33,553 responses from 1,157 respondents to 29 items.
| Description | Academic Motivation Scale |
|---|---|
| Reference | Ribeiro, M. F., Saraiva, V., Pereira, P., & Ribeiro, C. (2019). Academic Motivation Scale: Validity in Portuguese Public Higher Education/Escala de Motivacao Academica: Validacao no Ensino Superior Publico Portugues. RAC-Revista de Administracao Contemporanea, 23(3), 288-311. Ribeiro, M.F.; Saraiva, V.; Pereira, P.; Ribeiro, C., 2019, "Replication Data for: Academic Motivation Scale: Validity in Portuguese Public Higher Education", https://doi.org/10.7910/DVN/KWTMWT, Harvard Dataverse, V1, UNF:6:Q/6Sa/GXyRr6geeedbpt/w== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KWTMWT |
| Responses | 33,553 |
|---|---|
| Respondents | 1,157 |
| Items | 29 |
| Response categories | 7 |
| Responses per respondent | 29 |
| Responses per item | 1,157 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Replication Data for: Academic Motivation Scale: Validity in Portuguese Public Higher Education |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("MotAcademica_Ribeiro_2019")
# Python
pip install irw
import irw
df = irw.fetch("MotAcademica_Ribeiro_2019")
| 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 |