929 responses from 312 respondents to 3 items.
| 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 |
cov_agecov_age_groupcov_gendercov_handednesscov_high_school_agecov_infancycov_mono_or_bi_or_multi_selfreportcov_occupation_stucov_preschool_agecov_primary_school_agecov_tabriz_tehraniditemresp
Or load it directly in R or Python:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |