176,964 responses from 92 respondents to 5,208 items.
| Description | These datasets contain individual reaction time data to Croatian words, and pseudowords in a lexical decision task. |
|---|---|
| Reference | Tonković, Mirjana; Dumančić, Francesca; Vlašiček, Denis, 2021, "MegaRT: Lexical Decision Times for Croatian Words", https://doi.org/10.23669/PEVB54, CROSSDA, V1, UNF:6:KSgcyc0fgFgJ0kHr3I+d/w== [fileUNF] |
| DOI | 10.23669/PEVB54 |
| Licence | CC BY 4.0 |
| Source data | https://data.crossda.hr/dataset.xhtml?persistentId=doi:10.23669/PEVB54&version=1.1&selectTab=termsTab |
| Responses | 176,964 |
|---|---|
| Respondents | 92 |
| Items | 5,208 |
| Response categories | 2 |
| Responses per respondent | 1923.522 |
| Responses per item | 33.979 |
| Density | 0.369 |
| Longitudinal | TRUE |
| measurement tool | Test |
|---|---|
| primary language(s) | hrv |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | MegaRT lexical decision task (Croatian nouns and Wuggy-matched pseudowords) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 7.219 |
| Mean characters per response | 8 |
dateiditemitemcov_typeresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("megart_tonkovic_2021")
# Python
pip install irw
import irw
df = irw.fetch("megart_tonkovic_2021")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |