35,111 responses from 984 respondents to 40 items.
| Description | Survey data on public and private university students' mental health symptoms as a consequence of internet usage |
|---|---|
| Reference | Mwakilama, Elias; Jamu, Edister; Senganimalunje, Limbika ; Manda, Tiwonge (2022), “Data on Internet Addiction and Mental Health among university students in Malawi”, Mendeley Data, V3, doi: 10.17632/xbfbcy5bhv.3 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/xbfbcy5bhv/3 |
| Responses | 35,111 |
|---|---|
| Respondents | 984 |
| Items | 40 |
| Response categories | 6 |
| Responses per respondent | 35.682 |
| Responses per item | 877.775 |
| Density | 0.892 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Affective/mental health, Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Internet Addiction and Mental Health Survey |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mental_health_malawi")
# Python
pip install irw
import irw
df = irw.fetch("mental_health_malawi")
| 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 |