gilbert_meta_65
7,829 responses from 281 respondents to 14 items.
About this table
| Description | Mental health literacy in an RCT |
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| Reference | https://www.sciencedirect.com/science/article/pii/S2212657023000016?via%3Dihub |
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| DOI | 10.1016/j.mhp.2023.200259 |
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| Licence | CC BY 4.0 |
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| Source data | https://bridges.monash.edu/articles/dataset/Data_File_A_Cluster-Randomised_Controlled_Trial_of_a_Mental_Health_Literacy_Program_for_Community_Sport_Leaders/20422257/1?file=36520497 |
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Size and shape
| Responses | 7,829 |
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| Respondents | 281 |
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| Items | 14 |
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| Response categories | 5 |
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| Responses per respondent | 27.861 |
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| Responses per item | 559.214 |
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| Density | 1.990 |
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| Longitudinal | TRUE |
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Classification
| age range | Adult (18+) |
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| sample | Program-based, Targeted/specific |
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| construct type | Affective/mental health, Cognitive/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) | eng |
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| construct name | Mental Health Literacy (MHL) scale |
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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 | Mental health literacy in an RCT |
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| Mean words per item | 10.143 |
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| Mean characters per item | 58.643 |
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| Mean characters per response | 10 |
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| Flesch-Kincaid grade level | 7.105 |
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Columns
cluster_idcov_agecov_maleiditemresptreatwave
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_65")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_65")
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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