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PSY 520 SPSS Assignment 2

Questions:

1) Describe in your own words what type of research situations call for a researcher to use an ANOVA analysis.

Type answer below:

The one-way analysis of variance (ANOVA) is utilized to figure out if there are any noteworthy contrasts between the method for three or more autonomous (disconnected) bunches.

2a) Use the Compare Means function (AnalyzeCompare MeansMeans) to compare the means of the three Sound conditions on Anxiety and Performance.

Report
Type of background music during the test	Performance on a test of general math ability	Anxiety level during the test	Prior math experience
Rock	Mean	60.0000	36.5385	1.5385
	N	13	13	13
	Std. Deviation	7.70281	7.21821	.51887
Classical	Mean	67.7143	36.5000	1.5000
	N	14	14	14
	Std. Deviation	7.01020	4.65337	.51887
White Noise	Mean	59.1429	37.7143	1.5714
	N	14	14	14
	Std. Deviation	10.22709	5.41264	.51355
Total	Mean	62.3415	36.9268	1.5366
	N	41	41	41
	Std. Deviation	9.12307	5.70259	.50485

2b) Based on these results, on which variable does it most appear there might be significant differences based on the Sound condition?

Type answer below:

The variable that appears to be significantly different based on sound condition would be performance.

3a) Conduct a one-way ANOVA on both Anxiety and Performance using Sound as the independent variable. That is, conduct two separate one-way ANOVAs, one with Anxiety as the dependent variable and one with Performance as the dependent variable.

ANOVA
Anxiety level during the test
	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	13.193	2	6.596	.195	.824
Within Groups	1287.588	38	33.884
Total	1300.780	40

ANOVA
Performance on a test of general math ability
	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	618.648	2	309.324	4.336	.020
Within Groups	2710.571	38	71.331
Total	3329.220	40

3b) Based on these results, were either of your ANOVAs significant? How can you tell? Use a cutoff level of .05 for your decision.

Type your answer below:

Based on the results there is a significant in the ANOVA with performance. I can tell this because I used the significant cutoff level of 0.05 and the significant level of performance was 0.020.

4a) Remember that in a one-way ANOVA, we are only looking at the impact of one variable on the dependent variable. Factorial ANOVAs, on the other hand, assess the impact of multiple independent variables. Conduct a factorial ANOVA on Performance using both Sound and Experience as independent variables. Be sure to choose the option to view the estimated marginal means for all of your main effects and interactions—this will allow you to more easily interpret the results.

Paste your output for only the Test of Between-Subjects Effects below:

Tests of Between-Subjects Effects
Dependent Variable: Performance on a test of general math ability
Source	Type III Sum of Squares	df	Mean Square	F	Sig.
Corrected Model	2155.464a	5	431.093	12.855	.000
Intercept	160268.014	1	160268.014	4779.001	.000
Sound	492.240	2	246.120	7.339	.002
Experience	1324.027	1	1324.027	39.481	.000
Sound * Experience	231.822	2	115.911	3.456	.043
Error	1173.756	35	33.536
Total	162674.000	41
Corrected Total	3329.220	40
a. R Squared = .647 (Adjusted R Squared = .597)

4b) Write the results of the ANOVA. For help, refer to the third paragraph of the “Two-factor ANOVA” section of this document.

Type answer below:

A 2 x 2 ANOVA revealed a significant in sound F(2,35) =7.34, p <. 002. Female faces were rated as more attractive than male faces. There was a significant interaction between sound times experience F(2,35) = 3.46, p <. 043.