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

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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 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: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 = _____).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 = _____).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:Looking at the correlations table, what is the r-value for the correlation between these two variables?Is that r-value statistically significant? What is the 2-tailed significance?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.docxPSY-845 SPSS Data Set LegendInformation 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:Product name (abbreviation of product?s brand name)Product ID codeRating assigned to the product by a taste expert for each brandCodes: Each brand is given a numerical ID, with 1 being the first one to 35 for the last oneCodes: 1 = Very good2 = Good3 = FairRecommended by leading beer connoisseur magazine?Codes: 0 = no1 = yesCountry of origin for each brand:Codes: 1 = USA2 = Canada3 = France4 = Holland5 = Mexico6 = Germany7 = JapanAvailability in the USA for each brandCodes: 1 = National2 = RegionalPrice per 6-pack for each brand (values are in US Dollars)Cost per 12 fluid ounces for each brand (values are in US Dollars)Calories per 12 fluid ouncesSodium per 12 fluid ounces for each brand (values are in milligrams, mg)Alcohol by volume for each brand (values are percents, %)Price class for each brandCodes: 0 = Not classified1 = Super premium2 = Premium3 = PopularRegular or reduced calorie for each brandCodes: 0 = Regular1 = Reduced calorieNumber of US states in which brand was sold in 2008.Number of US states in which brand was sold in 2012.CORRELATIONS/VARIABLES=calories alcohol/PRINT=TWOTAIL NOSIG/STATISTICS DESCRIPTIVES/MISSING=PAIRWISE.CorrelationsNotesOutput Created07-JUN-2013 13:24:52CommentsInputDataC:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.savActive DatasetDataSet1File LabelSPSS/PC+Filter Weight Split File N of Rows in Working Data File35Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing.Cases UsedStatistics for each pair of variables are based on all the cases with valid data for that pair.SyntaxCORRELATIONS/VARIABLES=calories alcohol/PRINT=TWOTAIL NOSIG/STATISTICS DESCRIPTIVES/MISSING=PAIRWISE.ResourcesProcessor Time00:00:00.02Elapsed Time00:00:00.45[DataSet1] C:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.savDescriptive StatisticsMeanStd. DeviationNCalories per 12 Fluid Ounces for brand139.7724.44735Alcohol by Volume (in %) for brand4.6686.3529535CorrelationsCalories per 12 Fluid Ounces for brandAlcohol by Volume (in %) for brandCalories per 12 Fluid Ounces for brandPearson Correlation1.839**Sig. (2-tailed).000N3535Alcohol by Volume (in %) for brandPearson Correlation.839**1Sig. (2-tailed).000N3535**. 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 VarianceNotesOutput Created07-JUN-2013 13:19:59CommentsInputDataC:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.savActive DatasetDataSet1File LabelSPSS/PC+Filter Weight Split File N of Rows in Working Data File35Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing.Cases UsedStatistics are based on all cases with valid data for all variables in the model.SyntaxUNIANOVA 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.ResourcesProcessor Time00:00:00.36Elapsed Time00:00:00.73[DataSet1] C:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.savBetween-Subjects FactorsValue LabelNRated Quality of Brand1VeryGood112Good143Fair10Recommended by leading beer connoseur magazine in 2012 review0No181Yes17Descriptive StatisticsDependent Variable: Alcohol by Volume (in %) for brandRated Quality of BrandRecommended by leading beer connoseur magazine in 2012 reviewMeanStd. DeviationNVeryGoodNo4.7000.000004Yes5.0143.106907Total4.9000.1788911GoodNo4.3625.244588Yes4.9167.312526Total4.6000.3882914FairNo4.3333.294396Yes4.7750.221744Total4.5100.3414010TotalNo4.4278.2696518Yes4.9235.2305717Total4.6686.3529535Tests of Between-Subjects EffectsDependent Variable: Alcohol by Volume (in %) for brandSourceType III Sum of SquaresdfMean SquareFSig.Corrected Model2.679a5.5369.983.000Intercept717.1421717.14213361.573.000rating.4942.2474.601.018Recommendation1.55911.55929.041.000rating * Recommendation.0842.042.785.466Error1.55629.054Total767.08035Corrected Total4.23534Tests of Between-Subjects EffectsDependent Variable: Alcohol by Volume (in %) for brandSourcePartial Eta SquaredCorrected Model.633aIntercept.998rating.241Recommendation.500rating * Recommendation.051ErrorTotalCorrected Totala. R Squared =.633 (Adjusted R Squared =.569)Profile Plots

 

Paper#62399 | Written in 18-Jul-2015

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