adebiyi_2026_representational_fluency

1,138 responses from 285 respondents to 4 items.

About this table

Description	Representational Fluency Task, 4 open-response items translating between words, equations and diagrams, scored 0/1, 285 Junior Secondary School students in Lagos State, Nigeria; cov_gender.
Reference	Adebiyi, A. (2026). Cognitive Load and Error patterns as predictors of Achievement in Algebraic word Problems [Data set]. figshare. https://doi.org/10.6084/m9.figshare.34032243.v1
Licence	CC BY 4.0
Source data	https://figshare.com/articles/dataset/Cognitive_Load_and_Error_patterns_as_predictors_of_Achievement_in_Algebraic_word_Problems/34032243

Size and shape

Responses	1,138
Respondents	285
Items	4
Response categories	2
Responses per respondent	3.993
Responses per item	284.500
Density	0.998
Longitudinal	FALSE

Classification

age range	Child (<18y)
sample	Educational
construct type	Cognitive/educational
measurement tool	Test
item format	Constructed Response
primary language(s)	eng
construct name	Representational Fluency Task (4 problems translating between words, equations and diagrams)

Item text

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

Instrument	Representational Fluency Task (RFT)
Mean words per item	19.750
Mean characters per item	105.500
Mean characters per response	2
Flesch-Kincaid grade level	5.021

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, adebiyi_2026_representational_fluency.py. 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).	`Student_Code`
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_gender`	Covariate	`Gender`

What item codes and covariate values stand for is in the source’s codebook, 69495567.

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("adebiyi_2026_representational_fluency")

# Python
pip install irw

import irw
df = irw.fetch("adebiyi_2026_representational_fluency")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.34032243.v1,
  doi = {10.6084/M9.FIGSHARE.34032243.V1},
  url = {https://figshare.com/articles/dataset/Cognitive_Load_and_Error_patterns_as_predictors_of_Achievement_in_Algebraic_word_Problems/34032243/1},
  author = {Adebiyi, Akeem},
  keywords = {Mathematics and numeracy curriculum and pedagogy},
  title = {Cognitive Load and Error patterns as predictors of Achievement in Algebraic word Problems},
  publisher = {figshare},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_5 v8.5
Redivis dataset DOI	10.57761/41xy-5k56
Manifest pin for this IRW version	v8.5
Metadata source	irw_meta v44.0