matarboumosleh_2017_phq2
824 responses from 416 respondents to 2 items.
About this table
| Description | PHQ-2 depression screener (2 items 0-3 scale) with demographic covariates, Lebanese university students N=416 |
|---|
| Reference | Matar Boumosleh J, Jaalouk D (2017) Depression, anxiety, and smartphone addiction in university students- A cross sectional study. PLOS ONE. |
|---|
| DOI | 10.1371/journal.pone.0182239 |
|---|
| Licence | CC BY 4.0 |
|---|
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0182239.s001 |
|---|
Size and shape
| Responses | 824 |
|---|
| Respondents | 416 |
|---|
| Items | 2 |
|---|
| Response categories | 4 |
|---|
| Responses per respondent | 1.981 |
|---|
| Responses per item | 412 |
|---|
| Density | 0.990 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| sample | Educational |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Patient Health Questionnaire-2 (PHQ-2) |
|---|
| Mean words per item | 6 |
|---|
| Mean characters per item | 39.500 |
|---|
| Mean characters per response | 15.250 |
|---|
| Flesch-Kincaid grade level | 6.417 |
|---|
Columns
cov_agecov_classcov_facultycov_gendercov_personality_typeiditemresp
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("matarboumosleh_2017_phq2")
# Python
pip install irw
import irw
df = irw.fetch("matarboumosleh_2017_phq2")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
|---|
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
|---|
| Manifest pin for this IRW version | v7.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|