tutor_marks: Tutor marking data
In profandyfield/discovr: Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"
tutor_marks R Documentation
Tutor marking data
Description
A dataset from Field, A. P. (2023). Discovering statistics using R and RStudio (2nd ed.). London: Sage.
Usage
tutor_marks
Format
A tibble with 32 rows and 3 variables.
Details
It is common that lecturers obtain reputations for being ‘hard’ or ‘light’ markers, but there is often little
to substantiate these reputations. A group of students investigated the consistency of marking by submitting the
same essays to four different lecturers. The outcome was the percentage mark given by each lecturer and the
predictor was the lecturer who marked the report. The fictitious data contains three variables:
-
id: participant's id
-
tutor: The tutor who marked the work
-
exam: The mark on the essay (%)
Source
profandyfield/discovr documentation built on May 4, 2024, 4:32 p.m.
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| tutor_marks | R Documentation |
Tutor marking data
Description
A dataset from Field, A. P. (2023). Discovering statistics using R and RStudio (2nd ed.). London: Sage.
Usage
tutor_marks
Format
A tibble with 32 rows and 3 variables.
Details
It is common that lecturers obtain reputations for being ‘hard’ or ‘light’ markers, but there is often little to substantiate these reputations. A group of students investigated the consistency of marking by submitting the same essays to four different lecturers. The outcome was the percentage mark given by each lecturer and the predictor was the lecturer who marked the report. The fictitious data contains three variables:
-
id: participant's id
-
tutor: The tutor who marked the work
-
exam: The mark on the essay (%)
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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