71,900 responses from 8,988 respondents to 4 items.
| Description | Indebtedness in an RCT |
|---|---|
| Reference | Hoffmann, V., Rao, V., Datta, U., Sanyal, P., Surendra, V., & Majumdar, S. (2018). Poverty and empowerment impacts of the Bihar rural livelihoods project in India. International Initiative for Impact Evaluation (3ie), New Delhi. Datta, Upamanyu; Rao, Vijayendra, 2018, "Jeevika Livelihoods Project Phase 2 Evaluation (RCT), Bihar, India - Baseline and Endline Household And Village Data 2011-2014", https://doi.org/10.7910/DVN/6PAHVM, Harvard Dataverse, V1, UNF:6:3gYkrCWUL5FVEpKCSMQXaA== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/6PAHVM |
| Responses | 71,900 |
|---|---|
| Respondents | 8,988 |
| Items | 4 |
| Response categories | 2 |
| Responses per respondent | 8.000 |
| Responses per item | 17,975 |
| Density | 2.000 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | hin |
| construct name | indebtedness (RCT household debt module, Jeevika) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Indebtedness in an RCT |
|---|---|
| Mean words per item | 3.500 |
| Mean characters per item | 21.750 |
| Mean characters per response | 2.500 |
| Flesch-Kincaid grade level | 9.375 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_63.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). | made in the build script |
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | panch_code |
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. | status |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_female_head | Covariate | BL_head_gender |
cov_household_size | Covariate | BL_num_mem |
cov_owns_land | Covariate | BL_land |
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_63")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_63")
@misc{https://doi.org/10.7910/dvn/6pahvm,
doi = {10.7910/DVN/6PAHVM},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/6PAHVM},
author = {Datta, Upamanyu and Rao, Vijayendra},
keywords = {Social Sciences, cluster-randomized trial, Poverty and empowerment impact, India},
title = {Jeevika Livelihoods Project Phase 2 Evaluation (RCT), Bihar, India - Baseline and Endline Household And Village Data 2011-2014},
publisher = {Harvard Dataverse},
year = {2018}
}
| 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 |