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Table 3 Reliability of Data Aggregated Unit Level Variables

From: Assessment of variation in the alberta context tool: the contribution of unit level contextual factors and specialty in Canadian pediatric acute care settings

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
  1. F = test statistic from one-way random effect ANOVA
  2. 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:
  3. 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]);
  4. 2. ICC(2) = (BMS - WMS)/BMS;
  5. 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).
  6. 4. ω2 = (SSB - [N - 1] WMS)/(SST + WMS).