Table 3.
Reliability of Data Aggregated Unit Level Variables
| Variable | WMS | F | BMS | ICC(1) | ICC(2) | η2 | ω2 | PROB |
|---|---|---|---|---|---|---|---|---|
| MBI Cynicism | 1.4412 | 7.6249 | 10.9893 | 0.2013 | 0.8688 | 0.2274 | 0.1974 | 0.0000 |
| MBI Efficacy | 0.9902 | 12.0921 | 11.9737 | 0.2968 | 0.9173 | 0.3174 | 0.2909 | 0.0000 |
| Support for Innovative ideas | 0.6401 | 3.6563 | 2.3405 | 0.0918 | 0.7265 | 0.1226 | 0.0890 | 0.0000 |
F = test statistic from one-way random effect ANOVA
The source table from ANOVA was used to calculate Interclass correlation 1 (ICC 1), Interclass correlation 2 (ICC 2), Eta Square (η2), and Omega Square (ω2) as follows:
1. ICC(1) = (BMS - WMS)/(BMS + [K - 1] WMS), where BMS is the between-group mean square, WMS is the within-group mean square, and K is the number of subjects per group. The average K for unequal group size was calculated as K = (1/[N - 1]) (ΣK - [ΣK2 /ΣK]);
2. ICC(2) = (BMS - WMS)/BMS;
3. η2 = SSB/SST, where SSB is the sum of squares between groups and SST is the sum of squares total; and ω2 = (SSB - [N - 1] WMS)/(SST + WMS).
4. ω2 = (SSB - [N - 1] WMS)/(SST + WMS).