Mod 5 - Graphing homework
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Module4MixedANOVA_MarthaRamsey2.docx2
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Module 4 – Mixed ANOVA
Martha Ramsey
Saint Leo University
Research Methods II: PSY 535
Instructor Keith Burton
July 31, 2022
Module 4 – Mixed ANOVA
In this assignment, a mixed ANOVA test was conducted to study male/female stimulus smile detection accuracy. The test was conducted using SPSS.
The descriptive statistics results showed that males accurately detected male smiles (M = 9.96, SD = 2.82) better than females accurately detected male smiles (M = 8.69, SD = 2.63). On the other hand, females accurately detected female smiles (M = 6.23, SD = 2.78) better than males accurately detected female smiles (M = 5.22, SD = 2.00).
The mixed ANOVA results showed there was a significant main effect of smiles, F (1,47) = 38.18, p < .001, η2 = .45. This indicates the detection accuracy of smiles were significantly different irrespective of the gender of the participant. The main effect of gender participant was not significant, F (1,47) = .08, p = .79, η2 = .002. This indicates if we ignore the smiles, male and female participants did not significantly differ in their detection accuracy. The interaction effect between smiles and gender participant was not significant F (1,47) = 3.82, p = .06, η2 = .08, indicating if we ignore whether the smile is from a male or female, male and female participants did not significantly differ in their detection accuracy of male smiles or female smiles.
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Descriptive Statistics |
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|
|
gender_participant |
Mean |
Std. Deviation |
N |
|
male_smiles |
f |
8.6923 |
2.63468 |
26 |
|
|
m |
9.9565 |
2.82003 |
23 |
|
|
Total |
9.2857 |
2.76887 |
49 |
|
female_smiles |
f |
6.2308 |
2.77572 |
26 |
|
|
m |
5.2174 |
1.99901 |
23 |
|
|
Total |
5.7551 |
2.47092 |
49 |
|
Tests of Within-Subjects Effects |
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Measure: MEASURE_1 |
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|
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Partial Eta Squared |
Noncent. Parameter |
Observed Powera |
|
|
Smiles |
Sphericity Assumed |
316.389 |
1 |
316.389 |
38.183 |
.000 |
.448 |
38.183 |
1.000 |
|
|
Greenhouse-Geisser |
316.389 |
1.000 |
316.389 |
38.183 |
.000 |
.448 |
38.183 |
1.000 |
|
|
Huynh-Feldt |
316.389 |
1.000 |
316.389 |
38.183 |
.000 |
.448 |
38.183 |
1.000 |
|
|
Lower-bound |
316.389 |
1.000 |
316.389 |
38.183 |
.000 |
.448 |
38.183 |
1.000 |
|
Smiles * gender_participant |
Sphericity Assumed |
31.654 |
1 |
31.654 |
3.820 |
.057 |
.075 |
3.820 |
.482 |
|
|
Greenhouse-Geisser |
31.654 |
1.000 |
31.654 |
3.820 |
.057 |
.075 |
3.820 |
.482 |
|
|
Huynh-Feldt |
31.654 |
1.000 |
31.654 |
3.820 |
.057 |
.075 |
3.820 |
.482 |
|
|
Lower-bound |
31.654 |
1.000 |
31.654 |
3.820 |
.057 |
.075 |
3.820 |
.482 |
|
Error(Smiles) |
Sphericity Assumed |
389.448 |
47 |
8.286 |
|
|
|
|
|
|
|
Greenhouse-Geisser |
389.448 |
47.000 |
8.286 |
|
|
|
|
|
|
|
Huynh-Feldt |
389.448 |
47.000 |
8.286 |
|
|
|
|
|
|
|
Lower-bound |
389.448 |
47.000 |
8.286 |
|
|
|
|
|
|
a. Computed using alpha = .05 |
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Tests of Between-Subjects Effects |
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|
Measure: MEASURE_1 |
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|
Transformed Variable: Average |
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|
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Partial Eta Squared |
Noncent. Parameter |
Observed Powera |
|
Intercept |
5527.404 |
1 |
5527.404 |
1084.369 |
.000 |
.958 |
1084.369 |
1.000 |
|
gender_participant |
.384 |
1 |
.384 |
.075 |
.785 |
.002 |
.075 |
.058 |
|
Error |
239.575 |
47 |
5.097 |
|
|
|
|
|
|
a. Computed using alpha = .05 |
