| Plagiarism {GLMMRR} | R Documentation |
An Experimental Survey Measuring Plagiarism Using the Crosswise Model
Description
A dataset containing the responses to sensitive questions about plagiarism and other attributes of 812 students. The crosswise model (CM) and direct questioning (DQ) were utilized to gather the data. Each row holds the response to one question for one student. The variables are as follows:
Usage
data(Plagiarism)
Format
A data frame in long format with 812 rows and 24 variables
Details
id. Identification code of the student
question. Which question was asked (1 and 3: Partial Plagiarism, 2 and 4: Severe Plagiarism)
response. Binary randomized response
gender. Gender of the student (0: male, 1: female)
age. Age in years
nationality. Nationality of the student (0: German or Swiss, 1: other)
no_papers. Number of papers
uni. Location of data collection (1: ETH Zurich, 2: LMU Munich, 3: University Leipzig)
course. Course in which the data was collected
Aspired_Degree. Aspired degree of the student
Semester. semesters enrolled
ur_none. Used resources: none
ur_books. Used resources: books
ur_art. Used resources: articles
ur_int. Used resources: internet
ur_fsp. Used resources: fellow students' papers
ur_other. Used resources: other
preading. Proofreading
gradesf. Satisfaction with grades
pp. Plagiarism indicator (0: Severe Plagiarism, 1: Partial Plagiarism)
RR. Randomized Response indicator (0: DQ, 1: Crosswise)
RRp1. Randomized Response parameter p1
RRp2. Randomized Response parameter p2
RRmodel. Randomized Response Model
Author(s)
Ben Jann and Laurcence Brandenberger
References
doi: 10.7892/boris.51190