2,860 responses from 257 respondents to 11 items.
| Description | Using 10 questions answered with “Yes” or “No,” this questionnaire assesses the presence or absence of stressors in the last twelve months (i.e., life threatening illness or accidental injury to you or someone close to you, death of someone close to you, moved to a different home or apartment, family violence or abuse to you or someone close to you, had to take care of a seriously ill or disabled family member, started back at school, separated or divorced with a spouse or romantic partner, you or someone in your home lost a job or tried to get a job and failed, government agency funds were cut off for you or someone in your home, anything else bad happened to you or someone close to you). |
|---|---|
| Reference | Rioux, C., Konkin, A., MacKinnon, A. L., Tomfohr-Madsen, L., & Roos, L. E. (2025, June 2). MTurk Parent eHealth Preference Survey. https://doi.org/10.17605/OSF.IO/J7D2Q |
| DOI | 10.5334/jopd.127 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/j7d2q/overview |
| Responses | 2,860 |
|---|---|
| Respondents | 257 |
| Items | 11 |
| Response categories | 2 |
| Responses per respondent | 11.128 |
| Responses per item | 260 |
| Density | 1.012 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Recent Stressful Experiences |
cov_agecov_attention1cov_attention2cov_connectcov_daily_1cov_daily_2cov_daily_3cov_daily_4cov_daily_5cov_daily_6cov_daily_7cov_daily_8cov_daily_9cov_daily_noanswercov_educcov_educ_opencov_eligibility_childcov_eligibility_countrycov_eligibility_engcov_f_activitiescov_f_connectcov_f_grcoachcov_f_indcoachcov_f_lengthcov_f_monitorcov_f_readingcov_f_trackcov_f_videocov_f_wkcoachcov_forum_gendercov_forum_rel_1cov_forum_rel_2cov_forum_rel_3cov_forum_rel_4cov_maritalcov_medcov_med_1cov_med_2cov_med_3cov_med_4cov_med_5cov_med_opencov_n_childcov_p_choicecov_personcov_s__mh_groupcov_s_crisiscov_s_crisis_mincov_s_crisis_satcov_s_crisis_timescov_s_ehealthcov_s_ehealth_mincov_s_ehealth_satcov_s_ehealth_timescov_s_faithcov_s_faith_mincov_s_faith_satcov_s_faith_timescov_s_groupcov_s_group_mincov_s_group_satcov_s_group_timescov_s_indcov_s_ind_mincov_s_ind_satcov_s_ind_timescov_s_infocov_s_info_mincov_s_info_satcov_s_info_timescov_s_instantcov_s_instant_mincov_s_instant_satcov_s_instant_timescov_s_mhcov_s_mh_ehealthcov_s_mh_individualcov_s_mh_medcov_s_mh_parcov_s_othercov_s_other_mincov_s_other_satcov_s_other_textcov_s_other_timescov_s_parcov_s_par_ehealthcov_s_par_groupcov_s_par_individualcov_statecov_vid_gendercov_vid_rel_1cov_vid_rel_2cov_vid_rel_3cov_vid_rel_4dateiditemresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ehealth_rioux_2025_rse")
# Python
pip install irw
import irw
df = irw.fetch("ehealth_rioux_2025_rse")
| 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 |