1,698,642 responses from 77,211 respondents to 22 items.
One of 3 tables from the same source; this one is the sasc table. The others are listed under Related tables.
| Description | Smartphone Addiction Scale for College Students (SAS-C) responses from a COVID-19 mental health survey of Chinese college students. |
|---|---|
| Reference | Chen, Y., Zhan, Q., & Liu, Z. (2022). Mental health dataset of college students during COVID-19 [Data set]. Science Data Bank. https://doi.org/10.57760/sciencedb.o00115.00089 |
| Licence | CC BY-NC 4.0 |
| Source data | https://download.scidb.cn/download?fileId=63441dc6934f5e4e97ac8f84&path=/V1/Mental health database of college students during COVID-19.sav&fileName=Mental%20health%20database%20of%20college%20students%20during%20COVID-19.sav |
| Responses | 1,698,642 |
|---|---|
| Respondents | 77,211 |
| Items | 22 |
| Response categories | 5 |
| Responses per respondent | 22 |
| Responses per item | 77,211 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Smartphone Addiction Scale for College Students (SAS-C) |
|---|---|
| Mean words per item | 12.864 |
| Mean characters per item | 69.227 |
| Mean characters per response | 10.400 |
| Flesch-Kincaid grade level | 6.935 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, process_chen_2022_mental_health.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_anxiety | Covariate | made in the build script |
cov_depression | Covariate | made in the build script |
cov_negative | Covariate | made in the build script |
cov_positive | Covariate | made in the build script |
cov_psu | Covariate | made in the build script |
cov_region | Covariate | made in the build script |
cov_sex | Covariate | made in the build script |
| Other columns | ||
construct | From source Not defined by the IRW standard; the source column’s codebook entry gives its meaning. | construct_name |
What item codes and covariate values stand for is in the codebook released with the source data.
Licence: CC BY-NC 4.0 — non-commercial use only.
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 (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("chen_2022_sasc")
# Python
pip install irw
import irw
df = irw.fetch("chen_2022_sasc")
@misc{https://doi.org/10.57760/sciencedb.o00115.00089,
doi = {10.57760/SCIENCEDB.O00115.00089},
url = {https://www.scidb.cn/detail?dataSetId=68fb3d2f46d94e7cb3e7b9adf3262e64},
author = {{Yaru Chen} and {Qisheng Zhan} and {Zhengkui Liu}},
keywords = {Psychology, FOS: Psychology, problematic smartphone usage, depression, anxiety, college students, COVID-19},
language = {en},
title = {Mental health dataset of college students during COVID-19},
publisher = {Science Data Bank},
year = {2022},
copyright = {Creative Commons Attribution Non Commercial 4.0 International}
}
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v43.0 |