2,514 responses from 419 respondents to 6 items.
| Description | Life orientation scale |
|---|---|
| Reference | Gallardo-Pujol, D., Rouco, V., Cortijos-Bernabeu, A., Oceja, L., Soto, C. J., & John, O. P. (2022). Factor structure, gender invariance, measurement properties, and short forms of the Spanish adaptation of the Big Five Inventory-2. Psychological Test Adaptation and Development. |
| DOI | 10.1027/2698-1866/a000020 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/kp572/ |
| Responses | 2,514 |
|---|---|
| Respondents | 419 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 6 |
| Responses per item | 419 |
| Density | 1 |
| Longitudinal | FALSE |
| construct type | Affective/mental health |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Life orientation scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Life Orientation Test-Revised (LOT-R) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | -3.400 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("SABFI2_Gallardo_Pujol_2018_LOT")
# Python
pip install irw
import irw
df = irw.fetch("SABFI2_Gallardo_Pujol_2018_LOT")
| 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 |