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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).
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BMC Health Services Research

ISSN: 1472-6963

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