marcussonclavertz_2019_velten
8,454 responses from 106 respondents to 80 items.
About this table
| Description | Velten Mood Induction Procedure statements (80 items, rated 1-very unhappy to 9-very happy), online validation, N=106 |
|---|
| Reference | Marcusson-Clavertz D, Kjell ONE, Persson SD, Cardeña E (2019). Online validation of combined mood induction procedures. PLOS ONE, 14(1), e0217848. https://doi.org/10.1371/journal.pone.0217848 |
|---|
| DOI | 10.1371/journal.pone.0217848 |
|---|
| Licence | CC BY 4.0 |
|---|
| Source data | https://doi.org/10.1371/journal.pone.0217848.s002 |
|---|
Size and shape
| Responses | 8,454 |
|---|
| Respondents | 106 |
|---|
| Items | 80 |
|---|
| Response categories | 9 |
|---|
| Responses per respondent | 79.755 |
|---|
| Responses per item | 105.675 |
|---|
| Density | 0.997 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Velten Mood Induction Procedure (80-statement pool) |
|---|
| Mean words per item | 8.225 |
|---|
| Mean characters per item | 42.075 |
|---|
| Mean characters per response | 4 |
|---|
| Flesch-Kincaid grade level | 4.224 |
|---|
Columns
cov_agecov_devicecov_sexiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("marcussonclavertz_2019_velten")
# Python
pip install irw
import irw
df = irw.fetch("marcussonclavertz_2019_velten")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
|---|
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
|---|
| Manifest pin for this IRW version | v7.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|