peng_2024_grit
2,480 responses from 310 respondents to 8 items.
About this table
| Description | 8-item grit scale (consistency of interest + perseverance of effort), 1-5, Chinese EFL students. 310 respondents x 8 items = 2480 responses. |
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| Reference | Peng, J. (2024). Grit, Emotions, and English learning Achievement [Data set]. Mendeley Data. https://doi.org/10.17632/ddy7jc4mvb |
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| Licence | CC BY 4.0 |
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| Source data | https://data.mendeley.com/datasets/ddy7jc4mvb |
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Size and shape
| Responses | 2,480 |
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| Respondents | 310 |
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| Items | 8 |
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| Response categories | 5 |
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| Responses per respondent | 8 |
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| Responses per item | 310 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Child (<18y) |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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| sample | Educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | chi |
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Columns
cov_agecov_genderiditemresp
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("peng_2024_grit")
# Python
pip install irw
import irw
df = irw.fetch("peng_2024_grit")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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