metacogmonitoring_double2025
20,100 responses from 300 respondents to 67 items.
About this table
| Description | perceived metacognitive monitoring abilities (Study 1) |
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| Reference | Double, K. S. (2025). Survey measures of metacognitive monitoring are often false. Behavior Research Methods, 57(3), 97. |
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| DOI | 10.3758/s13428-025-02621-6 |
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| Licence | CC BY 4.0 |
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| Source data | https://osf.io/u4w5b |
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Size and shape
| Responses | 20,100 |
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| Respondents | 300 |
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| Items | 67 |
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| Response categories | 6 |
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| Responses per respondent | 67 |
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| Responses per item | 300 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Internet-based |
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| construct type | Cognitive/educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | perceived metacognitive monitoring abilities (Study 1) |
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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) |
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| Mean words per item | 10.045 |
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| Mean characters per item | 58.015 |
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| Mean characters per response | 6.500 |
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| Flesch-Kincaid grade level | 8.214 |
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Columns
cov_agecov_sexiditemresp
Get the data
Or load it directly in R or Python:
# 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")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse v53.0 |
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| Redivis dataset DOI | 10.57761/4g08-xt41 |
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| Manifest pin for this IRW version | v53.0 |
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| Metadata source | irw_meta v23.0 |
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