weber2026_name_knowledge

15,930 responses from 270 respondents to 59 items.

About this table

DescriptionName-based instructor-student interaction questionnaire (medical teaching, Germany)
ReferenceWeber, L. P., Huber, P., & Wiemschulte, J. (2026). Exploring name-based instructor-student interaction in medical teaching: development and validation [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/3CKJV1
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/3CKJV1

Size and shape

Responses15,930
Respondents270
Items59
Response categories5
Responses per respondent59
Responses per item270
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Item text

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

InstrumentName-based instructor-student interaction questionnaire (pilot), Perceived Effects section
Mean words per item9.746
Mean characters per item57.966
Mean characters per response16.600
Flesch-Kincaid grade level7.768

Columns

cov_agecov_format_1on1cov_format_cliniccov_format_lecturecov_format_onlinecov_format_practicumcov_format_seminarcov_n_coursescov_name_knowledgecov_nk_assistenzarztcov_nk_dozentcov_nk_hilfskraftcov_nk_oberarztcov_nk_professorcov_semestercov_timeiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant 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("weber2026_name_knowledge")
# Python
pip install irw

import irw
df = irw.fetch("weber2026_name_knowledge")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0