2,212 responses from 20 respondents to 3 items.
| Description | A pilot study of the psychometric properties of a novel assessment method of mentalizing in daily life |
|---|---|
| Reference | Steinberg, N., Moshe-Cohen, R., Sheena, L. et al. Capturing a mentalized moment: A pilot study of the psychometric properties of a novel assessment method of mentalizing in daily life. Curr Psychol 43, 7596–7611 (2024). https://doi.org/10.1007/s12144-023-04963-w |
| DOI | 10.1007/s12144-023-04963-w |
| Licence | CC BY-NC 4.0 |
| Source data | https://osf.io/9cm75/ |
| Responses | 2,212 |
|---|---|
| Respondents | 20 |
| Items | 3 |
| Response categories | 8 |
| Responses per respondent | 110.600 |
| Responses per item | 737.333 |
| Density | 36.867 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | heb |
| construct name | Mentalizing |
iditemrespwave
Licence: CC BY-NC 4.0 — non-commercial use only.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("steinberg_2023_mentalizing_momentary")
# Python
pip install irw
import irw
df = irw.fetch("steinberg_2023_mentalizing_momentary")
| 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 |