burgess_2025_soas
1,194 responses from 120 respondents to 6 items.
About this table
| Description | 6-item Specific Object Anthropomorphism Scale (SOAS), children aged 5-12, baseline + ~14-day retest wave |
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| Reference | David et al. (2025). The 6-item specific object anthropomorphism scale: a new questionnaire for children and adults. PeerJ. |
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| DOI | 10.7717/peerj.20153 |
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| Licence | CC BY 4.0 |
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| Source data | https://europepmc.org/article/PMC/PMC12515426 |
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Size and shape
| Responses | 1,194 |
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| Respondents | 120 |
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| Items | 6 |
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| Response categories | 3 |
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| Responses per respondent | 9.950 |
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| Responses per item | 199 |
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| Density | 1.658 |
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| Longitudinal | TRUE |
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Classification
| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Specific Object Anthropomorphism Scale (SOAS), 6-item final version |
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| Mean words per item | 9.167 |
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| Mean characters per item | 45.833 |
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| Mean characters per response | 3.333 |
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| Flesch-Kincaid grade level | 1.930 |
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Columns
cov_child_agecov_child_ethnicitycov_child_gendercov_parent_agecov_parent_ethnicitycov_parent_genderiditemrespwave
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("burgess_2025_soas")
# Python
pip install irw
import irw
df = irw.fetch("burgess_2025_soas")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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