3,525 responses from 235 respondents to 15 items.
| Description | Continuation of number sequences |
|---|---|
| Reference | Martinez, D. (2024). Scoring story recall for individual differences research: Central details, peripheral details, and automated scoring. Behavior Research Methods, 1-17. |
| DOI | 10.3758/s13428-024-02480-7 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/5qxkh/ |
| Responses | 3,525 |
|---|---|
| Respondents | 235 |
| Items | 15 |
| Response categories | 2 |
| Responses per respondent | 15 |
| Responses per item | 235 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | General/non-specific |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Continuation of Number Sequences Task |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("idcr_martinez_2023_numSeries")
# Python
pip install irw
import irw
df = irw.fetch("idcr_martinez_2023_numSeries")
| 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 |