zhang_2024_viewer_dsp
1,950 responses from 325 respondents to 6 items.
About this table
| Description | 6-item viewer deceptive self-presentation scale (1-5 Likert), TikTok live-streaming gift-giving study |
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| Reference | Zhang Z, Liu F (2024) Gift-giving intentions in pan-entertainment live streaming: Based on social exchange theory. PLOS ONE 19(2): e0296908. |
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| DOI | 10.1371/journal.pone.0296908 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0296908.s002 |
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Size and shape
| Responses | 1,950 |
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| Respondents | 325 |
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| Items | 6 |
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| Response categories | 5 |
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| Responses per respondent | 6 |
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| Responses per item | 325 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | Internet-based |
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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) | chi |
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Columns
cov_agecov_gendercov_incomecov_total_spendiditemresp
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("zhang_2024_viewer_dsp")
# Python
pip install irw
import irw
df = irw.fetch("zhang_2024_viewer_dsp")
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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