932 responses from 236 respondents to 4 items.
| Description | Family Affluence Scale II (FAS II), 4 raw items (car ownership, own bedroom, family holidays, computers), response range genuinely varies by item (0-2 to 0-3, per the paper's Methods). N=236 children, same sample as schmidt_2017_pds. |
|---|---|
| Reference | Schmidt M, Egger F, Benzing V, Jaeger K, Conzelmann A, Roebers CM, et al. (2017) Disentangling the relationship between children's motor ability, executive function and academic achievement. PLoS ONE 12(8):e0182845. |
| DOI | 10.1371/journal.pone.0182845 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0182845.s001 |
| Responses | 932 |
|---|---|
| Respondents | 236 |
| Items | 4 |
| Response categories | 4 |
| Responses per respondent | 3.949 |
| Responses per item | 233 |
| Density | 0.987 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
cov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("schmidt_2017_fas")
# Python
pip install irw
import irw
df = irw.fetch("schmidt_2017_fas")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |