Output Created |
22 Jun 98 11:50:32 | |
---|---|---|
Comments |
| |
Input |
Data |
A:\guns\spss\exp1data.sav |
Filter |
<none> | |
Weight |
<none> | |
Split File |
<none> | |
N of Rows in Working Data File |
32 | |
Missing Value Handling |
Definition of Missing |
User-defined missing values for dependent variables are treated as missing. |
Cases Used |
Statistics are based on cases with no missing values for any dependent variable or factor used. | |
Syntax |
EXAMINE | |
Resources |
Elapsed Time |
0:00:00.39 |
|
Cases | |||||
---|---|---|---|---|---|---|
Valid |
Missing |
Total | ||||
N |
Percent |
N |
Percent |
N |
Percent | |
AN |
32 |
100.0% |
0 |
.0% |
32 |
100.0% |
AW |
32 |
100.0% |
0 |
.0% |
32 |
100.0% |
CXEN |
32 |
100.0% |
0 |
.0% |
32 |
100.0% |
CXEW |
32 |
100.0% |
0 |
.0% |
32 |
100.0% |
|
Statistic |
Std. Error | ||
---|---|---|---|---|
AN |
Mean |
41.6395 |
.9055 | |
95% Confidence Interval for Mean |
Lower Bound |
39.7929 |
| |
Upper Bound |
43.4862 |
| ||
5% Trimmed Mean |
41.4581 |
| ||
Median |
42.0833 |
| ||
Variance |
26.235 |
| ||
Std. Deviation |
5.1220 |
| ||
Minimum |
31.12 |
| ||
Maximum |
54.39 |
| ||
Range |
23.27 |
| ||
Interquartile Range |
5.7947 |
| ||
Skewness |
.494 |
.414 | ||
Kurtosis |
1.062 |
.809 | ||
AW |
Mean |
40.9184 |
.9342 | |
95% Confidence Interval for Mean |
Lower Bound |
39.0132 |
| |
Upper Bound |
42.8237 |
| ||
5% Trimmed Mean |
40.9703 |
| ||
Median |
41.3928 |
| ||
Variance |
27.926 |
| ||
Std. Deviation |
5.2845 |
| ||
Minimum |
28.56 |
| ||
Maximum |
52.95 |
| ||
Range |
24.40 |
| ||
Interquartile Range |
5.5208 |
| ||
Skewness |
-.263 |
.414 | ||
Kurtosis |
.556 |
.809 | ||
CXEN |
Mean |
41.3356 |
1.0764 | |
95% Confidence Interval for Mean |
Lower Bound |
39.1402 |
| |
Upper Bound |
43.5311 |
| ||
5% Trimmed Mean |
41.3389 |
| ||
Median |
42.6035 |
| ||
Variance |
37.079 |
| ||
Std. Deviation |
6.0892 |
| ||
Minimum |
26.83 |
| ||
Maximum |
55.45 |
| ||
Range |
28.61 |
| ||
Interquartile Range |
4.9768 |
| ||
Skewness |
-.191 |
.414 | ||
Kurtosis |
1.044 |
.809 | ||
CXEW |
Mean |
41.4576 |
.9778 | |
95% Confidence Interval for Mean |
Lower Bound |
39.4635 |
| |
Upper Bound |
43.4518 |
| ||
5% Trimmed Mean |
41.4713 |
| ||
Median |
42.6907 |
| ||
Variance |
30.592 |
| ||
Std. Deviation |
5.5310 |
| ||
Minimum |
28.89 |
| ||
Maximum |
54.92 |
| ||
Range |
26.04 |
| ||
Interquartile Range |
6.0087 |
| ||
Skewness |
-.105 |
.414 | ||
Kurtosis |
.751 |
.809 |
|
Kolmogorov-Smirnov(a) |
Shapiro-Wilk | ||||
---|---|---|---|---|---|---|
Statistic |
df |
Sig. |
Statistic |
df |
Sig. | |
AN |
.123 |
32 |
.200(*) |
.949 |
32 |
.217 |
AW |
.114 |
32 |
.200(*) |
.976 |
32 |
.719 |
CXEN |
.148 |
32 |
.074 |
.940 |
32 |
.097 |
CXEW |
.132 |
32 |
.169 |
.967 |
32 |
.489 |
* This is a lower bound of the true significance. | ||||||
a Lilliefors Significance Correction |
AN Stem-and-Leaf Plot Frequency Stem & Leaf 1.00 3 . 1 .00 3 . 3.00 3 . 444 3.00 3 . 777 4.00 3 . 8889 5.00 4 . 01111 8.00 4 . 22222333 4.00 4 . 4445 1.00 4 . 6 1.00 4 . 9 2.00 Extremes (>=54) Stem width: 10.00 Each leaf: 1 case(s)
AW Stem-and-Leaf Plot Frequency Stem & Leaf 2.00 Extremes (=<30) 2.00 3 . 33 2.00 3 . 45 .00 3 . 7.00 3 . 8888999 5.00 4 . 01111 5.00 4 . 22233 5.00 4 . 44444 2.00 4 . 77 1.00 4 . 9 1.00 Extremes (>=53) Stem width: 10.00 Each leaf: 1 case(s)
CXEN Stem-and-Leaf Plot Frequency Stem & Leaf 3.00 Extremes (=<32) 1.00 3 . 1 .00 3 . 1.00 3 . 4 1.00 3 . 7 6.00 3 . 889999 1.00 4 . 0 12.00 4 . 222222233333 3.00 4 . 455 1.00 4 . 6 1.00 4 . 9 2.00 Extremes (>=54) Stem width: 10.00 Each leaf: 1 case(s)
CXEW Stem-and-Leaf Plot Frequency Stem & Leaf 1.00 Extremes (=<29) 3.00 3 . 034 8.00 3 . 56788889 15.00 4 . 112222233333444 3.00 4 . 669 1.00 5 . 0 1.00 Extremes (>=55) Stem width: 10.00 Each leaf: 1 case(s)
Output Created |
22 Jun 98 12:14:25 | |
---|---|---|
Comments |
| |
Input |
Data |
A:\guns\spss\exp1data.sav |
Filter |
<none> | |
Weight |
<none> | |
Split File |
<none> | |
N of Rows in Working Data File |
32 | |
Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
Cases Used |
Statistics are based on all cases with valid data. | |
Syntax |
FREQUENCIES | |
Resources |
Total Values Allowed |
18724 |
Elapsed Time |
0:00:00.38 |
|
N |
Mean |
Median |
Std. Deviation |
Variance |
Range |
Minimum |
Maximum | |
---|---|---|---|---|---|---|---|---|---|
Valid |
Missing | ||||||||
AN |
32 |
0 |
41.6395 |
42.0833 |
5.1220 |
26.2351 |
23.27 |
31.12 |
54.39 |
AW |
32 |
0 |
40.9184 |
41.3928 |
5.2845 |
27.9262 |
24.40 |
28.56 |
52.95 |
CXEN |
32 |
0 |
41.3356 |
42.6035 |
6.0892 |
37.0790 |
28.61 |
26.83 |
55.45 |
CXEW |
32 |
0 |
41.4576 |
42.6907 |
5.5310 |
30.5923 |
26.04 |
28.89 |
54.92 |
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent | |
---|---|---|---|---|---|
Valid |
31.12 |
1 |
3.1 |
3.1 |
3.1 |
34.18 |
1 |
3.1 |
3.1 |
6.3 | |
34.31 |
1 |
3.1 |
3.1 |
9.4 | |
34.41 |
1 |
3.1 |
3.1 |
12.5 | |
37.14 |
1 |
3.1 |
3.1 |
15.6 | |
37.21 |
1 |
3.1 |
3.1 |
18.8 | |
37.54 |
1 |
3.1 |
3.1 |
21.9 | |
38.08 |
1 |
3.1 |
3.1 |
25.0 | |
38.33 |
1 |
3.1 |
3.1 |
28.1 | |
38.88 |
1 |
3.1 |
3.1 |
31.3 | |
39.04 |
1 |
3.1 |
3.1 |
34.4 | |
40.26 |
1 |
3.1 |
3.1 |
37.5 | |
41.13 |
1 |
3.1 |
3.1 |
40.6 | |
41.76 |
1 |
3.1 |
3.1 |
43.8 | |
41.82 |
1 |
3.1 |
3.1 |
46.9 | |
41.88 |
1 |
3.1 |
3.1 |
50.0 | |
42.29 |
1 |
3.1 |
3.1 |
53.1 | |
42.63 |
1 |
3.1 |
3.1 |
56.3 | |
42.64 |
2 |
6.3 |
6.3 |
62.5 | |
