mpsycho_wilpat
36,984 responses from 804 respondents to 46 items.
About this table
| Description | Wilson-Patterson conservatism scale |
|---|
| Licence | GPL-2.0 |
|---|
| Source data | https://cran.r-project.org/web/packages/MPsychoR/index.html |
|---|
Size and shape
| Responses | 36,984 |
|---|
| Respondents | 804 |
|---|
| Items | 46 |
|---|
| Response categories | 3 |
|---|
| Responses per respondent | 46 |
|---|
| Responses per item | 804 |
|---|
| Density | 1 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| construct type | Opinion/attitude |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
| construct name | Wilson-Patterson Conservatism Scale |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Wilson-Patterson conservatism scale |
|---|
| Mean words per item | 1.804 |
|---|
| Mean characters per item | 14.478 |
|---|
| Mean characters per response | 9 |
|---|
| Flesch-Kincaid grade level | 17.244 |
|---|
Columns
countrycov_agecov_genderiditemleftrightlibconsresp
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("mpsycho_wilpat")
# Python
pip install irw
import irw
df = irw.fetch("mpsycho_wilpat")
Version and provenance
| 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 |
|---|