59,246 responses from 2,588 respondents to 24 items.
| Description | Vocabulary test following a literacy intervention for grade 1 students |
|---|---|
| Reference | Kim, J. S., Relyea, J. E., Burkhauser, M. A., Scherer, E., & Rich, P. (2021). Improving elementary grade students’ science and social studies vocabulary knowledge depth, reading comprehension, and argumentative writing: A conceptual replication. Educational Psychology Review, 1-30. Kim, James; Relyea, Jackie Eunjung; Burkhauser, Mary A.; Scherer, Ethan; Rich, Patrick, 2021, "Replication Data for: Improving Elementary Grade Students’ Science and Social Studies Vocabulary Knowledge Depth, Reading Comprehension, and Argumentative Writing: A Conceptual Replication", https://doi.org/10.7910/DVN/HQEMN6, Harvard Dataverse, V1, UNF:6:fM1zIBl88IKxt400zYOJag== [fileUNF] |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HQEMN6 |
| Responses | 59,246 |
|---|---|
| Respondents | 2,588 |
| Items | 24 |
| Response categories | 2 |
| Responses per respondent | 22.893 |
| Responses per item | 2468.583 |
| Density | 0.954 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Mixed |
| primary language(s) | eng |
| construct name | Vocabulary Knowledge Depth and Literacy Outcomes in Elementary School Students |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Vocabulary test following a literacy intervention for grade 1 students |
|---|---|
| Mean words per item | 7.042 |
| Mean characters per item | 39.625 |
| Mean characters per response | 6.125 |
| Flesch-Kincaid grade level | 4.053 |
block_idcluster_idcov_asiancov_blackcov_hispaniccov_iepcov_lepcov_malecov_ses_highcov_ses_lowcov_ses_medcov_whiteiditemrespstd_baselinetreat
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:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_11")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_11")
| 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 |