bartoli_2022_badge_notifications
15,135 responses from 1,009 respondents to 15 items.
About this table
| Description | Badge-notification enablement per named app, 15 items, 0/100, N=1009 |
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| Reference | Bartoli, N., et al. (2022). Driven by notifications - exploring the effects of badge notifications on user experience. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0270888 |
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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.0270888 |
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Size and shape
| Responses | 15,135 |
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| Respondents | 1,009 |
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| Items | 15 |
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| Response categories | 2 |
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| Responses per respondent | 15 |
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| Responses per item | 1,009 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | Internet-based |
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| primary language(s) | ita |
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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 | First Impression Click Test: Android smartphone home screen with a single app badge notification |
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| Mean words per item | 1.067 |
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| Mean characters per item | 7.333 |
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| Mean characters per response | 25 |
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| Flesch-Kincaid grade level | 12.915 |
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Columns
cov_agecov_gendercov_groupiditemresp
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("bartoli_2022_badge_notifications")
# Python
pip install irw
import irw
df = irw.fetch("bartoli_2022_badge_notifications")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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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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