589,430 responses from 32,950 respondents to 10 items.
| Description | Student financial proficiency |
|---|---|
| Reference | Bruhn, M., de Souza Leão, L., Legovini, A., Marchetti, R., & Zia, B. (2016). The impact of high school financial education: Evidence from a large-scale evaluation in Brazil. American Economic Journal: Applied Economics, 8(4), 256-295. Bruhn, Miriam, Leão, Luciana de Souza, Legovini, Arianna, Marchetti, Rogelio, and Zia, Bilal. Replication data for: The Impact of High School Financial Education: Evidence from a Large-Scale Evaluation in Brazil. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116339V1 |
| Licence | CC BY 4.0 |
| Source data | https://www.openicpsr.org/openicpsr/project/116339/version/V1/view |
| Responses | 589,430 |
|---|---|
| Respondents | 32,950 |
| Items | 10 |
| Response categories | 2 |
| Responses per respondent | 17.889 |
| Responses per item | 58,943 |
| Density | 1.789 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational, Representative |
| construct type | Behavioral, Cognitive/educational, Opinion/attitude |
| measurement tool | Survey/questionnaire, Test |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Student financial proficiency |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_06.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 | ||
block_id | IRW standard The level above cluster_id — in a randomised design, the block or stratum within which assignment was made (treat varies within a block, and clusters nest in blocks). | pair_all |
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | cd_escola |
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). | not traced |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | not traced |
treat | IRW standard Treatment group assignment in experimental studies. | treatment |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_dad_ed | Covariate | dumm_rp_09_bl |
cov_female | Covariate | female_coded |
cov_home_computer | Covariate | dumm_rp_23_bl |
cov_mom_ed | Covariate | dumm_rp_08_bl |
cov_retained | Covariate | dumm_rp_24_bl |
cov_unemployed | Covariate | dumm_rp_49_bl |
cov_welfare | Covariate | dumm_rp_14_bl |
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("gilbert_meta_6")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_6")
@misc{https://doi.org/10.3886/e116339v1,
doi = {10.3886/E116339V1},
url = {https://www.openicpsr.org/openicpsr/project/116339/version/V1/view},
author = {Bruhn, Miriam and Leão, Luciana De Souza and Legovini, Arianna and Marchetti, Rogelio and Zia, Bilal},
title = {Replication data for: The Impact of High School Financial Education: Evidence from a Large-Scale Evaluation in Brazil},
publisher = {ICPSR - Interuniversity Consortium for Political and Social Research},
year = {2016}
}
| IRW version | v549 |
|---|---|
| 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 v39.0 |