Table 1 Summary of variables for classification tree analysis
Variable name | Variable type | Actual Range | Mean score |
|---|---|---|---|
Risk (Derived from the language course grade) | Binary | 1-At-risk Performance 0-Satisfactory Performance | – |
Effort (No. of credits taken when taking the language course) | Discrete Number | 6–25.5 | 19.09 |
CreditforGr (No. of credits needed to complete for graduation) | Discrete number | 61–96 | 68.71 |
CuGPA (Current GPA for the semester taking the language course) | Scale | 0.63–3.71 | 2.80 |
DSE (English Public Exam Score) | Scale | 0–5 | 2.15 |
CovGPA (Graduating GPA from the sub-degree program) | Scale | 0.458–1 | 0.83 |
Type of institution (affiliated with the research site or not) | Binary | 1-Yes 0-No | – |
Type of sub-degree (Higher diploma or associate degree) | Category | 1-Higher diploma 2-Associate degree | – |