31,200 responses from 800 respondents to 39 items.
| Description | Five Facets Mindfulness Questionnaire |
|---|---|
| Reference | Lecuona, O., García-Garzón, E., García-Rubio, C., & Rodríguez-Carvajal, R. (2020). A psychometric review and conceptual replication study of the Five Facets Mindfulness Questionnaire latent structure. Assessment, 27(5), 859-872. |
| DOI | 10.1177/1073191119873718 |
| Licence | CC0 1.0 |
| Source data | https://osf.io/m64wp/ |
| Responses | 31,200 |
|---|---|
| Respondents | 800 |
| Items | 39 |
| Response categories | 5 |
| Responses per respondent | 39 |
| Responses per item | 800 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Five Facets Mindfulness Questionnaire |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Five Facets Mindfulness Questionnaire |
|---|---|
| Mean words per item | 13.154 |
| Mean characters per item | 72.692 |
| Mean characters per response | 7 |
| Flesch-Kincaid grade level | 7.298 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("PRCPSFFMQ_Lecuona_2017")
# Python
pip install irw
import irw
df = irw.fetch("PRCPSFFMQ_Lecuona_2017")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |