Question
Offered Price $21.00

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

Rating:
4.1/5
Expert tutors with experiences and qualities
Posted By
Best Tutors for school students, college students
Questions:
10087
Tutorials:
10336
Feedback Score:

Purchase it
Report this Question as Inappropriate
Question

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 .gcu.edu/documents/tools/researchtools/statistical-research-folder/psy870multivariatestatistics/psy8453adoctoralstatistics">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 = _____


.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 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:\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



<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:\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



<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:\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)






Profile Plots









Tags output results betweengroup reports independent file data review psy845 brand alcohol volume recommendation output file rating beer data total mean correlation miing codes values level following information fluid psy845 ltnonegt ounces review magazine statistics pearson given calories variables

Tutorials for this Question
Available for
$25.00

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
Posted By:
Best Tutors for school students, college students spqr
Expert tutors with experiences and qualities
Questions:
10087
Tutorials:
10336
Feedback Score:
Report this Tutorial as Inappropriate
Tutorial Preview …reports xxx results…
Attachments
spss_anova.docx (14.17 KB)
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.....
Purchase this Tutorial @ $25.00 *
* - Additional Paypal / Transaction Handling Fee (3.9% of Tutorial price + $0.30) applicable
Loading...