48,773 responses from 1,610 respondents to 18 items.
| Description | Social trust in an RCT |
|---|---|
| Reference | Aladysheva, A., Asylbek Kyzy, G., Brück, T., Esenaliev, D., Karabaeva, J., Leung, W., & Nillesen, E. (2019). Impact evaluation of the Livingsidebyside peacebuilding educational programme in Kyrgyzstan. Grantee Final Report. Esenaliev, Damir; Aladysheva, Anastasia; Asylbek kyzy, Gulzhan; Brück, Tilman; Karabaeva, Jamilya; Leung, Winnie; Nillesen, Eleonora, 2019, "Impact evaluation of the Livingsidebyside peacebuilding educational programme in Kyrgyzstan", https://doi.org/10.7910/DVN/L3TSNX, Harvard Dataverse, V1, UNF:6:7/93oxdKPTID2wgRdrVjXw== [fileUNF] |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/L3TSNX |
| Responses | 48,773 |
|---|---|
| Respondents | 1,610 |
| Items | 18 |
| Response categories | 5 |
| Responses per respondent | 30.294 |
| Responses per item | 2709.611 |
| Density | 1.683 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Behavioral, Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | rus |
| construct name | Social Trust and Intergroup Cooperation in a Peacebuilding Educational Program |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Social trust in an RCT |
|---|---|
| Mean words per item | 6.904 |
| Mean characters per item | 40.410 |
| Mean characters per response | 10.747 |
| Flesch-Kincaid grade level | 6.610 |
cov_agecov_ethnic_minoritycov_kyrgyzcov_malecov_other_ethcov_uzbekiditemrresptreatwave
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_33")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_33")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |