6,128 responses from 386 respondents to 16 items.
| Description | Emotional-related and functional-related quality of life in patients with keratoconus. |
|---|---|
| Reference | Balparda, K., Herrera-Chalarca, T., & Cano-Bustamante, M. (2022). Standardizing the measurement and classification of quality of life using the Keratoconus End-Points Assessment Questionnaire (KEPAQ): the ABCDEF keratoconus classification. Eye and Vision, 9(1), 17. Balparda, Kepa, 2021, "Replication Data for: Standardizing the Measurement and Interpretation of Quality of Life Using the “Keratoconus End-Points Assessment Questionnaire” (KEPAQ)", https://doi.org/10.7910/DVN/APBOX9, Harvard Dataverse, V3, UNF:6:ltIxdLar/ASJVVF5sjN40g== [fileUNF] |
| DOI | 10.1186/s40662-022-00288-0 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/APBOX9&version=3.0 |
| Responses | 6,128 |
|---|---|
| Respondents | 386 |
| Items | 16 |
| Response categories | 4 |
| Responses per respondent | 15.876 |
| Responses per item | 383 |
| Density | 0.992 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Clinical |
| construct type | Affective/mental health, Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Quality of Life |
cov_agecov_age_at_diagnosiscov_age_at_first_surgerycov_allergic_conjunctivitiscov_apertcov_corneal_ringscov_crosslinkingcov_dermatitiscov_diabetescov_downcov_drugs_alergycov_ehlers_dahnloscov_food_alergycov_hipothyroidismcov_hypertensioncov_hypertiroidismcov_intraocular_lenscov_keratoplastycov_kidney_diseasecov_liver_diseasecov_marfancov_oculodentodigitalcov_refractive_situationcov_riegercov_sexcov_turneriditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kepaq_balparda_2021")
# Python
pip install irw
import irw
df = irw.fetch("kepaq_balparda_2021")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |