37,182 responses from 1,335 respondents to 29 items.
| Description | Comprehension test following a reading intervention |
|---|---|
| Reference | Kim, J. S., Gilbert, J. B., Relyea, J. E., Rich, P., Scherer, E., Burkhauser, M. A., & Tvedt, J. N. (2024). Time to transfer: Long-term effects of a sustained and spiraled content literacy intervention in the elementary grades.Developmental Psychology. Advance online publication. https://doi.org/10.1037/dev0001710 Kim, James S; Gilbert, Joshua B.; Relyea, Jackie E.; Rich, Patrick; Scherer, Ethan; Burkhauser, Mary A.; Tvedt, Johanna N., 2023, "Replication Data for: Time to Transfer: Long-Term Effects of a Sustained and Spiraled Content Literacy Intervention in the Elementary Grades", https://doi.org/10.7910/DVN/RKBVKY, Harvard Dataverse, V2, UNF:6:8Bs7YiYfLGBG85OmnX3qpw== [fileUNF] |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RKBVKY |
| Responses | 37,182 |
|---|---|
| Respondents | 1,335 |
| Items | 29 |
| Response categories | 2 |
| Responses per respondent | 27.852 |
| Responses per item | 1282.138 |
| Density | 0.960 |
| 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 | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Domain-Specific (Science) Reading Comprehension |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Comprehension test following a reading intervention |
|---|---|
| Mean words per item | 11.034 |
| Mean characters per item | 63.276 |
| Mean characters per response | 35.828 |
| Flesch-Kincaid grade level | 6.452 |
block_idcluster_idcov_black_numcov_hispanic_numcov_iep_numcov_lep_numcov_male_numcov_other_numcov_ses_highcov_ses_lowcov_ses_mediditemrespstd_baselinetottreat
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_8")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_8")
| 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 |