42.77 |
1 |
3.1 |
3.1 |
65.6 | |
43.04 |
1 |
3.1 |
3.1 |
68.8 | |
43.73 |
1 |
3.1 |
3.1 |
71.9 | |
43.76 |
1 |
3.1 |
3.1 |
75.0 | |
44.00 |
1 |
3.1 |
3.1 |
78.1 | |
44.35 |
1 |
3.1 |
3.1 |
81.3 | |
44.67 |
1 |
3.1 |
3.1 |
84.4 | |
45.13 |
1 |
3.1 |
3.1 |
87.5 | |
46.08 |
1 |
3.1 |
3.1 |
90.6 | |
49.17 |
1 |
3.1 |
3.1 |
93.8 | |
54.10 |
1 |
3.1 |
3.1 |
96.9 | |
54.39 |
1 |
3.1 |
3.1 |
100.0 | |
Total |
32 |
100.0 |
100.0 |
| |
Total |
32 |
100.0 |
|
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent | |
---|---|---|---|---|---|
Valid |
28.56 |
1 |
3.1 |
3.1 |
3.1 |
30.12 |
1 |
3.1 |
3.1 |
6.3 | |
33.32 |
1 |
3.1 |
3.1 |
9.4 | |
33.71 |
1 |
3.1 |
3.1 |
12.5 | |
34.78 |
1 |
3.1 |
3.1 |
15.6 | |
35.79 |
1 |
3.1 |
3.1 |
18.8 | |
38.13 |
1 |
3.1 |
3.1 |
21.9 | |
38.58 |
1 |
3.1 |
3.1 |
25.0 | |
38.67 |
1 |
3.1 |
3.1 |
28.1 | |
38.71 |
1 |
3.1 |
3.1 |
31.3 | |
39.13 |
1 |
3.1 |
3.1 |
34.4 | |
39.77 |
1 |
3.1 |
3.1 |
37.5 | |
39.83 |
1 |
3.1 |
3.1 |
40.6 | |
40.22 |
1 |
3.1 |
3.1 |
43.8 | |
41.14 |
1 |
3.1 |
3.1 |
46.9 | |
41.17 |
1 |
3.1 |
3.1 |
50.0 | |
41.62 |
1 |
3.1 |
3.1 |
53.1 | |
41.70 |
1 |
3.1 |
3.1 |
56.3 | |
42.52 |
1 |
3.1 |
3.1 |
59.4 | |
42.71 |
1 |
3.1 |
3.1 |
62.5 | |
42.83 |
1 |
3.1 |
3.1 |
65.6 | |
43.25 |
1 |
3.1 |
3.1 |
68.8 | |
43.78 |
1 |
3.1 |
3.1 |
71.9 | |
44.13 |
3 |
9.4 |
9.4 |
81.3 | |
44.63 |
1 |
3.1 |
3.1 |
84.4 | |
44.67 |
1 |
3.1 |
3.1 |
87.5 | |
47.08 |
1 |
3.1 |
3.1 |
90.6 | |
47.90 |
1 |
3.1 |
3.1 |
93.8 | |
49.77 |
1 |
3.1 |
3.1 |
96.9 | |
52.95 |
1 |
3.1 |
3.1 |
100.0 | |
Total |
32 |
100.0 |
100.0 |
| |
Total |
32 |
100.0 |
|
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent | |
---|---|---|---|---|---|
Valid |
26.83 |
1 |
3.1 |
3.1 |
3.1 |
29.43 |
1 |
3.1 |
3.1 |
6.3 | |
31.73 |
1 |
3.1 |
3.1 |
9.4 | |
31.95 |
1 |
3.1 |
3.1 |
12.5 | |
34.40 |
1 |
3.1 |
3.1 |
15.6 | |
37.82 |
1 |
3.1 |
3.1 |
18.8 | |
38.21 |
1 |
3.1 |
3.1 |
21.9 | |
38.44 |
1 |
3.1 |
3.1 |
25.0 | |
39.44 |
1 |
3.1 |
3.1 |
28.1 | |
39.46 |
1 |
3.1 |
3.1 |
31.3 | |
39.47 |
1 |
3.1 |
3.1 |
34.4 | |
39.73 |
1 |
3.1 |
3.1 |
37.5 | |
40.04 |
1 |
3.1 |
3.1 |
40.6 | |
42.16 |
1 |
3.1 |
3.1 |
43.8 | |
42.60 |
2 |
6.3 |
6.3 |
50.0 | |
42.61 |
1 |
3.1 |
3.1 |
53.1 | |
42.61 |
1 |
3.1 |
3.1 |
56.3 | |
42.78 |
1 |
3.1 |
3.1 |
59.4 | |
42.96 |
1 |
3.1 |
3.1 |
62.5 | |
43.17 |
1 |
3.1 |
3.1 |
65.6 | |
43.37 |
1 |
3.1 |
3.1 |
68.8 | |
43.38 |
1 |
3.1 |
3.1 |
71.9 | |
43.65 |
1 |
3.1 |
3.1 |
75.0 | |
43.67 |
1 |
3.1 |
3.1 |
78.1 | |
44.62 |
1 |
3.1 |
3.1 |
81.3 | |
45.13 |
1 |
3.1 |
3.1 |
84.4 | |
45.16 |
1 |
3.1 |
3.1 |
87.5 | |
46.31 |
1 |
3.1 |
3.1 |
90.6 | |
49.80 |
1 |
3.1 |
3.1 |
93.8 | |
53.74 |
1 |
3.1 |
3.1 |
96.9 | |
55.45 |
1 |
3.1 |
3.1 |
100.0 | |
