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Table 1 Frequency of study designs with statistical power ≥ 0.8 by study characteristic (N = 17,496 designs)

From: Required sample size to detect mediation in 3-level implementation studies

Study characteristic

Parameter value

Total N of designs

N of adequately powered designs (≥ .8)

Proportion of adequately powered designs (% ≥.8)

Total

 

17,496

463

2.6%

a3

(standardized X→M coefficient)

0.14

5832

0

0.0%

0.39

5832

46

0.8%

0.59

5832

417

7.2%

b3

(standardized M→Y coefficient)

0.14

5832

0

0.0%

0.39

5832

32

0.5%

0.59

5832

431

7.4%

c’3

(standardized direct effect)

0.14

8748

161

1.8%

0.39

8748

302

3.5%

ICCM3

(level-3 intraclass correlation coefficient for mediator M)

0.05

5832

36

0.6%

0.10

5832

125

2.1%

0.20

5832

302

5.2%

ICCY2

(level-2 intraclass correlation coefficient for outcome Y)

0.05

5832

136

2.3%

0.10

5832

148

2.5%

0.20

5832

179

3.1%

ICCY3

(level-3 intraclass correlation coefficient for outcome Y)

0.05

5832

140

2.4%

0.10

5832

161

2.8%

0.20

5832

162

2.8%

N3

(level-3 sample size; N of highest-level units/clusters, e.g., organizations)

10

4374

0

0.0%

20

4374

0

0.0%

40

4374

110

2.5%

60

4374

353

8.1%

N2

(level-2 sample size; N of nested intermediate-level units per cluster, e.g., providers)

5

5832

42

0.7%

10

5832

129

2.2%

20

5832

292

5.0%

N1

(level-1 sample size; N of nested lowest-level units per intermediate unit, e.g., patients)

3

5832

131

2.2%

6

5832

159

2.7%

12

5832

173

3.0%

Total sample size

(N3* N2* N1)

150

486

0

0.0%

300

1458

0

0.0%

600

2916

0

0.0%

900

486

9

1.9%

1200

3402

8

0.2%

1800

972

43

4.4%

2400

2916

33

1.1%

3600

1458

112

7.7%

4800

1458

39

2.7%

7200

972

116

11.9%

9600

486

30

6.2%

14,400

486

73

15.0%

  1. Note: Power was calculated for N = 17,496 designs based on Monte Carlo simulations (500 replications per design) conducted in Mplus 8. All models represent 3-2-1 mediation designs estimated using maximum likelihood with robust standard errors based on a linear multilevel model with manifest variables (MVM). For each design, power was calculated as the proportion of replications (out of 500) for which the null hypothesis, H0: a3*b3 = 0, was rejected based on the Sobel test, assuming α = 0.05 (two-tailed)