shinohara_2021_testimony
1,152 responses from 128 respondents to 9 items.
About this table
| Description | 9-item child behavioral response measure (reward-allocation ranks + explicit evaluation ratings) toward puppets after observation/positive/negative testimony, n=128 5- and 7-year-olds |
| Reference | Shinohara A, et al (2021). The impact of positive and negative testimony on children's attitudes toward others. PLOS ONE. |
| DOI | 10.1371/journal.pone.0261075 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0261075 |
Size and shape
| Responses | 1,152 |
| Respondents | 128 |
| Items | 9 |
| Response categories | 6 |
| Responses per respondent | 9 |
| Responses per item | 128 |
| Density | 1 |
| Longitudinal | FALSE |
Classification
| sample | Program-based |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | jpn |
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Reward-allocation, reward-anticipation and explicit evaluation tasks toward puppets (Shinohara, Kanakogi, Okumura & Kobayashi, 2021) |
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 27.091 |
| Flesch-Kincaid grade level | -3.400 |
Columns
cov_agecov_conditioncov_first_taskcov_gendercov_video_numberiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("shinohara_2021_testimony")
# Python
pip install irw
import irw
df = irw.fetch("shinohara_2021_testimony")
Version and provenance
| 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 |