Total |
32 |
100.0 |
100.0 |
| |
Total |
32 |
100.0 |
|
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent | |
---|---|---|---|---|---|
Valid |
28.89 |
1 |
3.1 |
3.1 |
3.1 |
30.03 |
1 |
3.1 |
3.1 |
6.3 | |
33.69 |
1 |
3.1 |
3.1 |
9.4 | |
34.69 |
1 |
3.1 |
3.1 |
12.5 | |
35.27 |
1 |
3.1 |
3.1 |
15.6 | |
36.88 |
1 |
3.1 |
3.1 |
18.8 | |
37.78 |
1 |
3.1 |
3.1 |
21.9 | |
38.22 |
1 |
3.1 |
3.1 |
25.0 | |
38.38 |
1 |
3.1 |
3.1 |
28.1 | |
38.67 |
1 |
3.1 |
3.1 |
31.3 | |
38.76 |
1 |
3.1 |
3.1 |
34.4 | |
39.92 |
1 |
3.1 |
3.1 |
37.5 | |
41.55 |
1 |
3.1 |
3.1 |
40.6 | |
41.80 |
1 |
3.1 |
3.1 |
43.8 | |
42.29 |
1 |
3.1 |
3.1 |
46.9 | |
42.63 |
1 |
3.1 |
3.1 |
50.0 | |
42.75 |
1 |
3.1 |
3.1 |
53.1 | |
42.77 |
1 |
3.1 |
3.1 |
56.3 | |
42.98 |
1 |
3.1 |
3.1 |
59.4 | |
43.04 |
2 |
6.3 |
6.3 |
65.6 | |
43.24 |
1 |
3.1 |
3.1 |
68.8 | |
43.50 |
1 |
3.1 |
3.1 |
71.9 | |
43.59 |
1 |
3.1 |
3.1 |
75.0 | |
44.49 |
1 |
3.1 |
3.1 |
78.1 | |
44.53 |
1 |
3.1 |
3.1 |
81.3 | |
44.62 |
1 |
3.1 |
3.1 |
84.4 | |
46.25 |
1 |
3.1 |
3.1 |
87.5 | |
46.86 |
1 |
3.1 |
3.1 |
90.6 | |
49.86 |
1 |
3.1 |
3.1 |
93.8 | |
50.74 |
1 |
3.1 |
3.1 |
96.9 | |
54.92 |
1 |
3.1 |
3.1 |
100.0 | |
Total |
32 |
100.0 |
100.0 |
| |
Total |
32 |
100.0 |
|
|
Output Created |
23 Jun 98 10:12:06 | |
---|---|---|
Comments |
| |
Input |
Data |
A:\exp1data.sav |
Filter |
<none> | |
Weight |
<none> | |
Split File |
<none> | |
N of Rows in Working Data File |
32 | |
Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
Cases Used |
Statistics are based on all cases with valid data for all variables in the model. | |
Syntax |
GLM | |
Resources |
Elapsed Time |
0:00:00.22 |
PRIME |
WORDTYPE |
Dependent Variable |
---|---|---|
1 |
1 |
AW |
2 |
CXEW | |
2 |
1 |
AN |
2 |
CXEN |
PRIME |
WORDTYPE |
---|
Effect |
Value |
F |
Hypothesis df |
Error df |
Sig. |
Noncent. Parameter |
Observed Power(a) | |
---|---|---|---|---|---|---|---|---|
PRIME |
Pillai's Trace |
.060 |
1.971(b) |
1.000 |
31.000 |
.170 |
1.971 |
.275 |
Wilks' Lambda |
.940 |
1.971(b) |
1.000 |
31.000 |
.170 |
1.971 |
.275 | |
Hotelling's Trace |
.064 |
1.971(b) |
1.000 |
31.000 |
.170 |
1.971 |
.275 | |
Roy's Largest Root |
.064 |
1.971(b) |
1.000 |
31.000 |
.170 |
1.971 |
.275 | |
WORDTYPE |
Pillai's Trace |
.007 |
.214(b) |
1.000 |
31.000 |
.647 |
.214 |
.073 |
Wilks' Lambda |
.993 |
.214(b) |
1.000 |
31.000 |
.647 |
.214 |
.073 | |
Hotelling's Trace |
.007 |
.214(b) |
1.000 |
31.000 |
.647 |
.214 |
.073 | |
Roy's Largest Root |
.007 |
.214(b) |
1.000 |
31.000 |
.647 |
.214 |
.073 | |
PRIME * WORDTYPE |
Pillai's Trace |
.132 |
4.719(b) |
1.000 |
31.000 |
.038 |
4.719 |
.558 |
Wilks' Lambda |
.868 |
4.719(b) |
1.000 |
31.000 |
.038 |
4.719 |
.558 | |
