amatus_cipora_2024_arithmetic

16,492 responses from 1,102 respondents to 40 items.

About this table

DescriptionThe AMATUS Dataset: Arithmetic Performance, Mathematics Anxiety and Attitudes in Primary School Teachers and University Students
ReferenceCipora, K., Lunardon, M., Masson, N., Georges, C., Nuerk, H., & Artemenko, C. (2025, June 30). The AMATUS Dataset: Arithmetic Performance, Mathematics Anxiety and Attitudes in Primary School Teachers and University Students. Retrieved from osf.io/gszpb
DOI10.5334/jopd.115
LicenceCC BY 4.0
Source datahttps://osf.io/gszpb/overview

Size and shape

Responses16,492
Respondents1,102
Items40
Response categories2
Responses per respondent14.966
Responses per item412.300
Density0.374
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Internet-based
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger, fre
construct nameArithmetic Performance

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentThe AMATUS Dataset: Arithmetic Performance, Mathematics Anxiety and Attitudes in Primary School Teachers and University Students
Mean words per item4
Mean characters per item8.825
Flesch-Kincaid grade level-1.970

Columns

cov_agecov_arith_perf_correct_ordercov_breakscov_devicecov_ease_teaching_languagecov_ease_teaching_mathematicscov_ease_teaching_sciencecov_honestycov_liking_humanitiescov_liking_mathcov_liking_sciencecov_main_focus_humanitiescov_main_focus_literacycov_main_focus_mathematicscov_main_focus_not_applicablecov_main_focus_sciencecov_math_gradecov_math_inf_program_choicecov_math_loadcov_native_speakercov_noisecov_number_main_focicov_persistence_humanitiescov_persistence_mathcov_persistence_sciencecov_preference_teaching_languagecov_preference_teaching_mathematicscov_preference_teaching_sciencecov_samplecov_sexcov_teachercov_teacher_durationcov_teacher_experiencecov_teacher_stagecov_total_time_minutesiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("amatus_cipora_2024_arithmetic")
# Python
pip install irw

import irw
df = irw.fetch("amatus_cipora_2024_arithmetic")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0