nabizadehchianeh_2026_tempsa
27,807 responses from 713 respondents to 39 items.
About this table
| Description | TEMPS-A (Temperament Evaluation of Memphis, Pisa, Paris and San Diego Autoquestionnaire, short form) 39 binary items; N=713 |
|---|
| Reference | Nabizadehchianeh D. (2026). The Trait-State-Experience Pathway: State Affect Links Temperament to Daily Emotional Experience. Harvard Dataverse. |
|---|
| Licence | CC0 1.0 |
|---|
| Source data | https://doi.org/10.7910/DVN/OLOMAI |
|---|
Size and shape
| Responses | 27,807 |
|---|
| Respondents | 713 |
|---|
| Items | 39 |
|---|
| Response categories | 2 |
|---|
| Responses per respondent | 39 |
|---|
| Responses per item | 713 |
|---|
| Density | 1 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| sample | Educational |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
Columns
cov_agecov_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("nabizadehchianeh_2026_tempsa")
# Python
pip install irw
import irw
df = irw.fetch("nabizadehchianeh_2026_tempsa")
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 |
|---|