Hotelling's Trace |
.152 |
4.719(b) |
1.000 |
31.000 |
.038 |
4.719 |
.558 | |
Roy's Largest Root |
.152 |
4.719(b) |
1.000 |
31.000 |
.038 |
4.719 |
.558 | |
a Computed using alpha = .05 | ||||||||
b Exact statistic | ||||||||
c Design: Intercept |
|
Mauchly's W |
Approx. Chi-Square |
df |
Sig. |
Epsilon(a) | ||
---|---|---|---|---|---|---|---|
Within Subjects
Effect |
Greenhouse-Geisser |
Huynh-Feldt |
Lower-bound | ||||
PRIME |
1.000 |
.000 |
0 |
. |
1.000 |
1.000 |
1.000 |
WORDTYPE |
1.000 |
.000 |
0 |
. |
1.000 |
1.000 |
1.000 |
PRIME * WORDTYPE |
1.000 |
.000 |
0 |
. |
1.000 |
1.000 |
1.000 |
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. | |||||||
a May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the layers (by default) of the Tests of Within Subjects Effects table. | |||||||
b Design: Intercept |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.872 |
1 |
2.872 |
1.971 |
.170 |
1.971 |
.275 |
Error(PRIME) |
45.178 |
31 |
1.457 |
|
|
|
|
WORDTYPE |
.443 |
1 |
.443 |
.214 |
.647 |
.214 |
.073 |
Error(WORDTYPE) |
64.123 |
31 |
2.068 |
|
|
|
|
PRIME * WORDTYPE |
5.686 |
1 |
5.686 |
4.719 |
.038 |
4.719 |
.558 |
Error(PRIME*WORDTYPE) |
37.351 |
31 |
1.205 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.872 |
1.000 |
2.872 |
1.971 |
.170 |
1.971 |
.275 |
Error(PRIME) |
45.178 |
31.000 |
1.457 |
|
|
|
|
WORDTYPE |
.443 |
1.000 |
.443 |
.214 |
.647 |
.214 |
.073 |
Error(WORDTYPE) |
64.123 |
31.000 |
2.068 |
|
|
|
|
PRIME * WORDTYPE |
5.686 |
1.000 |
5.686 |
4.719 |
.038 |
4.719 |
.558 |
Error(PRIME*WORDTYPE) |
37.351 |
31.000 |
1.205 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.872 |
1.000 |
2.872 |
1.971 |
.170 |
1.971 |
.275 |
Error(PRIME) |
45.178 |
31.000 |
1.457 |
|
|
|
|
WORDTYPE |
.443 |
1.000 |
.443 |
.214 |
.647 |
.214 |
.073 |
Error(WORDTYPE) |
64.123 |
31.000 |
2.068 |
|
|
|
|
PRIME * WORDTYPE |
5.686 |
1.000 |
5.686 |
4.719 |
.038 |
4.719 |
.558 |
Error(PRIME*WORDTYPE) |
37.351 |
31.000 |
1.205 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.872 |
1.000 |
2.872 |
1.971 |
.170 |
1.971 |
.275 |
Error(PRIME) |
45.178 |
31.000 |
1.457 |
|
|
|
|
WORDTYPE |
.443 |
1.000 |
.443 |
.214 |
.647 |
.214 |
.073 |
Error(WORDTYPE) |
64.123 |
31.000 |
2.068 |
|
|
|
|
PRIME * WORDTYPE |
5.686 |
1.000 |
5.686 |
4.719 |
.038 |
4.719 |
.558 |
Error(PRIME*WORDTYPE) |
37.351 |
31.000 |
1.205 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Transformed Variable |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|---|
PRIME |
PRIME_1 |
2.872 |
1 |
2.872 |
1.971 |
.170 |
1.971 |
.275 |
Error(PRIME) |
PRIME_1 |
45.178 |
31 |
1.457 |
|
|
|
|
WORDTYPE |
WORDTYPE_1 |
.443 |
1 |
.443 |
.214 |
.647 |
.214 |
.073 |
Error(WORDTYPE) |
