52,809 responses from 3,870 respondents to 19 items.
| Description | Survey items from dataset used to assess effectiveness of parental text message intervention |
|---|---|
| Reference | Asher, C. A., Scherer, E., & Kim, J. S. (2022). Using a factorial design to maximize the effectiveness of a parental text messaging intervention. Journal of Research on Educational Effectiveness, 15(3), 532-557. Scherer, Ethan; Catherine Asher; Kim, James, 2021, "Replication Data for: Using a Factorial Design to Maximize the Effectiveness of a Parental Text Messaging Intervention", https://doi.org/10.7910/DVN/XUEU90, Harvard Dataverse, V1, UNF:6:yfNiyfKzlJz+tCM15Lo+DQ== [fileUNF] |
| Licence | CC BY 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XUEU90 |
| Responses | 52,809 |
|---|---|
| Respondents | 3,870 |
| Items | 19 |
| Response categories | 9 |
| Responses per respondent | 13.646 |
| Responses per item | 2779.421 |
| Density | 0.718 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Child (6-12y) |
| sample | Educational |
| construct type | Behavioral, Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | effectiveness of parental text message intervention |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("parental_text_intervention")
# Python
pip install irw
import irw
df = irw.fetch("parental_text_intervention")
| 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 |