metacogmonitoring_double2025

20,100 responses from 300 respondents to 67 items.

About this table

Description	perceived metacognitive monitoring abilities (Study 1)
Reference	Double, K. S. (2025). Survey measures of metacognitive monitoring are often false. Behavior Research Methods, 57(3), 97.
DOI	10.3758/s13428-025-02621-6
Licence	CC BY 4.0
Source data	https://osf.io/u4w5b

Size and shape

Responses	20,100
Respondents	300
Items	67
Response categories	6
Responses per respondent	67
Responses per item	300
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Internet-based
construct type	Cognitive/educational
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	perceived metacognitive monitoring abilities (Study 1)

Item text

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

Instrument	Metacognitive monitoring self-report item pool (Double, 2025, Study 1)
Mean words per item	10.045
Mean characters per item	58.015
Mean characters per response	6.500
Flesch-Kincaid grade level	8.214

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, metacogmonitoring_double2025.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.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age`
`cov_sex`	Covariate	`sex`

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

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 (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("metacogmonitoring_double2025")

# Python
pip install irw

import irw
df = irw.fetch("metacogmonitoring_double2025")

How to cite

@article{Double_2025, title={Survey measures of metacognitive monitoring are often false}, volume={57}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-025-02621-6}, DOI={10.3758/s13428-025-02621-6}, number={3}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Double, Kit S.}, year={2025}, month=feb }

Version and provenance

IRW version	v569
Redivis dataset	item_response_warehouse v71.0
Redivis dataset DOI	10.57761/f5n4-k797
Manifest pin for this IRW version	v70.0
Metadata source	irw_meta v43.0