| Students {FPDclustering} | R Documentation |
Statistics 1 students
Description
Data set collected in 2022 that contains 10 variables recorded on a convenience sample of 253 students enrolled in the first year at the University od Naples FedericoII and attending an introductory Statistics course.
Usage
data(Students)Format
A data frame with 253 observations and 10 variable.
- Sex
gender, binary
- HS_qual
high school type, categorical
- Stud_stat
prior knowladge of statistics, binary
- Course_modality
course modality of attendance (in presence, online, mixed), categorical
- HE_Parents
parents' education degree, categorical
- PMP
mathematical prerequisits for psychometric, continuous
- SAS
statistical anxiety sale, continuous
- RAI
relative authonomy index, continuous
- S_EFF
self-efficacy, continuous
- COG
cognitive competence, continuous
References
R. Fabbricatore. Latent class analysis for proficiency assessment in higher education: integrating multidimensional latent traits and learning topics. Ph.D. thesis, University of Naples Federico II, 2023
Examples
data(Students)