1,201 responses from 81 respondents to 15 items.
| Description | Item-level Mystical Experience Questionnaire mystical-scale subset (MEQ-30, 15 items, 0-5 scale) embedded within a 190-item Russian Freediving Federation follow-up survey; 81 respondents |
|---|---|
| Reference | Tutrin, Andy (2020). MEQ30 and Personality traits and demographics Freediving follow-up survey raw data. Harvard Dataverse, V1. https://doi.org/10.7910/DVN/DEJQM4 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DEJQM4 |
| Responses | 1,201 |
|---|---|
| Respondents | 81 |
| Items | 15 |
| Response categories | 5 |
| Responses per respondent | 14.827 |
| Responses per item | 80.067 |
| Density | 0.988 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | rus, eng |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("tutrin_2020_meq30")
# Python
pip install irw
import irw
df = irw.fetch("tutrin_2020_meq30")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |