Viewing variable 103 of 753
Previous Variable Next Variable| Variable Name | df_qwi_sr |
| Label | Degrees of freedom for QWI: separation rate |
| Codebook | National QWI |
| Concept | |
| Type | numeric |
| Direct Link | df_qwi_sr |
Summary Statistics
Full Description
Degrees of freedom for a generic variable `X` are defined as:
`df[\bar{X}_{agkt}] =\ (M-1)(1 + 1/(M+1) \frac{1/M sum_{l=1}^M V^{(l)} [\hat{X}_{agkt}]}{B[\bar{X}_{agkt}]})^2`
where `V^{(l)}[\hat{X}_{agkt}]` and `B[\bar{X}_{agkt}]` are respectively the within implicate variance and the between implicate variance of `X`.