43,480 responses from 2,174 respondents to 20 items.
| Description | Reading comprehension data from an RCT |
|---|---|
| Reference | Kim, J. S., Burkhauser, M. A., Relyea, J. E., Gilbert, J. B., Scherer, E., Fitzgerald, J., ... & McIntyre, J. (2023). A longitudinal randomized trial of a sustained content literacy intervention from first to second grade: Transfer effects on students’ reading comprehension. Journal of Educational Psychology, 115(1), 73. James S. Kim; Mary A. Burkhauser; Jackie E. Relyea; Joshua B. Gilbert; Ethan Scherer; Jill Fitzgerald; Douglas Mosher; Joseph McIntyre, 2022, "Replication Data for: A Longitudinal Randomized Trial of a Sustained Content Literacy Intervention from First to Second Grade: Transfer Effects on Students’ Reading Comprehension Outcomes", https://doi.org/10.7910/DVN/LAWFFU, Harvard Dataverse, V2, UNF:6:VATSovKxwaqyJAT6ZzzfBw== [fileUNF] |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/LAWFFU |
| Responses | 43,480 |
|---|---|
| Respondents | 2,174 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 20 |
| Responses per item | 2,174 |
| Density | 1 |
| 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 | Content Literacy Intervention and Reading Comprehension in Early Elementary Students |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Reading comprehension data from an RCT |
|---|---|
| Mean words per item | 9.050 |
| Mean characters per item | 54.450 |
| Mean characters per response | 18.350 |
| Flesch-Kincaid grade level | 7.264 |
block_idcluster_idcov_asian_numcov_black_numcov_hispanic_numcov_homelang_engcov_iep_numcov_lep_numcov_male_numcov_ses_lowcov_ses_medcov_white_numiditemrespstd_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_2")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_2")
| 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 |