silva_2023_ecohis
4,823 responses from 371 respondents to 13 items.
About this table
| Description | 13-item Early Childhood Oral Health Impact Scale (ECOHIS, 0-5 scale), n=371 preschoolers, Brazil |
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| Reference | Silva et al. (2023). The Early Childhood Oral Health Impact Scale (ECOHIS): psychometric properties and application on preschoolers. PeerJ. |
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| DOI | 10.7717/peerj.16035 |
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| Licence | CC BY 4.0 |
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| Source data | https://europepmc.org/article/PMC/PMC10569180 |
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Size and shape
| Responses | 4,823 |
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| Respondents | 371 |
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| Items | 13 |
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| Response categories | 5 |
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| Responses per respondent | 13 |
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| Responses per item | 371 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | Educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | por |
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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 | Early Childhood Oral Health Impact Scale (ECOHIS; Pahel, Rozier & Slade, 2007), Brazilian Portuguese version (Tesch, Oliveira & Leão, 2008) |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 2 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_age_childcov_age_mothercov_civil_statuscov_sexcov_workiditemresp
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("silva_2023_ecohis")
# Python
pip install irw
import irw
df = irw.fetch("silva_2023_ecohis")
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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