an_2020_efl_self_regulated
25,725 responses from 525 respondents to 49 items.
About this table
| Description | Technology-based self-regulated English learning strategies scale, Chinese EFL students, 49 items, 1-7, N=525 |
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| Reference | An, Z., et al. (2020). Profiling Chinese EFL students' technology-based self-regulated English learning strategies. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0240094 |
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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.0240094 |
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Size and shape
| Responses | 25,725 |
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| Respondents | 525 |
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| Items | 49 |
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| Response categories | 7 |
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| Responses per respondent | 49 |
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| Responses per item | 525 |
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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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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Technology-based Self-regulated English Learning Strategies Scale (TSELSS) survey battery (Q1-Q26 TSELSS; Q27-Q33 English learning enjoyment/environment items; Q34-Q49 English Language Self-Efficacy Questionnaire) |
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| Mean words per item | 1.102 |
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| Mean characters per item | 20.061 |
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| Mean characters per response | 2.857 |
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| Flesch-Kincaid grade level | 0.536 |
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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("an_2020_efl_self_regulated")
# Python
pip install irw
import irw
df = irw.fetch("an_2020_efl_self_regulated")
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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