dpt_noncog__intolerance_of_uncertainty

Name: dpt_noncog__intolerance_of_uncertainty
Creator: Item Response Warehouse
Published: 2026-09-19
License: CC0 1.0

4,768 responses from 298 respondents to 16 items.

About this table

Description	Intolerance of Uncertainty Scale (16 items, 1-5; N=298). DPT learner non-cognitive traits study.
Reference	Canham L, Salamh P et al. (2018). Evaluation of non-cognitive traits of doctor of physical therapy learners in the United States. Harvard Dataverse. https://doi.org/10.7910/DVN/Y75CP2
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/Y75CP2

Size and shape

Responses	4,768
Respondents	298
Items	16
Response categories	5
Responses per respondent	16
Responses per item	298
Density	1
Longitudinal	FALSE

Classification

sample	Educational
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Intolerance of Uncertainty Scale (IUS-27; 16-item selection)
Mean words per item	9.500
Mean characters per item	53.188
Mean characters per response	28.600
Flesch-Kincaid grade level	6.048

Columns

iditemresp

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("dpt_noncog__intolerance_of_uncertainty")

# Python
pip install irw

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

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