3,713 responses from 233 respondents to 16 items.
| Description | Tuckman’s Procrastination Scale |
|---|---|
| Reference | Vangsness, L., Voss, N. M., Maddox, N., Devereaux, V., Martin, E., & Nystrom, C. (2022, January 24). Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties. https://doi.org/10.17605/OSF.IO/R7WCX |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/r7wcx/ |
| Responses | 3,713 |
|---|---|
| Respondents | 233 |
| Items | 16 |
| Response categories | 5 |
| Responses per respondent | 15.936 |
| Responses per item | 232.062 |
| Density | 0.996 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Tuckman’s Procrastination Scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Tuckman’s Procrastination Scale |
|---|---|
| Mean words per item | 10.562 |
| Mean characters per item | 54.875 |
| Mean characters per response | 17.600 |
| Flesch-Kincaid grade level | 5.287 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("tpi_vangsness_2019")
# Python
pip install irw
import irw
df = irw.fetch("tpi_vangsness_2019")
| 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 |