15,270 responses from 1,018 respondents to 15 items.
| Description | Epistemic Trust, Mistrust, and Credulity Inventory (ETMCI), Argentine validation, 15 items, N=1018 |
|---|---|
| Reference | Rodriguez Quiroga, A., et al. (2024). Validation of the Argentine version of the epistemic trust, mistrust, and credulity questionnaire. PLOS ONE. |
| DOI | 10.1371/journal.pone.0311352 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0311352 |
| Responses | 15,270 |
|---|---|
| Respondents | 1,018 |
| Items | 15 |
| Response categories | 7 |
| Responses per respondent | 15 |
| Responses per item | 1,018 |
| Density | 1 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | spa |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Epistemic Trust, Mistrust and Credulity Questionnaire (ETMCQ), Argentine version |
|---|---|
| Mean words per item | 16 |
| Mean characters per item | 85.267 |
| Mean characters per response | 17.571 |
| Flesch-Kincaid grade level | 7.907 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rodriguezquiroga_2024_epistemic_trust")
# Python
pip install irw
import irw
df = irw.fetch("rodriguezquiroga_2024_epistemic_trust")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |