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:
- 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.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:
- Product name (abbreviation of product’s brand name)
- Product ID code
- Rating assigned to the product by a taste expert for each brand
- Codes: Each brand is given a numerical ID, with 1 being the first one to 35 for the last one
- Codes: 1 = Very good
2 = Good
3 = Fair
- Recommended by leading beer connoisseur magazine?
- Codes: 0 = no
1 = yes
- Country of origin for each brand:
- Codes: 1 = USA
2 = Canada
3 = France
4 = Holland
5 = Mexico
6 = Germany
7 = Japan
- Availability in the USA for each brand
- Codes: 1 = National
2 = Regional
- Price 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 ounces
- Sodium 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 brand
- Codes: 0 = Not classified
1 = Super premium
2 = Premium
3 = Popular
- Regular or reduced calorie for each brand
- Codes: 0 = Regular
1 = Reduced calorie
- Number 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.
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
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Solution: PSY-845 SPSS Data -SPSS output -Review the SPSS output file which reports the results of the between-group (independent