8,423 responses from 351 respondents to 24 items.
| Description | Algebraic word problem-solving achievement test: six problems each rubric-scored on four Polya domains (understanding 0-2, planning 0-2, carrying out 0-4, looking back 0-2), 24 scores, 351 Namibian secondary-school learners in ten schools; item_family = problem, cluster_id = school; cov_gender, cov_home_language, cov_field. |
|---|---|
| Reference | Iilonga, H., & Ogbonnaya, U. (2023). Algebraic word problem solving achievement test and strategies [Data set]. University of Pretoria. https://doi.org/10.25403/UPresearchdata.23634318.v1 |
| Licence | CC BY 4.0 |
| Source data | https://researchdata.up.ac.za/articles/dataset/Algebraic_word_problem_solving_achievement_test_and_strategies/23634318 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 8,423 |
|---|---|
| Respondents | 351 |
| Items | 24 |
| Response categories | 5 |
| Responses per respondent | 23.997 |
| Responses per item | 350.958 |
| Density | 1.000 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Constructed Response |
| primary language(s) | eng |
| construct name | Algebraic word problem-solving achievement test (Polya-domain rubric scores) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, iilonga_2023_algebra_word_problems.py. 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. | made in the build script |
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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
item_family | IRW standard Groups items that may violate local independence — testlets, clones, or clusters of similar items. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_field | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_home_language | Covariate | made in the build script |
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("iilonga_2023_algebra_word_problems")
# Python
pip install irw
import irw
df = irw.fetch("iilonga_2023_algebra_word_problems")
@misc{https://doi.org/10.25403/upresearchdata.23634318.v1,
doi = {10.25403/UPRESEARCHDATA.23634318.V1},
url = {https://researchdata.up.ac.za/articles/dataset/Algebraic_word_problem_solving_achievement_test_and_strategies/23634318/1},
author = {Iilonga, Hesekiel and Ogbonnaya, Ugorji},
keywords = {Other education not elsewhere classified},
title = {Algebraic word problem solving achievement test and strategies},
publisher = {University of Pretoria},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |