34,999 responses from 300 respondents to 8 items.
| Description | Momentary affect at school (enjoyment, stress, motivation, anger, feeling liked, loneliness, alertness, feeling stupid), 8 items on a labelled 1-5 scale, Finnish middle- and upper-secondary school students, one response per momentary assessment with wave giving the study's occasion order. 34,999 responses from 300 respondents on 8 items. |
|---|---|
| Reference | Soderberg, P., & Molsa, M. E. (2024). A 10-day experience sampling dataset on subjective experiences of middle and secondary school students in 2022 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13332148 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/13332148 |
| Responses | 34,999 |
|---|---|
| Respondents | 300 |
| Items | 8 |
| Response categories | 5 |
| Responses per respondent | 116.663 |
| Responses per item | 4374.875 |
| Density | 14.583 |
| Longitudinal | TRUE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Momentary affect and school experience (experience sampling) |
|---|---|
| Mean words per item | 3.250 |
| Mean characters per item | 14.500 |
| Mean characters per response | 7.600 |
| Flesch-Kincaid grade level | 1.562 |
cov_edulevelcov_genderiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("soderberg_2024_esm_affect")
# Python
pip install irw
import irw
df = irw.fetch("soderberg_2024_esm_affect")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |