gilbert_meta_96

About this table

Size and shape

Classification

These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.

This table is in 2 collections. Each membership records how it was decided:

• Longitudinal longitudinal — by rule
• RCT rct — by rule

Membership is the IRW’s judgment and is worth checking before you use a collection as a sample. A hand-curated list is a snapshot: it is not re-checked when tables are added, so a table that would qualify may be missing. See Collections.

Item text

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gilbert_95through96.R. 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.

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

Respondent uniqueness. No respondent in this table is unique on the single covariate above: every one of them shares their combination with someone else. The IRW republishes the demographics its sources published and never at finer granularity: see the data standard.

Get the data

Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("irw")
library(irw)
df <- irw_fetch("gilbert_meta_96")

# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_96")

Or in Stata, which reads the same no-account CSV as the button above:

* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")

irw_fetch gilbert_meta_96, clear

How to cite

@article{_i_ek_2024, title={ChatGPT versus expert feedback on clinical reasoning questions and their effect on learning: a randomized controlled trial}, ISSN={1469-0756}, url={http://dx.doi.org/10.1093/postmj/qgae170}, DOI={10.1093/postmj/qgae170}, journal={Postgraduate Medical Journal}, publisher={Oxford University Press (OUP)}, author={Çiçek, Feray Ekin and Ülker, Müşerref and Özer, Menekşe and Kıyak, Yavuz Selim}, year={2024}, month=dec }

Related tables

• gilbert_meta_95 — Key Features Questions (KFQ) · 12 items

Version and provenance