srivani_2022_education4
1,575 responses from 145 respondents to 11 items.
About this table
| Description | 11-item Education 4.0/English-learning agreement scale (0-2), engineering students, n=145, India |
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| Reference | Srivani V, Hariharasudan A, Nawaz N, Ratajczak S (2022). Impact of Education 4.0 among engineering students for learning English language. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0261717 |
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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.0261717 |
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Size and shape
| Responses | 1,575 |
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| Respondents | 145 |
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| Items | 11 |
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| Response categories | 3 |
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| Responses per respondent | 10.862 |
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| Responses per item | 143.182 |
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| Density | 0.987 |
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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) | 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 | Questionnaire (Impact of Education 4.0 among Engineering Students for Learning English Language) |
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| Mean words per item | 14.364 |
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| Mean characters per item | 96.182 |
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| Mean characters per response | 8.667 |
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| Flesch-Kincaid grade level | 12.193 |
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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("srivani_2022_education4")
# Python
pip install irw
import irw
df = irw.fetch("srivani_2022_education4")
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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