8,862,532 responses from 633,038 respondents to 11 items.
| Description | Items from Tanzanian Form Two National Assessment & Primary School Leaving Examination |
|---|---|
| Reference | Brandt, Kasper, 2022, "Replication Data for: When Private Beats Public: A Flexible Value-Added Model with Tanzanian School Switchers", https://doi.org/10.7910/DVN/UMNYYR, Harvard Dataverse, V1, UNF:6:/7r9mSRgjyqiFqRGtLx/og== [fileUNF] Brandt, K. (2023). When private beats public: A flexible value-added model with Tanzanian school switchers. Economic Development and Cultural Change, 72(1), 159-206. |
| DOI | 10.1086/718893 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/file.xhtml?fileId=5429719&version=1.0 |
| Responses | 8,862,532 |
|---|---|
| Respondents | 633,038 |
| Items | 11 |
| Response categories | 5 |
| Responses per respondent | 14 |
| Responses per item | 805684.727 |
| Density | 1.273 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | swa, eng |
| construct name | Items from Tanzanian Form Two National Assessment & Primary School Leaving Examination |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Tanzanian national school examinations: Primary School Leaving Examination (PSLE) and Form Two National Assessment (FTNA) |
|---|---|
| Mean words per item | 1.091 |
| Mean characters per item | 8.455 |
| Mean characters per response | 1 |
| Flesch-Kincaid grade level | 18.269 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ftna_kasper_2022.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 | ||
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | school_id |
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). | id_ftna |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_female | Covariate | female |
cov_private | Covariate | private |
cov_year | Covariate | year |
What item codes and covariate values stand for is in the codebook released with the source data.
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
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("ftna_kasper_2022")
# Python
pip install irw
import irw
df = irw.fetch("ftna_kasper_2022")
@article{Brandt_2023, title={When Private Beats Public: A Flexible Value-Added Model with Tanzanian School Switchers}, volume={72}, ISSN={1539-2988}, url={http://dx.doi.org/10.1086/718893}, DOI={10.1086/718893}, number={1}, journal={Economic Development and Cultural Change}, publisher={University of Chicago Press}, author={Brandt, Kasper}, year={2023}, month=oct, pages={159–206} }
| 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 |