yuebo_2024_netbenefit
3,920 responses from 245 respondents to 16 items.
About this table
| Description | 16-item Net Benefit scale (1-5 Likert) from an online-learning-success survey of adult learners in Western China |
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| Reference | Yuebo L, Halili SH, Abdul Razak R (2024) Online learning success model for adults in open and distance education in Western China. PLoS ONE. |
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| DOI | 10.1371/journal.pone.0297515 |
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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.0297515.s001 |
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Size and shape
| Responses | 3,920 |
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| Respondents | 245 |
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| Items | 16 |
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| Response categories | 5 |
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| Responses per respondent | 16 |
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| Responses per item | 245 |
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| Density | 1 |
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| Longitudinal | FALSE |
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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) | chi |
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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("yuebo_2024_netbenefit")
# Python
pip install irw
import irw
df = irw.fetch("yuebo_2024_netbenefit")
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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