10,825 responses from 433 respondents to 25 items.
| Description | MC version of the computerized Free Response Matrices test(FRM_MC) |
|---|---|
| Reference | Breuer, S., Scherndl, T., & Ortner, T. M. (2024, September 27). Effects of response format on psychometric properties and fairness of a matrices test: multiple choice versus free response. Retrieved from osf.io/5ru9q |
| DOI | 10.3389/feduc.2020.00015 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/5ru9q/ |
| Responses | 10,825 |
|---|---|
| Respondents | 433 |
| Items | 25 |
| Response categories | 2 |
| Responses per respondent | 25 |
| Responses per item | 433 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| 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 | MC Version of the Computerized Free Response Matrices Test (FRM_MC) |
cov_agecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("erf_breuer_2017_frmmc")
# Python
pip install irw
import irw
df = irw.fetch("erf_breuer_2017_frmmc")
| 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 |