141,392 responses from 218 respondents to 4 items.
One of 2 tables from the same source; this one is the state_self_esteem table. The others are listed under Related tables.
| Description | State self-esteem as an EMA, 4 items from the State Self-Esteem Scale, 1 (not at all) to 5 (extremely): right now I worry what others think of me, am pleased with my appearance, feel as smart as others, feel good about myself overall. 218 people, 35,348 reports. College Experience Study EMA, Dartmouth undergraduates, 2017-09 to 2022-07; about one report every six days per person. wave is each person's report number in date order (shared by nepal_2024_phq4 and nepal_2024_state_self_esteem); date is the report's calendar date (Unix seconds, 00:00 UTC; no time of day). No covariates. |
|---|---|
| Reference | Nepal, S., Liu, W., Pillai, A., Wang, W., Vojdanovski, V., Huckins, J. F., Rogers, C., Meyer, M. L., & Campbell, A. T. (2024). Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(1), 1-37. |
| DOI | 10.1145/3643501 |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://zenodo.org/records/22953080 |
These data were found via openESM, where additional metadata for this dataset are available.
| Responses | 141,392 |
|---|---|
| Respondents | 218 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 648.587 |
| Responses per item | 35,348 |
| Density | 162.147 |
| Longitudinal | TRUE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | State Self-Esteem Scale, four items |
|---|---|
| Mean words per item | 1 |
| Mean characters per response | 9.600 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, nepal_2024_college_experience.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 | ||
date | IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute). | made in the build script |
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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
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("nepal_2024_state_self_esteem")
# Python
pip install irw
import irw
df = irw.fetch("nepal_2024_state_self_esteem")
@article{Nepal_2024, title={Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic}, volume={8}, ISSN={2474-9567}, url={http://dx.doi.org/10.1145/3643501}, DOI={10.1145/3643501}, number={1}, journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies}, publisher={Association for Computing Machinery (ACM)}, author={Nepal, Subigya and Liu, Wenjun and Pillai, Arvind and Wang, Weichen and Vojdanovski, Vlado and Huckins, Jeremy F. and Rogers, Courtney and Meyer, Meghan L. and Campbell, Andrew T.}, year={2024}, month=Mar, pages={1–37} }
This table was found via openESM; please also cite:
@article{siepe2026openesm, title={Introducing openESM: A database of openly available experience sampling datasets}, author={Siepe, Bj{\"o}rn S. and Haslbeck, Jonas M. B. and Kloft, Matthias and B{\"u}chner, Anabel and Zhang, Yong and Fried, Eiko I. and Heck, Daniel W.}, journal={Behavior Research Methods}, volume={58}, number={8}, pages={240}, year={2026}, doi={10.3758/s13428-026-03112-y}}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |