PSY-845 SPSS Data -SPSS output -Review the SPSS output file which reports the results of the between-group (independent

A between-group factorial ANOVA compares the mean values of more than two groups and more than two factors. The Pearson product-moment correlation coefficient measures the relationship between two variables. In this assignment, you will review the SPSS output for a factorial ANOVA and use it to answer questions about the groups. You will also review the SPSS output to determine if a correlation exists between the variables.

General Requirements:

Use the following information to ensure successful completion of the assignment:

• Download the document “SPSS Data Set Legend” for use with this assignment.
• Download the document “Module 7 ANOVA SPSS Output” for use with this assignment.
• Download the document “Module 7 Pearson SPSS Output” for use with this assignment.
• Access the PSY-845 folder on the DC Network at https://dc.gcu.edu/documents/tools/researchtools/statistical-research-folder/psy870multivariatestatistics/psy8453adoctoralstatistics helpful information.

Directions:

Review the SPSS output file which reports the results of the between-group (independent group) factorial ANOVA to see if the mean alcohol by volume (%) differs as a function of rating given by beer expert (IV 1) and/or recommendation made by a beer connoisseur magazine (IV 2). Answer the following questions based on your observations of the SPSS output file:

1. Is the mean alcohol by volume level different for the type of rating given by the beer expert (main effect of IV1)? What are F-value and the significance level for this test (write result using the following notation: F(df1, df2) = _____, p = _____).
2. Is the mean alcohol by volume level different for the type of recommendation given by the beer magazine? What are F-value and the significance level for this test (write result using following notation: F(df1, df2) = _____, p = _____).
3. Is the mean alcohol by volume level different for different combinations of expert rating and magazine recommendation (interaction term)? What are F-value and the significance level for this test (write result using following notation: F(df1, df2) = _____, p = _____).

Review the SPSS output file, which reports the results of computing the Pearson product-moment correlation coefficient to examine the possible relationship between the number of calories in a brand of beer and its alcohol by volume. Answer the following questions based on your observations of the SPSS output file:

1. Looking at the correlations table, what is the r-value for the correlation between these two variables?
2. Is that r-value statistically significant? What is the 2-tailed significance?
3. Write the results in the following format: r(df value) = ____, p = _____

PSY845.R.SPSS Data Set Legend.docx Drinks.sav PSY845.R.Output for Mod 7 Pearson Correlation exercises.docx PSY845.R.Output for Mod 7 Factorial ANOVA exercises.docx

PSY-845 SPSS Data Set Legend

Information has been gathered on 35 brands of wheat beer. Qualitative (categorical) information has been given codes. Information that is in numerical form (e.g., $ amount) does not need to be coded.

Here are all the types of information gathered on these beers:

1. Product name (abbreviation of product’s brand name)
2. Product ID code
3. Rating assigned to the product by a taste expert for each brand

1. Codes: Each brand is given a numerical ID, with 1 being the first one to 35 for the last one

1. Codes: 1 = Very good

2 = Good

3 = Fair

1. Recommended by leading beer connoisseur magazine?

1. Codes: 0 = no

1 = yes

1. Country of origin for each brand:

1. Codes: 1 = USA

2 = Canada

3 = France

4 = Holland

5 = Mexico

6 = Germany

7 = Japan

1. Availability in the USA for each brand

1. Codes: 1 = National

2 = Regional

1. Price per 6-pack for each brand (values are in US Dollars)
2. Cost per 12 fluid ounces for each brand (values are in US Dollars)
3. Calories per 12 fluid ounces
4. Sodium per 12 fluid ounces for each brand (values are in milligrams, mg)
5. Alcohol by volume for each brand (values are percents, %)
6. Price class for each brand

1. Codes: 0 = Not classified

1 = Super premium

2 = Premium

3 = Popular

1. Regular or reduced calorie for each brand

1. Codes: 0 = Regular

1 = Reduced calorie

1. Number of US states in which brand was sold in 2008.
2. Number of US states in which brand was sold in 2012.

CORRELATIONS

/VARIABLES=calories alcohol

/PRINT=TWOTAIL NOSIG

/STATISTICS DESCRIPTIVES

/MISSING=PAIRWISE.

Correlations

Notes
Output Created	07-JUN-2013 13:24:52
Comments
Input	Data	C:UsersdonnDocumentsGCU Lead facProject with Judy for modifying PSY845 to introduce SPSSdrinks database -revised for course applications DH.sav
Active Dataset	DataSet1
File Label	SPSS/PC+
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	35
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax	CORRELATIONS /VARIABLES=calories alcohol /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE.
Resources	Processor Time	00:00:00.02
Elapsed Time	00:00:00.45

[DataSet1] C:UsersdonnDocumentsGCU Lead facProject with Judy for modifying PSY845 to introduce SPSSdrinks database -revised for course applications DH.sav

Descriptive Statistics
	Mean	Std. Deviation	N
Calories per 12 Fluid Ounces for brand	139.77	24.447	35
Alcohol by Volume (in %) for brand	4.6686	.35295	35

Correlations
	Calories per 12 Fluid Ounces for brand	Alcohol by Volume (in %) for brand
Calories per 12 Fluid Ounces for brand	Pearson Correlation	1	.839**
Sig. (2-tailed)		.000
N	35	35
Alcohol by Volume (in %) for brand	Pearson Correlation	.839**	1
Sig. (2-tailed)	.000
N	35	35

**. Correlation is significant at the 0.01 level (2-tailed).

UNIANOVA alcohol BY rating Recommendation

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/POSTHOC=rating(TUKEY)

/PLOT=PROFILE(rating*Recommendation)

/EMMEANS=TABLES(OVERALL)

/EMMEANS=TABLES(rating)

/PRINT=ETASQ DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/DESIGN=rating Recommendation rating*Recommendation.

Univariate Analysis of Variance

Notes
Output Created	07-JUN-2013 13:19:59
Comments
Input	Data	C:UsersdonnDocumentsGCU Lead facProject with Judy for modifying PSY845 to introduce SPSSdrinks database -revised for course applications DH.sav
Active Dataset	DataSet1
File Label	SPSS/PC+
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	35
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	UNIANOVA alcohol BY rating Recommendation /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /POSTHOC=rating(TUKEY) /PLOT=PROFILE(rating*Recommendation) /EMMEANS=TABLES(OVERALL) /EMMEANS=TABLES(rating) /PRINT=ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=rating Recommendation rating*Recommendation.
Resources	Processor Time	00:00:00.36
Elapsed Time	00:00:00.73

[DataSet1] C:UsersdonnDocumentsGCU Lead facProject with Judy for modifying PSY845 to introduce SPSSdrinks database -revised for course applications DH.sav

Between-Subjects Factors
	Value Label	N
Rated Quality of Brand	1	VeryGood	11
2	Good	14
3	Fair	10
Recommended by leading beer connoseur magazine in 2012 review	0	No	18
1	Yes	17

Descriptive Statistics
Dependent Variable: Alcohol by Volume (in %) for brand
Rated Quality of Brand	Recommended by leading beer connoseur magazine in 2012 review	Mean	Std. Deviation	N
VeryGood	No	4.7000	.00000	4
Yes	5.0143	.10690	7
Total	4.9000	.17889	11
Good	No	4.3625	.24458	8
Yes	4.9167	.31252	6
Total	4.6000	.38829	14
Fair	No	4.3333	.29439	6
Yes	4.7750	.22174	4
Total	4.5100	.34140	10
Total	No	4.4278	.26965	18
Yes	4.9235	.23057	17
Total	4.6686	.35295	35

Tests of Between-Subjects Effects
Dependent Variable: Alcohol by Volume (in %) for brand
Source	Type III Sum of Squares	df	Mean Square	F	Sig.
Corrected Model	2.679a	5	.536	9.983	.000
Intercept	717.142	1	717.142	13361.573	.000
rating	.494	2	.247	4.601	.018
Recommendation	1.559	1	1.559	29.041	.000
rating * Recommendation	.084	2	.042	.785	.466
Error	1.556	29	.054
Total	767.080	35
Corrected Total	4.235	34

Tests of Between-Subjects Effects
Dependent Variable: Alcohol by Volume (in %) for brand
Source	Partial Eta Squared
Corrected Model	.633a
Intercept	.998
rating	.241
Recommendation	.500
rating * Recommendation	.051
Error
Total
Corrected Total

a. R Squared = .633 (Adjusted R Squared = .569)

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