WORDTYPE_1 |
64.123 |
31 |
2.068 |
|
|
|
|
PRIME * WORDTYPE |
PRIME_1*WORDTYPE_1 |
5.686 |
1 |
5.686 |
4.719 |
.038 |
4.719 |
.558 |
Error(PRIME*WORDTYPE) |
PRIME_1*WORDTYPE_1 |
37.351 |
31 |
1.205 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
Intercept |
218728.237 |
1 |
218728.237 |
1867.847 |
.000 |
1867.847 |
1.000 |
Error |
3630.156 |
31 |
117.102 |
|
|
|
|
a Computed using alpha = .05 |
Output Created |
23 Jun 98 10:31:48 | |
---|---|---|
Comments |
| |
Input |
Data |
A:\exp1data.sav |
Filter |
<none> | |
Weight |
<none> | |
Split File |
<none> | |
N of Rows in Working Data File |
32 | |
Missing Value Handling |
Definition of Missing |
User defined missing values are treated as missing. |
Cases Used |
Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis. | |
Syntax |
T-TEST | |
Resources |
Elapsed Time |
0:00:00.11 |
|
N |
Mean |
Std. Deviation |
Std. Error Mean |
---|---|---|---|---|
DIFF |
32 |
.8431 |
2.1953 |
.3881 |
|
Test Value = 0 | |||||
---|---|---|---|---|---|---|
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval of the Difference | ||
Lower |
Upper | |||||
DIFF |
2.172 |
31 |
.038 |
.8431 |
5.156E-02 |
1.6346 |
Output Created |
23 Jun 98 11:00:43 | |
---|---|---|
Comments |
| |
Input |
Data |
A:\exp1dat2.sav |
Filter |
<none> | |
Weight |
<none> | |
Split File |
<none> | |
N of Rows in Working Data File |
32 | |
Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
Cases Used |
Statistics are based on all cases with valid data for all variables in the model. | |
Syntax |
GLM | |
Resources |
Elapsed Time |
0:00:01.65 |
PRIME |
WORDTYPE |
Dependent Variable |
---|---|---|
1 |
1 |
AW |
2 |
CXEW | |
2 |
1 |
AN |
2 |
CXEN |
PRIME |
WORDTYPE |
---|
|
Value Label |
N | |
---|---|---|---|
SEX |
F |
|
15 |
M |
|
17 |
Effect |
Value |
F |
Hypothesis df |
Error df |
Sig. |
Noncent. Parameter |
Observed Power(a) | |
---|---|---|---|---|---|---|---|---|
PRIME |
Pillai's Trace |
.059 |
1.869(b) |
1.000 |
30.000 |
.182 |
1.869 |
.263 |
Wilks' Lambda |
.941 |
1.869(b) |
1.000 |
30.000 |
.182 |
1.869 |
.263 | |
Hotelling's Trace |
.062 |
1.869(b) |
1.000 |
30.000 |
.182 |
1.869 |
.263 | |
Roy's Largest Root |
.062 |
1.869(b) |
1.000 |
30.000 |
.182 |
1.869 |
.263 | |
PRIME * SEX |
Pillai's Trace |
.001 |
.036(b) |
1.000 |
30.000 |
.851 |
.036 |
.054 |
Wilks' Lambda |
.999 |
.036(b) |
1.000 |
30.000 |
.851 |
.036 |
.054 | |
Hotelling's Trace |
.001 |
.036(b) |
1.000 |
30.000 |
.851 |
.036 |
.054 | |
Roy's Largest Root |
.001 |
.036(b) |
1.000 |
30.000 |
.851 |
.036 |
.054 | |
WORDTYPE |
Pillai's Trace |
.007 |
.196(b) |
1.000 |
30.000 |
.661 |
.196 |
.071 |
Wilks' Lambda |
.993 |
.196(b) |
1.000 |
30.000 |
.661 |
.196 |
.071 | |
