pcss_adolescent_athletes

3,410 responses from 155 respondents to 22 items.

About this table

Description	Post-Concussion Symptom Scale (PCSS) data for Canadian adolescent athletes aged 13-18
Reference	Reference: Renton, T. (2016). Investigating Symptoms of Concussion and Depression in Adolescent Athletes Devoid of a Recent Concussion Injury. Master of Science thesis, Rehabilitation Sciences Institute, University of Toronto. https://utoronto.scholaris.ca/server/api/core/bitstreams/224f8380-df43-4dca-8ef5-e47d56930765/content
DOI	https://utoronto.scholaris.ca/server/api/core/bitstreams/224f8380-df43-4dca-8ef5-e47d56930765/content
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/5YF5XJ

Size and shape

Responses	3,410
Respondents	155
Items	22
Response categories	7
Responses per respondent	22
Responses per item	155
Density	1
Longitudinal	FALSE

Classification

age range	Child (<18y)
child age (for child-focused studies)	Adolescent (12-18y)
sample	Targeted/specific
construct type	Physical health/functioning
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Post-Concussion Symptom Scale (PCSS)

Columns

cov_agecov_aggregate_medical_historycov_anxiety_diagnosiscov_anxiety_symptomscov_concussion_historycov_concussion_numbercov_depression_diagnosiscov_learning_disabilitycov_prior_depressive_episode_yncov_prior_depressive_episodescov_sexcov_sportiditemresp

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

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

# Python
pip install irw

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

Version and provenance

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