25,416 responses from 2,118 respondents to 12 items.
| Description | Vocabulary test |
|---|---|
| Reference | Gilbert, J. B., Domingue, B. W., & Kim, J. S. (2025). Estimating causal effects on psychological networks using item response theory. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000764 |
| DOI | 10.1037/met0000764 |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/CVO9EZ |
| Responses | 25,416 |
|---|---|
| Respondents | 2,118 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 12 |
| Responses per item | 2,118 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| construct type | Other |
| measurement tool | Observational rating |
| item format | Mixed |
| primary language(s) | eng |
| construct name | Estimating Causal Effects on Psychological Networks Using Item Response Theory |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Vocabulary test |
|---|---|
| Mean words per item | 7 |
| Mean characters per item | 38.667 |
| Mean characters per response | 6.417 |
| Flesch-Kincaid grade level | 3.576 |
This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
block_id | IRW standard The level above cluster_id — in a randomised design, the block or stratum within which assignment was made (treat varies within a block, and clusters nest in blocks). | not traced |
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | not traced |
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
std_baseline | IRW standard A standardised pre-treatment score, usually the trial's baseline measure. | not traced |
treat | IRW standard Treatment group assignment in experimental studies. | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_100")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_100")
@article{Gilbert_2025, title={Estimating causal effects on psychological networks using item response theory.}, ISSN={1082-989X}, url={http://dx.doi.org/10.1037/met0000764}, DOI={10.1037/met0000764}, journal={Psychological Methods}, publisher={American Psychological Association (APA)}, author={Gilbert, Joshua B. and Domingue, Benjamin W. and Kim, James S.}, year={2025}, month=jun }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v40.0 |