18,120 responses from 1,510 respondents to 12 items.
| Description | Extract from 1996 NAEP |
|---|---|
| Reference | Bartolucci, F., Bacci, S. and Gnaldi, M. (2014), MultiLCIRT: An R package for multidimensional latent class item response models, Computational Statistics and Data Analysis, 71, 971-985. |
| DOI | 10.1016/j.csda.2013.05.018 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/MultiLCIRT/index.html |
| Responses | 18,120 |
|---|---|
| Respondents | 1,510 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 12 |
| Responses per item | 1,510 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | National Assessment of Educational Progress (NAEP) |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("naep_multilcirt")
# Python
pip install irw
import irw
df = irw.fetch("naep_multilcirt")
| 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 |