3,695 responses from 231 respondents to 16 items.
One of 10 tables from the same source; this one measures Lay’s General Procrastination Scale. The others are listed under Related tables.
| Description | Lay’s General 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 | 3,695 |
|---|---|
| Respondents | 231 |
| Items | 16 |
| Response categories | 5 |
| Responses per respondent | 15.996 |
| Responses per item | 230.938 |
| Density | 1.000 |
| 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 | Lay’s General Procrastination Scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Lay’s General Procrastination Scale |
|---|---|
| Mean words per item | 12.875 |
| Mean characters per item | 69 |
| Mean characters per response | 17.600 |
| Flesch-Kincaid grade level | 7.418 |
This codebook is reconstructed by the IRW from the IRW data standard. 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 | ||
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. | not traced |
resp | IRW standard Response value. | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
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("gps_vangsness_2019")
# Python
pip install irw
import irw
df = irw.fetch("gps_vangsness_2019")
@article{https://doi.org/10.17605/osf.io/r7wcx,
doi = {10.17605/OSF.IO/R7WCX},
url = {https://osf.io/r7wcx/},
author = {Vangsness, Lisa and Voss, Nathaniel and Maddox, Noelle and Devereaux, Victoria and Martin, Emma and Nystrom, Caytlyn},
title = {Self-Report Measures of Procrastination Exhibit Inconsistent Concurrent Validity, Predictive Validity, and Psychometric Properties},
publisher = {Open Science Framework},
year = {2022}
}
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse v71.0 |
| Redivis dataset DOI | 10.57761/f5n4-k797 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |