gilbert_meta_49
9,511 responses from 200 respondents to 20 items.
About this table
| Description | Psychological Distress (SRQ-20) in an RCT |
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| Reference | https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-017-2299-3 |
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| DOI | 10.1186/s13063-017-2299-3 |
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| Licence | CC BY 4.0 |
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| Source data | https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP2/F8SJBV |
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Size and shape
| Responses | 9,511 |
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| Respondents | 200 |
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| Items | 20 |
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| Response categories | 2 |
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| Responses per respondent | 47.555 |
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| Responses per item | 475.550 |
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| Density | 2.378 |
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| Longitudinal | TRUE |
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Classification
| age range | Mixed |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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| sample | Clinical |
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| construct type | Physical health/functioning |
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| measurement tool | Observational rating |
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| item format | Constructed Response |
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| construct name | Data from the cluster-randomized controlled trial of the Kusamala Program |
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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 | Psychological Distress (SRQ-20) in an RCT |
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| Mean words per item | 6.300 |
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| Mean characters per item | 33.350 |
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| Mean characters per response | 2.500 |
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| Flesch-Kincaid grade level | 3.443 |
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Columns
cluster_idcov_agecov_any_schoolcov_incomecov_literateiditemresptreatwave
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("gilbert_meta_49")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_49")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse v53.0 |
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| Redivis dataset DOI | 10.57761/4g08-xt41 |
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| Manifest pin for this IRW version | v53.0 |
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| Metadata source | irw_meta v23.0 |
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