3,729,840 responses from 124,328 respondents to 30 items.
| Description | Achievement Motivation Scale, 30 items on a 1-4 scale, Chinese college students. 3,729,840 responses from 124,328 respondents on 30 items. |
|---|---|
| Reference | Tu, S., & Xiao, Q. (2022). Measurement of achievement motivation for college students [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7219876 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/7219876 |
| Responses | 3,729,840 |
|---|---|
| Respondents | 124,328 |
| Items | 30 |
| Response categories | 4 |
| Responses per respondent | 30 |
| Responses per item | 124,328 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_gendercov_gradecov_living_costcov_poverty_typecov_receives_aidcov_residencecov_schoolcov_school_levelcov_source_numberiditemresp
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:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("tu_2022_achievement_motivation")
# Python
pip install irw
import irw
df = irw.fetch("tu_2022_achievement_motivation")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |