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Table 3 Reliability and validity of data aggregated at the unit level

From: Patterns of research utilization on patient care units

Variable

ANOVA

Degrees of Freedom

ICC(1)

ICC(2)

η2

ω2

Alpha

Overall RU

5.83**

6,264

0.11

0.83

0.12

0.00

--

Authority

2.85*

6,303

0.04

0.65

0.05

0.00

--

Attitude

1.08

6,303

0.00

0.07

0.02

0.00

--

Intent

2.34*

6,298

0.03

0.57

0.05

0.00

--

Belief

2.43*

6,285

0.03

0.59

0.05

0.00

0.85

People support

4.60**

6,181

0.09

0.78

0.14

0.00

0.89

Organizational support

21.56**

6,204

0.34

0.95

0.40

0.28

0.85

Re-sequencing

12.21**

6,359

0.19

0.92

0.17

0.06

0.81

Students

1.57

6,133

0.02

0.36

0.07

0.00

0.75

Acuity

16.15**

6,364

0.24

0.94

0.21

0.11

0.84

Coworker support

2.36*

6,149

0.06

0.58

0.09

0.03

0.72

Education

1.46

6,144

0.02

0.32

0.06

0.00

0.64

Behavior

1.62

6,152

0.03

0.38

0.06

0.00

--

Creativity

0.86

6,155

0.01

0.11

0.03

0.00

--

Efficiency

0.92

6,154

0.01

0.12

0.04

0.00

--

Total PRN

260.32**

6,1334

0.59

1.00

0.54

0.48

--

Total CT

1.54

6,140

0.03

0.36

0.06

0.00

--

  1. (a) Analysis of variance (ANOVA): Measure used to compare differences in mean scores across seven units;
  2. (b) p value for ANOVA F-statistics:* p < .05; **p < .01. The denominator, degree of freedom, differs for some variables owing to different instruments;
  3. (c) ICC = interclass correlation;
  4. (d) η2: proportion of total information in a given factor at the individual level, which is captured by aggregated data;
  5. (e) ω2: provides a relative measure of the strength of an independent variable, small effect < 0.06; medium effect, 0.06–0.15; large effect > 0.15