fatima_2025_mslq
28,269 responses from 349 respondents to 81 items.
About this table
| Description | Motivated Strategies for Learning Questionnaire (MSLQ), clinical clerkship students, 81 items, 1-7, N=349 |
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| Reference | Fatima, S., et al. (2025). Validation of the Motivated Strategies for Learning Questionnaire among clinical clerkship students in Malaysia. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0319763 |
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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.0319763 |
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Size and shape
| Responses | 28,269 |
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| Respondents | 349 |
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| Items | 81 |
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| Response categories | 7 |
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| Responses per respondent | 81 |
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| Responses per item | 349 |
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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) | 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 | Motivated Strategies for Learning Questionnaire (MSLQ), adapted for clinical clerkship |
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| Mean words per item | 18.025 |
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| Mean characters per item | 99.284 |
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| Mean characters per response | 6.571 |
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| Flesch-Kincaid grade level | 9.882 |
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Columns
cov_academic_yearcov_agecov_cl_postingcov_genderiditemresp
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("fatima_2025_mslq")
# Python
pip install irw
import irw
df = irw.fetch("fatima_2025_mslq")
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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