ONEWAY alcohol BY rating /STATISTICS DESCRIPTIVES HOMOGENEITY /PLOT MEANS /MISSING ANALYSIS /POSTHOC=TUKEY ALPHA(0.05). Oneway Notes Output Created 07-JUN-2013 12:39:57 Comments C:\\Users\\donn\\Documents\\GCU Lead fac\\Project with Judy for modifying Data PSY845 to introduce SPSS\\drinks database -revised for course applications DH.sav Input Active Dataset DataSet1 File Label SPSS/PC+ Filter Weight Split File N of Rows in Working Data 35 File Definition of Missing Missing Value Handling User-defined missing values are treated as missing. Statistics for each analysis are based Cases Used on cases with no missing data for any variable in the analysis. ONEWAY alcohol BY rating /STATISTICS DESCRIPTIVES HOMOGENEITY Syntax /PLOT MEANS /MISSING ANALYSIS /POSTHOC=TUKEY ALPHA(0.05). Resources Processor Time 00:00:00.33 Elapsed Time 00:00:00.42 [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 Descriptives Alcohol by Volume (in %) for brand N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Lower Bound Upper Bound VeryGood 11 4.9000 .17889 .05394 4.7798 5.0202 Good 14 4.6000 .38829 .10377 4.3758 4.8242 Fair 10 4.5100 .34140 .10796 4.2658 4.7542 Total 35 4.6686 .35295 .05966 4.5473 4.7898 Descriptives Alcohol by Volume (in %) for brand Minimum Maximum VeryGood 4.70 5.20 Good 4.00 5.50 Fair 3.90 5.00 Total 3.90 5.50 Test of Homogeneity of Variances Alcohol by Volume (in %) for brand Levene Statistic 1.420 df1 df2 2 Sig. 32 .256 ANOVA Alcohol by Volume (in %) for brand Sum of Squares Between Groups df Mean Square .906 2 .453 Within Groups 3.329 32 .104 Total 4.235 34 F 4.357 Sig. .021 Post Hoc Tests Multiple Comparisons Dependent Variable: Alcohol by Volume (in %) for brand Tukey HSD (I) Rated Quality of Brand (J) Rated Quality of Brand Mean Difference Std. Error Sig. (I-J) Good .12995 .069 .39000 * .14093 .025 VeryGood -.30000 .12995 .069 .09000 .13354 .780 VeryGood -.39000 * .14093 .025 Good Good .30000 Fair VeryGood -.09000 .13354 .780 Fair Fair Multiple Comparisons Dependent Variable: Alcohol by Volume (in %) for brand Tukey HSD (I) Rated Quality of Brand (J) Rated Quality of Brand 95% Confidence Interval Lower Bound Good .0437* .7363 -.6193 .0193 Fair -.2382 .4182 VeryGood * -.7363 -.0437 Good Fair .6193 VeryGood Good -.0193 Fair VeryGood -.4182 .2382 *. The mean difference is significant at the 0.05 level. Homogeneous Subsets Alcohol by Volume (in %) for brand Tukey HSD Upper Bound a,b Rated Quality of Brand N Subset for alpha = 0.05 1 2 Fair 10 4.5100 Good 14 4.6000 VeryGood 11 Sig. 4.6000 4.9000 .784 .082 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 11.436. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed. Means Plots College of Doctoral Studies 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 a. Codes: Each brand is given a numerical ID, with 1 being the first one to 35 for the last one 3. Rating assigned to the product by a taste expert for each brand 4. a. Codes: 1 = Very good 2 = Good 3 = Fair Recommended by leading beer connoisseur magazine? a. Codes: 0 = no 1 = yes 5. Country of origin for each brand: a. Codes: 1 = USA 2 = Canada 3 = France 4 = Holland 5 = Mexico 6 = Germany 7 = Japan 6. Availability in the USA for each brand a. Codes: 1 = National 2 = Regional 7. Price per 6-pack for each brand (values are in US Dollars) 8. Cost per 12 fluid ounces for each brand (values are in US Dollars) 9. Calories per 12 fluid ounces 10. Sodium per 12 fluid ounces for each brand (values are in milligrams, mg) 11. Alcohol by volume for each brand (values are percents, %) 12. Price class for each brand a. Codes: 0 = Not classified 1 = Super premium 2 = Premium 3 = Popular 13. Regular or reduced calorie for each brand a. Codes: 0 = Regular 1 = Reduced calorie 14. Number of US states in which brand was sold in 2008. 15. Number of US states in which brand was sold in 2012. 2013. Grand Canyon University. All Rights Reserved. Module 6 SPSS Data Interpretation Due Date: Nov 11, 2015 23:59:59 Max Points: 20 Details: A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups. General Requirements: Use the following information to ensure successful completion of the assignment: Review "SPSS Access Instructions" for information on how to access SPSS for this assignment. Download the document "SPSS Data Set Legend" for use with this assignment. Download the document "Module 6 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-researchfolder/psy870multivariatestatistics/psy8453adoctoralstatistics helpful information. Directions: Review the SPSS output file which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file: 1. Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain. 2. Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know? 3. Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______. 4. The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know? PSY845.R.SPSS Data Set Legend.docx SPSSAccessInstructions.docx PSY845.R.Output for Mod 6 exercises.docx Drinks.sav