37,182 responses from 1,335 respondents to 29 items.
One of 2 tables from the same source; this one measures Domain-Specific (Science) Reading Comprehension. The others are listed under Related tables.
| 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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_07_08.R. 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). | made in the build script |
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | sch_id |
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. | made in the build script |
resp | IRW standard Response value. | not traced |
std_baseline | IRW standard A standardised pre-treatment score, usually the trial's baseline measure. | s_mapritread_std1819w |
treat | IRW standard Treatment group assignment in experimental studies. | s_itt_consented |
| Respondent covariates | ||
cov_black_num | Covariate | not traced |
cov_hispanic_num | Covariate | not traced |
cov_iep_num | Covariate | not traced |
cov_lep_num | Covariate | not traced |
cov_male_num | Covariate | not traced |
cov_other_num | Covariate | not traced |
cov_ses_high | Covariate | not traced |
cov_ses_low | Covariate | not traced |
cov_ses_med | Covariate | not traced |
| Other columns | ||
tot | From source Not defined by the IRW standard; the source column’s codebook entry gives its meaning. | s_more_full_spiral |
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_8")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_8")
@misc{https://doi.org/10.7910/dvn/rkbvky,
doi = {10.7910/DVN/RKBVKY},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/RKBVKY},
author = {Kim, James S and Gilbert, Joshua B. and Relyea, Jackie E. and Rich, Patrick and Scherer, Ethan and Burkhauser, Mary A. and Tvedt, Johanna N.},
keywords = {Social Sciences},
title = {Replication Data for: Time to Transfer: Long-Term Effects of a Sustained and Spiraled Content Literacy Intervention in the Elementary Grades},
publisher = {Harvard Dataverse},
year = {2023}
}
| IRW version | v566 |
|---|---|
| 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 v43.0 |