9,988 responses from 1,004 respondents to 10 items.
| Description | IPIP Assertiveness Scale |
|---|---|
| Reference | Goldberg, L. R., Johnson, J. A., Eber, H. W., Hogan, R., Ashton, M. C., Cloninger, C. R., & Gough, H. C. (2006). The International Personality Item Pool and the future of public-domain personality measures. Journal of Research in Personality,40, 84–96 |
| DOI | 10.1016/j.jrp.2005.08.007 |
| Licence | CC BY 4.0 |
| Source data | https://openpsychometrics.org/_rawdata/ |
| Responses | 9,988 |
|---|---|
| Respondents | 1,004 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.948 |
| Responses per item | 998.800 |
| Density | 0.995 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Behavioral |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | IPIP Assertiveness Scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | International Personality Item Pool (IPIP) Assertiveness scale |
|---|---|
| Mean words per item | 5.800 |
| Mean characters per item | 28.400 |
| Mean characters per response | 14 |
| Flesch-Kincaid grade level | 3.151 |
cov_agecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ipip_openpsychometrics_as")
# Python
pip install irw
import irw
df = irw.fetch("ipip_openpsychometrics_as")
| 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 |