Hotelling's Trace |
.007 |
.196(b) |
1.000 |
30.000 |
.661 |
.196 |
.071 | |
Roy's Largest Root |
.007 |
.196(b) |
1.000 |
30.000 |
.661 |
.196 |
.071 | |
WORDTYPE * SEX |
Pillai's Trace |
.001 |
.033(b) |
1.000 |
30.000 |
.857 |
.033 |
.054 |
Wilks' Lambda |
.999 |
.033(b) |
1.000 |
30.000 |
.857 |
.033 |
.054 | |
Hotelling's Trace |
.001 |
.033(b) |
1.000 |
30.000 |
.857 |
.033 |
.054 | |
Roy's Largest Root |
.001 |
.033(b) |
1.000 |
30.000 |
.857 |
.033 |
.054 | |
PRIME * WORDTYPE |
Pillai's Trace |
.130 |
4.483(b) |
1.000 |
30.000 |
.043 |
4.483 |
.536 |
Wilks' Lambda |
.870 |
4.483(b) |
1.000 |
30.000 |
.043 |
4.483 |
.536 | |
Hotelling's Trace |
.149 |
4.483(b) |
1.000 |
30.000 |
.043 |
4.483 |
.536 | |
Roy's Largest Root |
.149 |
4.483(b) |
1.000 |
30.000 |
.043 |
4.483 |
.536 | |
PRIME * WORDTYPE * SEX |
Pillai's Trace |
.003 |
.089(b) |
1.000 |
30.000 |
.768 |
.089 |
.060 |
Wilks' Lambda |
.997 |
.089(b) |
1.000 |
30.000 |
.768 |
.089 |
.060 | |
Hotelling's Trace |
.003 |
.089(b) |
1.000 |
30.000 |
.768 |
.089 |
.060 | |
Roy's Largest Root |
.003 |
.089(b) |
1.000 |
30.000 |
.768 |
.089 |
.060 | |
a Computed using alpha = .05 | ||||||||
b Exact statistic | ||||||||
c Design: Intercept+SEX |
|
Mauchly's W |
Approx. Chi-Square |
df |
Sig. |
Epsilon(a) | ||
---|---|---|---|---|---|---|---|
Within Subjects
Effect |
Greenhouse-Geisser |
Huynh-Feldt |
Lower-bound | ||||
PRIME |
1.000 |
.000 |
0 |
. |
1.000 |
1.000 |
1.000 |
WORDTYPE |
1.000 |
.000 |
0 |
. |
1.000 |
1.000 |
1.000 |
PRIME * WORDTYPE |
1.000 |
.000 |
0 |
. |
1.000 |
1.000 |
1.000 |
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. | |||||||
a May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the layers (by default) of the Tests of Within Subjects Effects table. | |||||||
b Design: Intercept+SEX |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.812 |
1 |
2.812 |
1.869 |
.182 |
1.869 |
.263 |
PRIME * SEX |
5.408E-02 |
1 |
5.408E-02 |
.036 |
.851 |
.036 |
.054 |
Error(PRIME) |
45.124 |
30 |
1.504 |
|
|
|
|
WORDTYPE |
.419 |
1 |
.419 |
.196 |
.661 |
.196 |
.071 |
WORDTYPE * SEX |
7.037E-02 |
1 |
7.037E-02 |
.033 |
.857 |
.033 |
.054 |
Error(WORDTYPE) |
64.053 |
30 |
2.135 |
|
|
|
|
PRIME * WORDTYPE |
5.566 |
1 |
5.566 |
4.483 |
.043 |
4.483 |
.536 |
PRIME * WORDTYPE * SEX |
.110 |
1 |
.110 |
.089 |
.768 |
.089 |
.060 |
Error(PRIME*WORDTYPE) |
37.241 |
30 |
1.241 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.812 |
1.000 |
2.812 |
1.869 |
.182 |
1.869 |
.263 |
PRIME * SEX |
5.408E-02 |
1.000 |
5.408E-02 |
.036 |
.851 |
.036 |
.054 |
Error(PRIME) |
45.124 |
30.000 |
1.504 |
|
|
|
|
WORDTYPE |
.419 |
1.000 |
.419 |
.196 |
.661 |
.196 |
.071 |
WORDTYPE * SEX |
7.037E-02 |
1.000 |
