imos_2014
3,360 responses from 560 respondents to 6 items.
About this table
| Description | International Math Olympiad problems |
|---|
| Licence | CC0 1.0 |
|---|
| Source data | https://www.kaggle.com/datasets/luckyt/imo-scores?select=imo_results.csv |
|---|
Size and shape
| Responses | 3,360 |
|---|
| Respondents | 560 |
|---|
| Items | 6 |
|---|
| Response categories | 8 |
|---|
| Responses per respondent | 6 |
|---|
| Responses per item | 560 |
|---|
| Density | 1 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Mixed |
|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
|---|
| sample | Educational |
|---|
| construct type | Cognitive/educational |
|---|
| measurement tool | Test |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
| construct name | International Math Olympiad problems |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | 55th International Mathematical Olympiad (IMO 2014), Cape Town, South Africa |
|---|
| Mean words per item | 70 |
|---|
| Mean characters per item | 353.167 |
|---|
| Mean characters per response | 2 |
|---|
| Flesch-Kincaid grade level | 9.967 |
|---|
Columns
cov_awardcov_countrycov_rankiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("imos_2014")
# Python
pip install irw
import irw
df = irw.fetch("imos_2014")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse v53.0 |
|---|
| Redivis dataset DOI | 10.57761/4g08-xt41 |
|---|
| Manifest pin for this IRW version | v53.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|