15,738 responses from 258 respondents to 61 items.
| Description | Mentalized Affectivity Scale (MAS, 61 items, the paper's focal instrument, Italian validation), N=258 |
|---|---|
| Reference | Rinaldi T, Castelli I, Greco A, Greenberg DM, Jurist E, Valle A, Marchetti A (2021). The Mentalized Affectivity Scale (MAS): Development and validation of the Italian version. PLOS ONE, 16(4), e0249272. https://doi.org/10.1371/journal.pone.0249272 |
| DOI | 10.1371/journal.pone.0249272 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0249272.s001 |
| Responses | 15,738 |
|---|---|
| Respondents | 258 |
| Items | 61 |
| Response categories | 7 |
| Responses per respondent | 61 |
| Responses per item | 258 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational, Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Mentalized Affectivity Scale (MAS; Greenberg et al., 2017), Italian version |
|---|---|
| Mean words per item | 12.066 |
| Mean characters per item | 63.836 |
| Mean characters per response | 5.857 |
| Flesch-Kincaid grade level | 7.313 |
cov_educationcov_gendercov_jobiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rinaldi_2021_mas")
# Python
pip install irw
import irw
df = irw.fetch("rinaldi_2021_mas")
| 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 |