quinn_2023_roommate_cesd
26,955 responses from 490 respondents to 20 items.
About this table
| Description | 20-item CES-D depression scale (0-3 Likert), 3 waves, self-report from n=490 first-semester roommate-dyad college freshmen |
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| Reference | Quinn DM, et al (2023). Understanding the role of depressive symptoms in academic outcomes: A longitudinal study of college roommates. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0286709 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0286709 |
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Size and shape
| Responses | 26,955 |
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| Respondents | 490 |
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| Items | 20 |
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| Response categories | 4 |
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| Responses per respondent | 55.010 |
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| Responses per item | 1347.750 |
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| Density | 2.751 |
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| Longitudinal | TRUE |
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Classification
| 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) | eng |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Center for Epidemiologic Studies Depression Scale (CES-D) |
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| Mean words per item | 6.400 |
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| Mean characters per item | 31.250 |
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| Mean characters per response | 42.750 |
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| Flesch-Kincaid grade level | 2.209 |
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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("quinn_2023_roommate_cesd")
# Python
pip install irw
import irw
df = irw.fetch("quinn_2023_roommate_cesd")
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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