On a separate sheet of paper, create a chart similar to Table 16.4 to find many of the values necessary to evaluate the ANOVA.

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On a separate sheet of paper, create a chart similar to Table 16.4 to find many of the values necessary to evaluate the ANOVA.

INCOME LEVELS
Low
Lower-Middle
Upper-Middle
High
Nation
L.E.
Nation
L.E.
Nation
L.E.
Nation
L.E.
Cambodia
62
Bolivia
67
China
75
Australia
82
Malawi
54
Guatemala
71
Colombia
74
Canada
81
Nepal
Niger
68
India
66
Jordan
73
Japan
Spain
U.S.
83
57
Philippines
69
Libya
75
82
Zimbabwe
56
Vietnam
73
Russia
69
79
Transcribed Image Text:INCOME LEVELS Low Lower-Middle Upper-Middle High Nation L.E. Nation L.E. Nation L.E. Nation L.E. Cambodia 62 Bolivia 67 China 75 Australia 82 Malawi 54 Guatemala 71 Colombia 74 Canada 81 Nepal Niger 68 India 66 Jordan 73 Japan Spain U.S. 83 57 Philippines 69 Libya 75 82 Zimbabwe 56 Vietnam 73 Russia 69 79
Table 16.4 Statistical Power Tables for Factorial ANOVA
Degrees of freedom for effect 1, alpha = .05
%3D
Population eta squared
Power
.01
.05
.10
15
.20
.25
.30
.40
.50
.60
.50
193
38
18
12
9.
7
4.
3.
.70
310
60
29
18
13
10
8.
6.
.80
393
76
36
23
17
13
10
7
.90
526
101
48
31
9.
17
13
6.
.95
651
125
60
39
21
16
11
8.
.99
920
176
84
53
38
29
22
15
10
Degrees of freedom for effect = 2, alpha = .05
Population eta squared
Power
.01
.05
.10
.15
.20
25
.30
.40
.50
.60
.50
165
32
16
10
8
6.
3
3.
.70
255
50
24
16
11
6.
.80
319
62
30
19
14
11
6.
.90
417
81
39
25
18
14
11
.95
511
99
47
30
22
16
13
6.
.99
708
137
65
41
29
22
18
12
8.
lo 1odmun ev oldeiney smoo100 adT.(lgid 8wol
m n01 baa (id
A
Source: Adapted from Jaccard and Becker (2009).
voda
16.10 FOLLOW-UP TESTS
16.10.1 Nature of a Two-Way Interaction
One of the most common ways to illustrate a significant interaction in a two-way facto-
rial ANOVA is to graph the cell means (as in Figure 16.2) or to present a table of cell means
2.
3.
4.
LO LO
2.
3.
3.
4.
4.
4.
LO
4.
LO
22
27
Transcribed Image Text:Table 16.4 Statistical Power Tables for Factorial ANOVA Degrees of freedom for effect 1, alpha = .05 %3D Population eta squared Power .01 .05 .10 15 .20 .25 .30 .40 .50 .60 .50 193 38 18 12 9. 7 4. 3. .70 310 60 29 18 13 10 8. 6. .80 393 76 36 23 17 13 10 7 .90 526 101 48 31 9. 17 13 6. .95 651 125 60 39 21 16 11 8. .99 920 176 84 53 38 29 22 15 10 Degrees of freedom for effect = 2, alpha = .05 Population eta squared Power .01 .05 .10 .15 .20 25 .30 .40 .50 .60 .50 165 32 16 10 8 6. 3 3. .70 255 50 24 16 11 6. .80 319 62 30 19 14 11 6. .90 417 81 39 25 18 14 11 .95 511 99 47 30 22 16 13 6. .99 708 137 65 41 29 22 18 12 8. lo 1odmun ev oldeiney smoo100 adT.(lgid 8wol m n01 baa (id A Source: Adapted from Jaccard and Becker (2009). voda 16.10 FOLLOW-UP TESTS 16.10.1 Nature of a Two-Way Interaction One of the most common ways to illustrate a significant interaction in a two-way facto- rial ANOVA is to graph the cell means (as in Figure 16.2) or to present a table of cell means 2. 3. 4. LO LO 2. 3. 3. 4. 4. 4. LO 4. LO 22 27
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