blumel_2018_mrs

4,697 responses from 427 respondents to 11 items.

About this table

DescriptionMenopause Rating Scale (MRS), 11 symptom severity items (somatic, psychological, urogenital); 11 items, 0-4 (none-very severe); 427 Chilean women aged 40-59 not using hormone therapy or oral contraceptives; covariates: cov_age, cov_schooling, cov_care_type, cov_stable_partner, cov_menses, cov_hysterectomy, cov_oophorectomy, cov_years_amenorrhea.
ReferenceBlumel, J. E., Arteaga, E., Parra, J., Monsalve, C., Reyes, V., Vallejo, M. S., & Chea, R. (2018). Decision-making for the treatment of climacteric symptoms using the Menopause Rating Scale. Maturitas, 111, 15-19. https://doi.org/10.1016/j.maturitas.2018.02.010
DOI10.1016/j.maturitas.2018.02.010
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/t3t4z976tp/1

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses4,697
Respondents427
Items11
Response categories5
Responses per respondent11
Responses per item427
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
construct typeAffective/mental health, Physical health/functioning
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameMenopause Rating Scale (MRS)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, blumel_2018_mrs.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Edad
cov_care_typeCovariate Tipodeatencióndesalud
cov_hysterectomyCovariate Histerectomía
cov_mensesCovariate Actualmentesusmenstruacionesson
cov_oophorectomyCovariate Ooferectomíabilateral
cov_schoolingCovariate Añosdeestudio
cov_stable_partnerCovariate Tieneparejaestable
cov_years_amenorrheaCovariate Añossinmenstruar

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("blumel_2018_mrs")
# Python
pip install irw

import irw
df = irw.fetch("blumel_2018_mrs")

How to cite

@article{Bl_mel_2018, title={Decision-making for the treatment of climacteric symptoms using the Menopause Rating Scale}, volume={111}, ISSN={0378-5122}, url={http://dx.doi.org/10.1016/j.maturitas.2018.02.010}, DOI={10.1016/j.maturitas.2018.02.010}, journal={Maturitas}, publisher={Elsevier BV}, author={Blümel, Juan Enrique and Arteaga, Eugenio and Parra, Joaquín and Monsalve, Carolina and Reyes, Valentina and Vallejo, María Soledad and Chea, Rosa}, year={2018}, month=May, pages={15–19} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0