11,960 responses from 1,196 respondents to 10 items.
| Description | family satisfaction scale (fss) |
|---|---|
| Reference | María Isabel Vegas, 2022, "FACES IV Package for Spanish Adolescents", https://doi.org/10.7910/DVN/UA5GTO, Harvard Dataverse, V2 Vegas, M. I., Mateos-Agut, M., Pineda-Otaola, P. J., & Sebastián-Vega, C. (2022). Psychometric properties of the FACES IV package for Spanish adolescents. Psicologia: Reflexão e Crítica, 35, 18. |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UA5GTO |
| Responses | 11,960 |
|---|---|
| Respondents | 1,196 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 1,196 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational, Representative |
| construct type | Other |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | family satisfaction scale (fss) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | family satisfaction scale (fss) |
|---|---|
| Mean words per item | 6.800 |
| Mean characters per item | 43.400 |
| Mean characters per response | 18 |
| Flesch-Kincaid grade level | 9.968 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("FACES_Spanish_Vegas_2022_FSS")
# Python
pip install irw
import irw
df = irw.fetch("FACES_Spanish_Vegas_2022_FSS")
| 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 |