42,290,975 responses from 272,845 respondents to 155 items.
| Description | Murray Needs Theory and Big Five Theory |
|---|---|
| Reference | Anunciacao, L. (2024, December 13). Personality - Murray and Big five theory. Retrieved from osf.io/wkzan |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/wkzan/ |
| Responses | 42,290,975 |
|---|---|
| Respondents | 272,845 |
| Items | 155 |
| Response categories | 7 |
| Responses per respondent | 155 |
| Responses per item | 272,845 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Early (<6y), Adolescent (12-18y) |
| sample | Internet-based |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Personality Factor Inventory |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mbft_anunciacao_2024.r. 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. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | idade |
cov_institution | Covariate | instituição |
cov_profession | Covariate | profissão |
cov_sex | Covariate | sexo |
What item codes and covariate values stand for is in the codebook released with the source data.
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
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("mbft_anunciacao_2024")
# Python
pip install irw
import irw
df = irw.fetch("mbft_anunciacao_2024")
@misc{anunciacao2024personality,
author = {Anunciacao, L.},
title = {Personality - Murray and Big Five Theory},
year = {2024},
month = {December 13},
note = {Retrieved from \url{https://osf.io/wkzan}}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |