imos_2017
3,690 responses from 615 respondents to 6 items.
About this table
| Description | International Math Olympiad problems |
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| Licence | CC0 1.0 |
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| Source data | https://www.kaggle.com/datasets/luckyt/imo-scores?select=imo_results.csv |
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Size and shape
| Responses | 3,690 |
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| Respondents | 615 |
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| Items | 6 |
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| Response categories | 8 |
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| Responses per respondent | 6 |
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| Responses per item | 615 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Mixed |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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| sample | Educational |
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| construct type | Cognitive/educational |
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| measurement tool | Test |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | International Math Olympiad problems |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | 58th International Mathematical Olympiad (IMO 2017), Rio de Janeiro, Brazil |
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| Mean words per item | 90 |
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| Mean characters per item | 439.833 |
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| Mean characters per response | 2 |
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| Flesch-Kincaid grade level | 9.290 |
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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_2017")
# Python
pip install irw
import irw
df = irw.fetch("imos_2017")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse v53.0 |
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| Redivis dataset DOI | 10.57761/4g08-xt41 |
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| Manifest pin for this IRW version | v53.0 |
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| Metadata source | irw_meta v23.0 |
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