1,584 responses from 132 respondents to 12 items.
| Description | Consideration of Future Consequences (CFC) |
|---|---|
| Reference | Kurumbur Varadharajan, Vaidhyanatha Balaji, 2019, "CFC Dataset without AP - Vaidhyanatha Balaji.tab", CFC-12 Data used for “Relationship of Academic Procrastination and Consideration of Future Consequences – An Empirical Study among University Students, https://doi.org/10.7910/DVN/1KDJTZ/QTQOC4, Harvard Dataverse, V1, UNF:6:HAttubnAkzfOirP1+LgpMg== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/1KDJTZ/QTQOC4&version=1.0 |
| Responses | 1,584 |
|---|---|
| Respondents | 132 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 132 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| construct name | RELATIONSHIP OF ACADEMIC PROCRASTINATION AND CONSIDERATION OF FUTURE CONSEQUENCES – AN EMPIRICAL STUDY AMONG UNIVERSITY STUDENTS |
cov_agecov_educov_nationalityiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("parc_balaji_2017")
# Python
pip install irw
import irw
df = irw.fetch("parc_balaji_2017")
| 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 |