115,983 responses from 4,668 respondents to 174 items.
| Description | Austrian TIMSS data with Q matrix |
|---|---|
| Reference | George, A. C., & Robitzsch, A. (2014). Multiple group cognitive diagnosis models, with an emphasis on differential item functioning. Psychological Test and Assessment Modeling, 56(4), 405-432 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/CDM/index.html |
| Responses | 115,983 |
|---|---|
| Respondents | 4,668 |
| Items | 174 |
| Response categories | 2 |
| Responses per respondent | 24.846 |
| Responses per item | 666.569 |
| Density | 0.143 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
| construct name | Mathematical Sub-Competencies in Operational and Content Domains |
bookletiditemqmatrix__co_daqmatrix__co_dkqmatrix__co_drqmatrix__co_gaqmatrix__co_gkqmatrix__co_grqmatrix__co_naqmatrix__co_nkqmatrix__co_nrresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cdm_timss11")
# Python
pip install irw
import irw
df = irw.fetch("cdm_timss11")
| 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 |