frikha_2023_pe_acrs
3,696 responses from 308 respondents to 12 items.
About this table
| Description | Perceived E-learning Acceptance and Course Rating Scale (PE-ACRS); 12 items (q1–q12); N=308; 1–5 Likert; university students in Saudi Arabia |
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| Reference | Frikha, M. (2023). gender differences in motivation PNS and academic achievement [Dataset]. Harvard Dataverse. doi:10.7910/DVN/UOBDRV |
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| DOI | 10.1371/journal.pone.0297822. |
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| Licence | CC0 1.0 |
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| Source data | https://doi.org/10.7910/DVN/UOBDRV |
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Size and shape
| Responses | 3,696 |
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| Respondents | 308 |
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| Items | 12 |
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| Response categories | 5 |
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| Responses per respondent | 12 |
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| Responses per item | 308 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| 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) | ara |
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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 | Physical Education Autonomy Relatedness Competence Scale (PE-ARCS) |
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| Mean words per item | 7.083 |
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| Mean characters per item | 32.083 |
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| Mean characters per response | 8.200 |
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| Flesch-Kincaid grade level | 2.304 |
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Columns
cov_agecov_bmicov_elearning_experiencecov_gendercov_gpacov_universityiditemresp
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("frikha_2023_pe_acrs")
# Python
pip install irw
import irw
df = irw.fetch("frikha_2023_pe_acrs")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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