Tobit modeling for dependent-sample t-tests and moderated regression with ceiling or floor data
Lijuan Wang, Ruoxuan Li · 2025
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Description
Lijuan Wang and Ruoxuan Li adapt a classic censored-data model to fix tests that pile up at a ceiling or floor. Their 2025 paper deals with paired t-tests and moderated regression in mind and behavior research, where top or bottom scores are common. Treating capped scores as true values skews results. Their Tobit-style models, fit by two estimation routes, treat capped scores as bounds instead.
In simulations, the stock route gave biased values, too many false hits, and poor interval coverage, even with light capping. Their models stayed accurate under far heavier capping. Real data cases show the same gap. Code and sample data are shared to spread the method.
Catalog record
| CREATOR | Lijuan Wang, Ruoxuan Li |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 152 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |