Abstract
Every set of alternate weights (i.e., nonleast squares weights) in a multiple regression analysis with three or more predictors is associated with an infinite class of weights. All members of a given class can be deemed fungiblebecause they yield identical SSE (sum of squared errors) and R 2 values. Equations for generating fungible weights are reviewed and an example is given that illustrates how fungible weights can be profitably used to evaluate parameter sensitivity in multiple regression.
Original language | English (US) |
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Pages (from-to) | 691-703 |
Number of pages | 13 |
Journal | Psychometrika |
Volume | 73 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2008 |
Keywords
- Alternate weights
- Fungible weights
- Multiple regression
- Parameter sensitivity