About this table

Description	The AMATUS Dataset: Arithmetic Performance, Mathematics Anxiety and Attitudes in Primary School Teachers and University Students
Reference	Cipora, 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
DOI	10.5334/jopd.115
Licence	CC BY 4.0
Source data	https://osf.io/gszpb/overview

Size and shape

Responses	4,424
Respondents	1,106
Items	4
Response categories	4
Responses per respondent	4
Responses per item	1,106
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Educational, Internet-based
construct type	Cognitive/educational
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	ger, fre
construct name	Math Self-Concept

Item text

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

Instrument	The AMATUS Dataset: Arithmetic Performance, Mathematics Anxiety and Attitudes in Primary School Teachers and University Students
Mean words per item	8.500
Mean characters per item	51.250
Mean characters per response	9
Flesch-Kincaid grade level	8.896

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, amatus_cipora_2024.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
`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).	`id_unique`
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	made in the build script
`cov_arith_perf_correct_order`	Covariate	made in the build script
`cov_breaks`	Covariate	made in the build script
`cov_device`	Covariate	made in the build script
`cov_ease_teaching_language`	Covariate	made in the build script
`cov_ease_teaching_mathematics`	Covariate	made in the build script
`cov_ease_teaching_science`	Covariate	made in the build script
`cov_honesty`	Covariate	made in the build script
`cov_liking_humanities`	Covariate	made in the build script
`cov_liking_math`	Covariate	made in the build script
`cov_liking_science`	Covariate	made in the build script
`cov_main_focus_humanities`	Covariate	made in the build script
`cov_main_focus_literacy`	Covariate	made in the build script
`cov_main_focus_mathematics`	Covariate	made in the build script
`cov_main_focus_not_applicable`	Covariate	made in the build script
`cov_main_focus_science`	Covariate	made in the build script
`cov_math_grade`	Covariate	made in the build script
`cov_math_inf_program_choice`	Covariate	made in the build script
`cov_math_load`	Covariate	made in the build script
`cov_native_speaker`	Covariate	made in the build script
`cov_noise`	Covariate	made in the build script
`cov_number_main_foci`	Covariate	made in the build script
`cov_persistence_humanities`	Covariate	made in the build script
`cov_persistence_math`	Covariate	made in the build script
`cov_persistence_science`	Covariate	made in the build script
`cov_preference_teaching_language`	Covariate	made in the build script
`cov_preference_teaching_mathematics`	Covariate	made in the build script
`cov_preference_teaching_science`	Covariate	made in the build script
`cov_sample`	Covariate	made in the build script
`cov_sex`	Covariate	made in the build script
`cov_teacher`	Covariate	made in the build script
`cov_teacher_duration`	Covariate	made in the build script
`cov_teacher_experience`	Covariate	made in the build script
`cov_teacher_stage`	Covariate	made in the build script
`cov_total_time_minutes`	Covariate	made in the build script

What item codes and covariate values stand for is in the source’s codebook, AMATUS_codebook.xlsx.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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("amatus_cipora_2024_sdq_m")

# Python
pip install irw

import irw
df = irw.fetch("amatus_cipora_2024_sdq_m")

How to cite

@article{Cipora_2024, title={The AMATUS Dataset: Arithmetic Performance, Mathematics Anxiety and Attitudes in Primary School Teachers and University Students}, volume={12}, ISSN={2050-9863}, url={http://dx.doi.org/10.5334/jopd.115}, DOI={10.5334/jopd.115}, journal={Journal of Open Psychology Data}, publisher={Ubiquity Press, Ltd.}, author={Cipora, Krzysztof and Lunardon, Maristella and Masson, Nicolas and Georges, Carrie and Nuerk, Hans-Christoph and Artemenko, Christina}, year={2024} }

Version and provenance

IRW version	v549
Redivis dataset	item_response_warehouse_2 v33.0
Redivis dataset DOI	10.57761/6m04-m698
Manifest pin for this IRW version	v33.0
Metadata source	irw_meta v39.0

amatus_cipora_2024_sdq_m