7.037E-02 |
.033 |
.857 |
.033 |
.054 |
Error(WORDTYPE) |
64.053 |
30.000 |
2.135 |
|
|
|
|
PRIME * WORDTYPE |
5.566 |
1.000 |
5.566 |
4.483 |
.043 |
4.483 |
.536 |
PRIME * WORDTYPE * SEX |
.110 |
1.000 |
.110 |
.089 |
.768 |
.089 |
.060 |
Error(PRIME*WORDTYPE) |
37.241 |
30.000 |
1.241 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.812 |
1.000 |
2.812 |
1.869 |
.182 |
1.869 |
.263 |
PRIME * SEX |
5.408E-02 |
1.000 |
5.408E-02 |
.036 |
.851 |
.036 |
.054 |
Error(PRIME) |
45.124 |
30.000 |
1.504 |
|
|
|
|
WORDTYPE |
.419 |
1.000 |
.419 |
.196 |
.661 |
.196 |
.071 |
WORDTYPE * SEX |
7.037E-02 |
1.000 |
7.037E-02 |
.033 |
.857 |
.033 |
.054 |
Error(WORDTYPE) |
64.053 |
30.000 |
2.135 |
|
|
|
|
PRIME * WORDTYPE |
5.566 |
1.000 |
5.566 |
4.483 |
.043 |
4.483 |
.536 |
PRIME * WORDTYPE * SEX |
.110 |
1.000 |
.110 |
.089 |
.768 |
.089 |
.060 |
Error(PRIME*WORDTYPE) |
37.241 |
30.000 |
1.241 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
PRIME |
2.812 |
1.000 |
2.812 |
1.869 |
.182 |
1.869 |
.263 |
PRIME * SEX |
5.408E-02 |
1.000 |
5.408E-02 |
.036 |
.851 |
.036 |
.054 |
Error(PRIME) |
45.124 |
30.000 |
1.504 |
|
|
|
|
WORDTYPE |
.419 |
1.000 |
.419 |
.196 |
.661 |
.196 |
.071 |
WORDTYPE * SEX |
7.037E-02 |
1.000 |
7.037E-02 |
.033 |
.857 |
.033 |
.054 |
Error(WORDTYPE) |
64.053 |
30.000 |
2.135 |
|
|
|
|
PRIME * WORDTYPE |
5.566 |
1.000 |
5.566 |
4.483 |
.043 |
4.483 |
.536 |
PRIME * WORDTYPE * SEX |
.110 |
1.000 |
.110 |
.089 |
.768 |
.089 |
.060 |
Error(PRIME*WORDTYPE) |
37.241 |
30.000 |
1.241 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Transformed Variable |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|---|
PRIME |
PRIME_1 |
2.812 |
1 |
2.812 |
1.869 |
.182 |
1.869 |
.263 |
PRIME * SEX |
PRIME_1 |
5.408E-02 |
1 |
5.408E-02 |
.036 |
.851 |
.036 |
.054 |
Error(PRIME) |
PRIME_1 |
45.124 |
30 |
1.504 |
|
|
|
|
WORDTYPE |
WORDTYPE_1 |
.419 |
1 |
.419 |
.196 |
.661 |
.196 |
.071 |
WORDTYPE * SEX |
WORDTYPE_1 |
7.037E-02 |
1 |
7.037E-02 |
.033 |
.857 |
.033 |
.054 |
Error(WORDTYPE) |
WORDTYPE_1 |
64.053 |
30 |
2.135 |
|
|
|
|
PRIME * WORDTYPE |
PRIME_1*WORDTYPE_1 |
5.566 |
1 |
5.566 |
4.483 |
.043 |
4.483 |
.536 |
PRIME * WORDTYPE * SEX |
PRIME_1*WORDTYPE_1 |
.110 |
1 |
.110 |
.089 |
.768 |
.089 |
.060 |
Error(PRIME*WORDTYPE) |
PRIME_1*WORDTYPE_1 |
37.241 |
30 |
1.241 |
|
|
|
|
a Computed using alpha = .05 |
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Noncent. Parameter |
Observed Power(a) |
---|---|---|---|---|---|---|---|
Intercept |
217461.675 |
1 |
217461.675 |
1822.198 |
.000 |
1822.198 |
1.000 |
SEX |
49.947 |
1 |
49.947 |
.419 |
.523 |
.419 |
.096 |
Error |
3580.210 |
30 |
119.340 |
|
|
|
|
a Computed using alpha = .05 |