7,835 responses from 295 respondents to 27 items.
| Description | Math anxiety, math teaching anxiety (19 items; Hunt & Sari 2019), and math confidence (6 items) in trainee teachers (England) |
|---|---|
| Reference | Stenhouse R et al. (2026). Mathematics anxiety and mathematics teaching anxiety in trainee teachers survey data. Manchester Metropolitan University. https://doi.org/10.23634/mmu.00644376 |
| DOI | 10.23634/mmu.00644376 |
| Licence | CC BY 4.0 |
| Source data | https://e-space.mmu.ac.uk/id/eprint/644376 |
| Responses | 7,835 |
|---|---|
| Respondents | 295 |
| Items | 27 |
| Response categories | 9 |
| Responses per respondent | 26.559 |
| Responses per item | 290.185 |
| Density | 0.984 |
| Longitudinal | FALSE |
| sample | Educational, Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Mathematics anxiety and mathematics teaching anxiety in trainee teachers survey (Stenhouse, Hyde & Parr, 2026): mathematics confidence items, maths anxiety rating, Mathematics Teaching Anxiety Scale (Hunt & Sari, 2019), maths teaching anxiety rating |
|---|---|
| Mean words per item | 12.291 |
| Mean characters per item | 74.702 |
| Mean characters per response | 5.723 |
| Flesch-Kincaid grade level | 8.491 |
cov_agecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("stenhouse_2026_math_anxiety")
# Python
pip install irw
import irw
df = irw.fetch("stenhouse_2026_math_anxiety")
| 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 |