47,671 responses from 3,177 respondents to 16 items.
| Description | Trait Mindfulness |
|---|---|
| Reference | Grahe, J. E., Chalk, H. M., Cramblet Alvarez, L. D., Faas, C., Hermann, A., Ph.D., McFall, J. P., & Molyneux, K. (2019, June 13). EAMMi2 Public Data. https://doi.org/10.17605/OSF.IO/QTQPB |
| DOI | 10.5334/jopd.38 |
| Licence | Permission via Email |
| Source data | https://osf.io/qtqpb/overview |
| Responses | 47,671 |
|---|---|
| Respondents | 3,177 |
| Items | 16 |
| Response categories | 6 |
| Responses per respondent | 15.005 |
| Responses per item | 2979.438 |
| Density | 0.938 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Trait Mindfulness |
cov_agecov_armed_forces_yearscov_childhood_statecov_educationcov_gendercov_incomecov_political_ideologycov_political_partycov_president_supportcov_racecov_schoolcov_siblingscov_us_residentcov_years_in_usdateiditemresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("eammi_grahe_2018_mindful")
# Python
pip install irw
import irw
df = irw.fetch("eammi_grahe_2018_mindful")
| 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 |