language(s) | per |
| construct name | Non Persian Proficiency |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lsbq_maleki_2025.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). | record.number |
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 | made in the build script |
cov_age_group | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_handedness | Covariate | made in the build script |
cov_high_school_age | Covariate | 18.4 |
cov_infancy | Covariate | 18.1 |
cov_mono_or_bi_or_multi_selfreport | Covariate | made in the build script |
cov_occupation_stu | Covariate | made in the build script |
cov_preschool_age | Covariate | 18.2 |
cov_primary_school_age | Covariate | 18.3 |
cov_tabriz_tehran | Covariate | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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("lsbq_maleki_2025_non_persian_proficiency")
# Python
pip install irw
import irw
df = irw.fetch("lsbq_maleki_2025_non_persian_proficiency")
@article{Maleki_2025, title={Cross-cultural adaptation of the Language and Social Background Questionnaire: Psychometric properties emerging from the Persian version}, volume={57}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-025-02831-y}, DOI={10.3758/s13428-025-02831-y}, number={12}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Maleki, Mehri and Jahanjoo, Fatemeh and Shibafar, Samin and Karimijavan, Gelavizh and Torabi, Mohammad Hassan and Jarollahi, Farnoush}, year={2025}, month=nov }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v40.0 |