Module 7 SPSS Data Interpretation

Directions: 

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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 = _____

CORRELATIONS

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/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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