2,100 responses from 350 respondents to 6 items.
One of 34 tables from the same source; this one is the 1992 table. The others are listed under Related tables.
| Description | International Math Olympiad problems |
|---|---|
| Reference | International Mathematical Olympiad (1992). Individual results, IMO 1992. https://www.imo-official.org/results/individual/year/1992/ . Problem scores (0-7) as compiled by Bai Li (2018), International Mathematical Olympiad (IMO) Scores [Data set], Kaggle, https://www.kaggle.com/datasets/luckyt/imo-scores (CC0), scraped from imo-official.org. |
| Licence | CC0 1.0 |
| Source data | https://www.kaggle.com/datasets/luckyt/imo-scores?select=imo_results.csv |
| Responses | 2,100 |
|---|---|
| Respondents | 350 |
| Items | 6 |
| Response categories | 8 |
| Responses per respondent | 6 |
| Responses per item | 350 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Constructed Response |
| construct name | International Math Olympiad problems |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | International Mathematical Olympiad 1992, official English problem paper (imo-official.org/assets/documents/problems/1992/1992_eng.pdf) |
|---|---|
| Mean words per item | 55.167 |
| Mean characters per item | 267.667 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 10.490 |
This codebook is reconstructed by the IRW from the IRW data standard. 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 | ||
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. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_award | Covariate | not traced |
cov_country | Covariate | not traced |
cov_rank | Covariate | not traced |
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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("imos_1992")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("imos_1992")
@misc{imos_1992,
title = {International Math Olympiad problems},
howpublished = {\url{https://www.kaggle.com/datasets/luckyt/imo-scores?select=imo_results.csv}},
note = {Accessed: 2023-10-01}
}
| IRW version | v540 |
|---|---|
| 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 v37.0 |