Table 4 Percentage of Rejected Replications with Different
Levels of Effects and Measurement Error (n = 2,000)
Excel | CSV
| C |
0 |
|
5.8 |
5.6 |
4.3 |
4.4 |
4.6 |
3.6 |
5.6 |
5.6 |
4.4 |
| C |
0.2 |
|
12.4 |
12.2 |
9.4 |
11.5 |
11.6 |
8.9 |
11.1 |
10.6 |
8.8 |
| C |
0.4 |
|
57 |
52.7 |
47.5 |
58.1 |
54 |
48.6 |
56.2 |
52.2 |
48 |
| C |
0.6 |
|
99.4 |
98.7 |
98.2 |
99.2 |
98.5 |
97.8 |
99 |
98.4 |
97.9 |
| B |
0 |
|
5.6 |
5.8 |
4.6 |
3.2 |
3.2 |
2.6 |
5.5 |
5.4 |
4.5 |
| B |
0.2 |
|
12 |
11.6 |
9 |
9.8 |
9.4 |
7.4 |
11.8 |
11.2 |
9.3 |
| B |
0.4 |
|
58.4 |
54.8 |
49.1 |
50.2 |
47 |
42.3 |
58.6 |
53.7 |
48.4 |
| B |
0.6 |
|
99.2 |
98.6 |
98.1 |
98.8 |
97.9 |
97 |
99.2 |
98.6 |
98.1 |
Key: C = classical measurement errors; B = Berkson measurement
errors.
Note: The null hypothesis was rejected for large values of the
test statistic at 5% level (one-tailed test).
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