Item Response Warehouse / Tables / cdm_pisa00Rcdm_pisa00R
28,470 responses from 1,095 respondents to 26 items.
About this table
Description Subset of PISA reading test with Q matrix. Reference Chen, J., & de la Torre, J. (2014). A procedure for diagnostically modeling extant large-scale assessment data: the case of the programme for international student assessment in reading. Psychology, 5(18), 1967-1978. DOI 10.4236/psych.2014.518200 Licence GPL-3.0 Source data https://cran.r-project.org/web/packages/CDM/index.html
Size and shape
Responses 28,470 Respondents 1,095 Items 26 Response categories 3 Responses per respondent 26 Responses per item 1,095 Density 1 Longitudinal FALSE
Classification
age range Child (<18y) sample Educational construct type Cognitive/educational measurement tool Test item format Likert Scale/selected response primary language(s) ger construct name Subset of PISA reading test with Q matrix.
Columns
id item qmatrix__a1 qmatrix__a2 qmatrix__a3 qmatrix__a4 qmatrix__a5 qmatrix__a6 qmatrix__cr qmatrix__mc resp
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("cdm_pisa00R")
# Python
pip install irw
import irw
df = irw.fetch("cdm_pisa00R")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse v53.0 Redivis dataset DOI 10.57761/4g08-xt41 Manifest pin for this IRW version v53.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse v53.0.