corti_2023_academic_adaptation
6,658 responses from 953 respondents to 7 items.
About this table
| Description | 7-item Likert scale (1-5) measuring current academic adaptation/satisfaction among first-year Spanish social-science university students (N=953). |
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| Reference | Corti et al. (2023). Initial adaptation among university student: The case of the social sciences. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0294440 |
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| Licence | CC BY 4.0 |
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| Source data | https://doi.org/10.1371/journal.pone.0294440 |
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Size and shape
| Responses | 6,658 |
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| Respondents | 953 |
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| Items | 7 |
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| Response categories | 5 |
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| Responses per respondent | 6.986 |
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| Responses per item | 951.143 |
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| Density | 0.998 |
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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) | spa |
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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 | First Trimester Assessment Questionnaire (FTAQ) |
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| Mean words per item | 6.571 |
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| Mean characters per item | 37.857 |
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| Mean characters per response | 2 |
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| Flesch-Kincaid grade level | 6.982 |
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Columns
cov_edadcov_field_of_studycov_sexoiditemresp
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("corti_2023_academic_adaptation")
# Python
pip install irw
import irw
df = irw.fetch("corti_2023_academic_adaptation")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_5 v4.0 |
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| Redivis dataset DOI | 10.57761/yvjw-0981 |
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| Manifest pin for this IRW version | v4.0 |
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| Metadata source | irw_meta v23.0 |
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