5,530 responses from 1,106 respondents to 5 items.
| 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 |
| Responses | 5,530 |
|---|---|
| Respondents | 1,106 |
| Items | 5 |
| Response categories | 4 |
| Responses per respondent | 5 |
| Responses per item | 1,106 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Internet-based |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger, fre |
| construct name | State-Trait Anxiety Inventory |
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 | 3.800 |
| Mean characters per item | 17.600 |
| Mean characters per response | 6 |
| Flesch-Kincaid grade level | 1.418 |
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
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_stai")
# Python
pip install irw
import irw
df = irw.fetch("amatus_cipora_2024_stai")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |