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

Question # 00008021
Subject: Statistics
Due on: 02/28/2014
Posted On: 02/07/2014 12:46 AM

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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.

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 = _____

.gcu.edu/learningPlatform/content/content.html?operation=viewContent&contentId=d44183c8-0c06-4a02-b59e-afeb780243eb" title="PSY845.R.SPSS data set legend.docx">PSY845.R.SPSS Data Set Legend.docx .gcu.edu/learningPlatform/content/content.html?operation=viewContent&contentId=e6c2fd29-f2dc-4df0-abdb-b353fd32a7f6" title="Drinks.sav">Drinks.sav .gcu.edu/learningPlatform/content/content.html?operation=viewContent&contentId=e91a8384-3baf-41bc-afe0-8ee33d270564" title="PSY845.R.Output for mod 7 pearson correlation exercises.docx">PSY845.R.Output for Mod 7 Pearson Correlation exercises.docx .gcu.edu/learningPlatform/content/content.html?operation=viewContent&contentId=ef5e3832-8652-49de-b066-3fe2fedd7534" title="PSY845.R.Output for mod 7 factorial anova 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 productâ€™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

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

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:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.sav Active Dataset DataSet1 File Label SPSS/PC+ Filter Weight Split File 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:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks 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:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.sav Active Dataset DataSet1 File Label SPSS/PC+ Filter Weight Split File 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:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks 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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#### PSY-845 SPSS Data -SPSS output -Review the SPSS output file which reports the results of the between-group (independent

Tutorial # 00007643
Posted On: 02/07/2014 12:47 AM
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Preview: notation: xxxxxx df2) x _____, p x _____) There xx not xxxxxx xxxxxxxx to xxxxxxx that mean xxxxxxx by volume xxxxx is xxxxxxxxx xxx different xxxxxxxxxxxx of expert xxxxxx and magazine xxxxxxxxxxxxxx (F(2, xxx x 0 xxxx p = x 466) Review xxx SPSS xxxxxx xxxxx which xxxxxxx the results xx computing the xxxxxxx product-moment xxxxxxxxxxx xxxxxxxxxxx to xxxxxxx the possible xxxxxxxxxxxx between the xxxxxx of xxxxxxxx xx a xxxxx of beer xxx its alcohol xx volume xxxxxx xxx following xxxxxxxxx based on.....
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